The 9th International Workshop on Computational Transportation Science Annual Meeting of Transportation Management Research Association

The 9th International Workshop on Computational
Transportation Science
Annual Meeting of Transportation Management
Research Association

Workshop Program

Hosted By:

Transportation Management Research
Association

Organized by:

Lanzhou Jiaotong University

Supported by:

National Natural Science Foundation of China

July 13-15, 2017
Lanzhou, China

The 9th International Workshop on Computational Transportation


Science (CTS-2017)
The 9th International Workshop on Computational Transportation Science (CTS-2017) & Annual
Meeting of Transportation Management Research Association, will be held from 14 to 15 July 2017
in Lanzhou Jiaotong University, Lanzhou, China. It is hosted by Transportation Management
Research Association, organized by Lanzhou Jiaotong University.

This workshop covers all areas of transportation research, with a focus on quantitative methods and
analyses of transport systems. The purpose of this workshop is to bring together leading experts and
promising young researchers in the field of transportation to share their recent researches, and to
provide an opportunity for scientific discussion and interaction in relatively small groups.

International Advisory Committee
Prof. Xiaowen Fu

University of Sydney

Prof. Ziyou Gao

Beijing Jiaotong University

Prof. Hai-jun Huang

Beihang University

Prof. Hong K. Lo

The Hong Kong University of Science and Technology

Prof. Qiang Meng

National University of Singapore

Prof. Yanfeng Ouyang

University of Illinois

Prof. Jiuh-Biing Sheu

National Taiwan University

Prof. S.C.Wong

The University of Hong Kong

Prof. Hai Yang

The Hong Kong University of Science and Technology

Prof. Yafeng Yin

University of Michigan, Ann Arbor

Prof. Lei Zhang

University of Maryland

Prof. Xuesong Zhou

Arizona State University

Academic Committee
Chair:


Hai-jun Huang, Beihang University

Committee members：
Ying-en Ge

Shanghai Maritime University

Renyong Guo

Inner Mongolia University

Fang He

Tsinghua University

Rui Jiang

Beijing Jiaotong University

Xiaopeng Li

University of South Florida

Zhi-chun Li

Huazhong University of Science and Technology

Tianliang Liu

Beihang University

Jiancheng Long

HeFei University of Technology

Shoufeng Ma

Tianjin University

Huimin Niu

Lanzhou Jiaotong University

Hu Shao

China University of Mining and Technology

Huijun Sun

Beijing Jiaotong University

Zhijia Tan

Huazhong University of Science and Technology

Tieqiao Tang

Beihang University

Lijun Tian

Fuzhou University

Qiong Tian

Beihang University

Jianjun Wu

Beijing Jiaotong University

Feng Xiao

Southwestern University of Finance and Economic

Lixing Yang

Beijing Jiaotong University

Xin Yang

Beijing Jiaotong University

Lu Zhen

Shanghai University

Jing Zhou

Nanjing University

Organizing Committee
Chair:
Huimin Niu, Lanzhou Jiaotong University. ()


Co-chair:
Xuesong Zhou, Arizona State University, ()

Committee members：
Qiong Tian
Yingzhou Li
Xiaoping Guang
Jianqiang Wang
Bin lv
Zhiqiang Tian
Li Wang

Beihang University
Lanzhou Jiaotong University
Lanzhou Jiaotong University
Lanzhou Jiaotong University
Lanzhou Jiaotong University
Lanzhou Jiaotong University
Lanzhou Jiaotong University


Contents
1. Schedule
Conference Agenda ................................................................................................ 1
Session Agenda ...................................................................................................... 4

2. Keynote Speech
Modelling the Potential for Aviation Liberalization in Central Asia-Market analysis and
implications for the One-Belt-One-Road initiative
Xiaowen Fu .............................................................................................................9
User equilibrium of a single-entry traffic corridor with continuous scheduling preference
Hai-Jun Huang ...................................................................................................... 15
Adaptive coordinated traffic control for stochastic demand
Hong K. Lo....................................................................................................... . . 16
Electric Vehicle Fleet Size and Trip Pricing for One-Way Car-Sharing
Services Considering Vehicle Relocation and Personnel Assignment
Qiang Meng .......................................................................................................... 17
Planning Reliable Service Facilities under Disruption Risks and Traffic Equilibrium in A
Continuous Space
Yanfeng Ouyang ................................................................................................... 18
Integrated Emergency Transportation-Logistics Management: Potential Issues and
Challenges
Jiuh-Biing Sheu .....................................................................................................19
A predictive continuum dynamic user-optimal model for the simultaneous departure time
and route choice problem in a polycentric city
S.C. WONG .......................................................................................................... 20
Managing rail transit peak-hour congestion with fare-reward schemes
Hai Yang ................................................................................................................16
Modeling Spatial Effects of Dynamic Pricing in Ride-Sourcing Markets
Yafeng Yin............................................................................................................. 17
Integrated Travel Behavior and Dynamic Traffic Models for Real-Time
Applications on Large-Scale Networks
Lei Zhang ..............................................................................................................18
Enabling transportation system intelligence: Hierarchical estimation of traveler behavior
and dynamic traffic network state using a computational graph approach
Xuesong Zhou .......................................................................................................19

Coordinating assignment and routing decisions in transit vehicle schedules: A variablesplitting Lagrangian decomposition approach for solution symmetry breaking
Huimin Niu ........................................................................................................... 25
3. Lanzhou maps, campus routes ..................................................................... 25
4. Volunteer contact information ....................................................................... 25


Conference Agenda
13
July
14
July

14:00pm-22:00pm

Registration, Yuyuan Hotel

Open & Welcome
Venue: Conference Hall, International Exchanges and Exhibition Center,
Lanzhou Jiaotong University Time: 8:30am9:15am
Opening address
Prof. Ping Wang, Secretary of Lanzhou Jiaotong University
8:30am-9:00am
9:00am-9:15am

Group Photograph and Coffee Break
Keynote Speech
Venue: Conference Hall, International Exchanges and Exhibition Center,
Lanzhou Jiaotong University Time: 9:15am12:00pm
Host Prof. Yafeng Yin
Topic: Managing rail transit peak-hour congestion with fare-reward

schemes
Prof. Hai Yang, Chair Professor, Department of Civil and
9:15am-9:45am
Environmental Engineering, Hong Kong University of Science and
Technology

9:45am-10:15am

10:15am-10:45am

10:45am-11:00am

11:00am-11:30am

11:30am-12:00pm

Topic: Integrated Travel Behavior and Dynamic Traffic
Models for Real-Time Applications on Large-Scale Networks
Prof. Lei Zhang, Herbert Rabin Distinguished Professor,
Engineering and Director of the U.S. DOT
National Transportation Center, University of Maryland
Topic: Adaptive coordinated traffic control for stochastic demand
Prof. Hong K. Lo, Department Head and Chair Professor,
Department of Civil and Environmental
Engineering, Hong Kong University of Science and Technology

Coffee Break
Host Prof. Xuesong Zhou
Topic: Modeling Spatial Effects of Dynamic Pricing in RideSourcing Markets
Prof. Yafeng Yin, Professor, Department of Civil and

Environmental Engineering, University of Michigan, Ann Arbor
Topic: Coordinating assignment and routing decisions


in transit vehicle schedules: A variable-splitting Lagrangian
decomposition approach for solution symmetry breaking
Prof. Huimin Niu, Professor, School of Traffic and
Transportation, Lanzhou Jiaotong University
12:00pm-14:30pm Lunch, Yuyuan Hotel
Session, Time: 14:30pm-16:30pm
Session I
Session II
Session III
Chair: S.C.Wong
Chair: Lei Zhang
Chair: Hong K. Lo Venue: MBA
Venue: Medium
Venue: MBA Center,
Center, the 18th floor room B
th
conference room
the 18 floor room A
Session IV
Chair: Jiuh-Biing Sheu
Venue: Medium
conference room

Session, Time: 16:30pm-18:30pm
Session V
Session VI

Chair: Zhi-chun Li
Chair: Xiaowen Fu Venue: MBA
Venue: MBA Center,
Center, the 18th floor room B
the 18th floor room A

18:30pm-20:00pm
15
July

Banquet, Yuyuan Hotel
Keynote Speech
Venue: Conference Hall, International Exchanges and Exhibition Center,
Lanzhou Jiaotong University Time: 8:00am10:40am
Host Prof. Qiang Meng
Topic: User equilibrium of a single-entry traffic corridor with
continuous scheduling preference
8:00am-8:30am
Prof. Hai-jun Huang, Professor, Vice President of Beihang
University

8:30am-9:00am

9:00am-9:30am

9:30am-9:40am

9:40am-10:10am

Topic: A predictive continuum dynamic user-optimal model for the

simultaneous departure time and route choice problem in a
polycentric city
Prof. S.C. Wong, Chair Professor, Department of Civil
Engineering, The University of Hong Kong
Topic: Planning Reliable Service Facilities under Disruption Risks
and Traffic Equilibrium in A Continuous Space
Prof. Yanfeng Ouyang, Professor, Department of Civil and
Environmental Engineering, University of Illinois at UrbanaChampaign (UIUC)
Coffee Break
Host Prof. Yanfeng Ouyang
Topic: Modelling the Potential for Aviation Liberalization in
Central Asia-Market analysis and implications for the One-BeltOne-Road
initiative
Prof.
Xiaowen
Fu,
Associate
Professor,Institute of
Transport and Logistics Studies,University of Sydney


Topic: Electric Vehicle Fleet Size and Trip Pricing for One-Way
Car-Sharing Services Considering Vehicle Relocation and Personnel
10:10am-10:40am Assignment
Prof. Qiang Meng, Professor, Department of Civil and
Environmental, National University of Singapore
Session, Time: 10:40am-12:00pm
Session VII
Session VIII
Chair: Jianjun Wu

Chai: Xiaopeng Li
Venue: International Exchanges and
Venue: Medium conference room
Exhibition Center
12:00pm-14:30pm

Lunch, Yuyuan Hotel
Academic Committee Closed-door Meeting
Venue: Conference room, the 3th floor, Yuyuan Hotel Time: 12:30pm14:30pm
Keynote Speech
Venue: Conference Hall, International Exchanges and Exhibition Center,
Lanzhou Jiaotong University Time: 14:30pm15:30pm
Host Prof. Hai Yang
Topic: Integrated Emergency Transportation-Logistics Management:
Potential Issues and Challenges
14:30pm-15:00pm Prof. Jiuh-Biing Sheu, Distinguished Professor,
Department of Business Administration, National Taiwan University

15:00pm-15:30pm

Topic: Enabling transportation system intelligence: Hierarchical
estimation of traveler behavior and dynamic traffic network state
using a computational graph approach
Prof. Xuesong Zhou, School of Sustainable
Engineering and the Built Environment, Arizona State University

Presentation and Closing Ceremony
Venue: International Exchanges and Exhibition Center Time: 15:30pm16:00pm
Host Prof. Huimin Niu (Lanzhou Jiaotong University)
Speech by leader of Management Science and

15:30pm-15:40pm
Engineering Society
15:40pm-15:50pm Speech by Leader of Lanzhou Jiaotong University
15:50pm-16:00pm Best Paper Award

Session Agenda
14
July

Session I
Venue: Medium conference room
Time: 14:30pm-16:30pm
Chair: S.C.Wong


14:30pm-14:50pm

Step tolling in an activity based bottleneck model
Zhichun Li (Huazhong University of Science and Technology)

14:50pm-15:10pm

On the Stochastic Fundamental Diagram for Freeway
Traffic: Model Development,
Analytical Properties, Validation, and Extensive
Applications
Xiaobo Qu (University of Technology Sydney)

15:10pm-15:30pm

Exploring the impact of mid-link sources and sinks on the
shape of macroscopic fundamental diagrams with automatic
number plate recognition data
Shoufeng Lu (Changsha University of Science & Technology)

15:30pm-15:50pm

Ridesharing with
Autonomous
Vehicles
Considering Activity Duration Uncertainty Xiaolei Guo
(University of Windsor)

15:50pm-16:10pm

16:10pm-16:30pm

Proactive demand management in an integrated team-based
train timetabling modelling framework for a scheduled
transportation system
Lingyun Meng (Beijing Jiaotong University)
A parsimonious model for trajectory smoothing and joint
signal optimization with connected automated vehicles
Xiaopeng Li (University of South Florida)

Session II
Venue: MBA Center, the 18 floor room A Time: 14:30pm-16:30pm
Chair: Lei Zhang
Heterogeneous effects of ambient temperature and vehicle
auxiliary loads on electric vehicles energy consumption

efficiency: A stochastic
14:30pm-14:50pm
frontier model with random coefficients Kai Liu (Dalian
University of Technology)
14:50pm-15:10pm
Can carbon trading reduce airlines’ CO2
th

15:10pm-15:30pm
15:30pm-15:50pm

emissions under CNG2020 strategy? An analysis through a
Network weak disposability DEA Qiang Cui (Southeast
University)
Estimating carbon dioxide emission of freeway traffic: A
spatiotemporal grid-based model Zhengbing He (Beijing
Jiaotong University)
Urban taxi vehicle’s air pollution and emission reduction
strategies based on GPS data Xiaowei Hu (Harbin Institute of
Technology)


15:50pm-16:10pm
16:10pm-16:30pm

Impact of the Built Environment on the Vehicle Emission
Effects of Road Pricing Policies: A simulation case study
Shaopeng Zhong (Dalian University of Technology)
Negativity bias in travel information and its impact on choice
behavior Li Tang (Xihua University)

Session III
Venue: MBA Center, the 18 floor room B Time: 14:30pm-16:30pm
Chair: Hong K. Lo
Maximizing Route Diversity Redundancy in Network Design
Problem
14:30pm-14:50pm
Xiangdong Xu (Tongji University)
th

14:50pm-15:10pm

15:10pm-15:30pm

15:30pm-15:50pm

15:50pm-16:10pm

16:10pm-16:30pm

A network approach for modeling and control of large-scale
multimodal traffic flow dynamics Nan Zheng (Beihang
University)
Building and analyzing the robustness of interdependent
hazmat transportation network Peng Hu (Southwest Jiaotong
University)
Study on Vehicle Routing Problem Based on Improved
Particle Swarm Optimization Algorithm
Guoliang Shen (Chang'an University)
Determination of Key Components in Automobile

Braking System based on ABC Classification used FMECA
Yaping Luo (Chang'an University)
Mechanisms of flight delay propagation in dynamic edgeweighted networks
Weiwei Wu (Nanjing University of Aeronautics and Astronautics)
Session IV
Venue: Medium conference room

16:30pm-16:50pm
16:50pm-17:10pm

Time: 16:30pm-18:30pm
Chair: Jiuh-Biing Sheu
Short-Term Forecasting of Passenger Demand under OnDemand Ride Services: A Spatio-Temporal Deep Learning
Approach
Xiqun Chen (Zhejiang University)
A New Generalized Variational Inequality Formulation for the
Bimodal Stochastic Traffic Assignment Problem
Chi Xie (Shanghai Jiao Tong University)


17:10pm-17:30pm

17:30pm-17:50pm

17:50pm-18:10pm

18:10 pm -18:30 pm

Willingness to Board: A Novel Concept for Modeling Queuing
Up Passengers

Zhiyuan Liu (Southeast University)
System optimum dynamic traffic assignment with day to day
incentive routing strategies
Chuanlin Zhao (Beijing University of Civil Engineering and
Architecture)
An Analysis of Two Hybrid Route Choice Models in Stochastic
Assignment Paradox
Jia Yao (Harbin Institute of Technology)
Recasting and optimizing intersection automation as a
connected-and-automated-vehicle (CAV) scheduling problem:
A sequential branch-and-bound search approach in PhaseTime-Traffic hypernetwork
Pengfei(Taylor) Li (Mississippi State University)

Session V
Venue: MBA Center, the 18 floor room A Time: 16:30pm-18:10pm
Chair: Zhi-chun Li
A two-stage stochastic programming approach for traffic
sensor location model
16:30pm-16:50pm
Ning Zhu (Tianjin University)
The Traffic Performance Index based Road Charging Model
under Uncertain Emissions
16:50pm-17:10pm
Ying Lv (Beijing Jiaotong University)
th

17:10pm-17:30pm

Traffic state estimation in an urban transit service network: a
state-dependent and time-dependent multicommodity flow

formulation
Pan Shang (Tsinghua University)

17:30pm-17:50pm

A Government Subsidies Model for Build-Operate-Transfer
(BOT) Urban Rail Transit Projects
Zhenyao Wu (Southwest Jiaotong University)

17:50pm-18:10pm

Research on the Effect of High Speed Railway to Road
Passenger Transportation in Regional Passenger Corridor and
the Development Strategy
Meng Li (Chang'an University)

Session VI
Venue: MBA Center, the 18 floor room B Time: 16:30pm-18:10pm
Chair: Xiaowen Fu
th


16:30pm-16:50pm

16:50pm-17:10pm

17:10pm-17:30pm

15
July

Optimal Model for Corridor Transit Design Integrated with
Property Development with Multiple Centers
Wenbo Fan (Southwest Jiaotong University)
Using improved entropy-coupling and coordination model to
evaluate and decouple railway dangerous goods transportation
system risk
Wencheng Huang(Southwest Jiaotong University)
Research on the mode of air-rail intermodality and the optimal
network connectivity under the background of CRH Express
Mingfei Wang(Southwest Jiaotong University)

Research on a class of intensive distribution logistics network
design and profit distribution considering sharing economy
17:30pm-17:50pm
Shuai Yang(Southwest Jiaotong University)
Profit Distribution in Collaborative Multiple Centers Vehicle
Routing Problem
17:50pm-18:10pm
Yong Wang (Chongqing Jiaotong University)
Session VII
Venue: International Exchanges and Exhibition Center Time: 10:40am-12:00pm
Chair: Jianjun Wu
A Comparative Analysis of Price Effects of Two Airline Mergers
in China
10:40am-11:00am
Hangjun
Yang (University of International Business and
Economics)
Value of In-Vehicle Crowding by Time of Day in a Morning Rail

Commute: Model and Evaluation
11:00am-11:20am
Tianliang Liu (Beihang University)
11:20am-11:40am

Suitability Evaluation of Interval Schedule Time of High-speed
Railway Train
Maosheng Li (Central South University)
Urban
Spatial Patterns in a Bimodal
Monocentric
City with Car-owning and
11:40am-12:00am
No-car-owning Residents
Shuxian Xu(Beihang University)
Session VIII
Venue: Medium conference room
Time: 10:40am-12:00pm
Chair: Xiaopeng Li
10:40am-11:00am

Simulation study on evacuation of pedestrian flow via dynamic
evolutionary game theory
Shiwei Li (Lanzhou Jiaotong University)


11:00am-11:20am

11:20am-11:40am

11:40am-12:00am

The Influence of Peak-Avoidance Incentives on Subway
Commuters' Traveling Behavior in Beijing
Hang Zhao (Beijing Jiaotong University)
Distribution route multi-objective optimisation of dangerous
goods considering the time reliability
Xiaoyan Jia (Lanzhou Jiaotong University)
Impact of personalized route recommendation in the
cooperation vehicle-infrastructure systems on the network
traffic flow evolution
Jianqiang Wang (Lanzhou Jiaotong University)

Modelling the Potential for Aviation Liberalization in Central Asia-Market analysis and
implications for the One-Belt-One-Road initiative
Xiaowen Fu
Institute of Transport and Logistics Studies, University of Sydeny, Australia,

Abstract: This study analyzes aviation markets in land-locked countries in Central Asia, namely
Uzbekistan, Kazakhstan, Turkmenistan, Tajikistan, and Kyrgyzstan. In these countries, there is no
close substitute for the air travel mode due to the tyranny of distance. Aviation liberalization can
therefore be of special importance to these countries. This study uses observed industry panel data
spanning from 2007 to 2015 to estimate airline entry patterns in origin-destination markets.
Econometric estimates for domestic and international markets are subsequently benchmarked, and
route groups are paired by alternative matching algorithms. These investigations allow us to
quantify market potential and predict airline route entry in counterfactual scenarios, so that the


effects of different liberalization schemes can be simulated. Our empirical results identified
substantial market potential in the Central Asia – China aviation market in terms of serviceable

routes upon further liberalization. These findings are in sharp contrast to the industry reality that the
Central Asia to China market has lagged the developments to other markets such as former Soviet
Union states and some Europe countries. Policy and managerial implications are provided as the end
of the presentation.
Dr. Xiaowen Fu is an Associate Professor in the Institute of Transport and
Logistics Studies, the University of Sydney. His main research area is
transport economics which covers issues such as competition policy and
government regulation, efficiency benchmarking, transport demand modelling
and industrial organization. He has been the principal investigator of 15
research grants and published more than 40 journal articles. He has been the
guest editor of 5 journal special issues, and organized more than 6 major
international conferences in the capacity of conference chair. He is on the
editorial boards of three journals, and is an editor of the journal of Transport
Policy, associate editor of the book series “Advances in Airlines Economics”. Dr. Fu has provided
advisory and economic modeling services to organizations such as the Boeing Commercial Aircraft,
New Zealand Commerce Commission, Australian Competition and Consumer Commission,
Government of British Columbia in Canada, Australian Competition Tribunal, Hong Kong Civil
Aviation Department, Hong Kong Transport and Housing Bureau, Japan Rail (East), and OECD. He
is a member of the Air Transport Research Society (ATRS), International Maritime Economists
Association (IAME), the World Conference of Transportation Research (WCTR) and the American
Economics Association.

User equilibrium of a single-entry traffic corridor with continuous scheduling preference
Chuan-Yao Li, Hai-Jun Huang
School of Economics and Management, Beihang University
Abstract: In this paper, we investigate the user equilibrium (UE) of a single-entry traffic corridor
with continuous scheduling preference (CSP) and develop methods to obtain the solution. We show
that CSP can perfectly eliminate the non-differential point on cumulative inflow curve in bottleneck
problem. In the corridor problem with only early arrivals, CSP lets inflow rate first increase then
decrease, which leads us to design a novel iterative process for obtaining the whole outflow rate

curve and then the cumulative inflow curve. In the case with both early and late arrivals, CSP lets
the first shock wave occur in the middle of the corridor, rather than at the entry point, which make
the UE flow pattern more smooth and stable. An approximate UE assignment is recursively
generated by utilizing the method of graphical construction on the base of the cumulative inflow


curve of early arrivals. After the first shock wave, other shock waves still exist but gradually
weaken and finally, the inflow and outflow rates approach to zero.
Prof. Hai-jun Huang is the Cheng Kong professor of the Beijing University of
Aeronautics and Astronautics (BUAA). He is now the vice president of the
BUAA and had served as the dean of the School of Economics and
Management and the BUAA's Graduate School. From 2000 to 2004, he was the
vice director of the Department of Management Sciences, National Natural
Science Foundation of China. He received his Ph.D in transport operations
research from BUAA in 1992. His research interests include road traffic flow
models, transport network modeling, travel behavior analysis and congested
road-use pricing. He has published more than 140papers in such international
journals as Transportation Research (Part A, Part B, Part C, Part E), Operations Research,
Transportation Science, JORS, EJOR, N&SE, Physical Review E, Physical A, Networks and Spatial
Economics, Journal of Transport Economics and Policy, Journal of Advanced Transportation and
etc. He co-authored the book “Mathematical and Economic Theory of Road Pricing” published by
Elsevier in 2005. In 1998, he got the National Excellent Young Researcher Grant, China. He is now
on the editorial boards of more than 15 journals, including Transportation Research Part B, JAT,
Transportmetrica, Transportation Letters/The International Journal of Transportation Research,
Journal of Transportation Systems Engineering and Information Technology, Journal of Systems
Engineering Theory and Practice. From 2011, he has become a member of the International
Advisory Committee, ISTTT. He is now the vice presidents of the China Systems Engineering
Society, the China Society of Management Science and Engineering, the China Society of
OM/OR/ME. Now he is leading a '973' project of the National Basic Research Program, as the PI.

Adaptive coordinated traffic control for stochastic demand
Hong K. Lo
Hong Kong University of Science and Technology
Abstract: Traffic arrivals at intersections are inherently uncertain due to variable traffic conditions.
This paper develops an adaptive coordinated traffic control approach via the notion of Phase
Clearance Reliability (PCR) (Lo, 2006). In contrast with a conventional green extension scheme, the
proposed approach adjusts signal offsets adaptively to explicitly address the presence of stochastic
demands. Based on the cumulative queuing regime, we first extend the delay models, which are
usually formulated for isolated intersections, to coordinated intersections by incorporating the
effects of residual queue and signal offset. We then formulate a two-stage stochastic program to
minimize the expected total delay for the coordinated corridor. The base timing plan is derived at
Stage 1, while recourse decisions of adaptive signal offsets are made at Stage 2 to compensate for
the overflow effects. Furthermore, a PCR-based gradient solution algorithm is developed to solve


this two-stage stochastic program. The case study on a 3-intersection network under different levels
of demand variability confirms the effectiveness of the proposed PCR-based control method, which
can reduce the expected total delay by as much as 50-60% compared with the traditional
optimization approach, as confirmed by simulation with the Cell Transmission Model. Its
remarkable performance stems in a large part from the resultant much shorter cycles, as the random
arrivals are addressed by adjusting the signal offsets adaptively. This effective use of signal offset
provides a new perspective for designing coordinated signal control plans.
Professor Hong K. Lo is Department Head and Chair Professor of Civil
and Environmental Engineering of the Hong Kong University of
Science and Technology. His expertise includes dynamic transportation
system modeling, traffic control, network reliability, and public
transportation analysis. He has published extensively in the
transportation literature, with a dozen book chapters and over 170
refereed journal papers. His current SCI h-index is 30, Google Scholar
h-index 42. He was selected as one of the Most Cited Researchers in

Civil Engineering by Elsevier in 2016. Professor Lo is very active in the
transportation community, for instance, elected as Convener of the International Scientific
Committee of the conference series Advanced Systems for Public Transportation (CASPT),
serves as Founding Editor-in-Chief of Transportmetrica B: Transport Dynamics (2015 SCI
Impact Factor 2.56), Managing Editor of Journal of Intelligent Transportation Systems, and on
the editorial boards of many international journals, including Transportation Research Part B,
International Journal of Sustainable Transportation, ASCE Journal of Urban Planning and
Development, among others.

Electric Vehicle Fleet Size and Trip Pricing for One-Way Car-Sharing Services
Considering Vehicle Relocation and Personnel Assignment
Qiang Meng
Department of Civil and Environmental Engineering, National University of
Singapore, Singapore,
Abstract: This study proposes an interesting electric vehicle fleet size and trip pricing (EVFS&TP)
problem for the one-way car-sharing services by taking into account the necessary practical
requirements of vehicle relocation and personnel assignment. The EVFS&TP problem aims to
maximize the profit of the one-way car-sharing operators by determining the electric vehicle fleet
size, trip pricing as well as the strategies of vehicle relocation and personnel assignment subject to
the elastic demand for the one-way car-sharing services. A mixed-integer nonlinear and nonconvex
programming model is first built for the EVFS&TP problem. By exploiting the unique structure of
the original built model, a mixed-integer convex programming model is then developed. An


effective global optimization method with several outer-approximation schemes is put up to find the
global optimal or ε-optimal solution to the EVFS&TP problem. A case study based on a one-way
car-sharing operator in Singapore is conducted to demonstrate the efficiency of the proposed model
and solution method, and analyze the impact of demand, degree of elasticity, fixed operational cost
of EV and payment for personnel on the performance of the one-way car-sharing services.
Dr. Qiang Meng is a Professor in the Department of Civil and Environmental

Engineering at National University of Singapore (NUS) and a co-director of
NUS-LTA Transportation Centre. He received his PhD from the Department of
Civil and Environmental Engineering at Hong Kong University of Science and
Technology in 2000. His research focuses include transportation network
modeling and optimization, shipping and intermodal freight transportation
network analysis, and quantitative risk assessment of transport operations. He
has published more than 140 articles on the leading transportation and logistics
journals, with the SCI H-index rate of 31. He is an Associate Editor of Transportation Research Part
B, Journal of Transportation Engineering (ASCE) and Transportation Research Part E. He has
clinched a number of research awards and prizes, including Changjiang Chair Professor by the
Ministry of Education of PR China in 2017, the Outstanding Alumni Award of the Department of
Civil and Environmental Engineering at Hong Kong University of Science and Technology in 2016,
Dean’s Chair in Faculty of Engineering at NUS in 2015, the 13th World Conference on
Transportation Research (WCTR) Society Prize for the best paper (2013), Best Paper Award for
Methodological Development in the 9th EASTS (East Asia Society for Transportation Studies)
International Conference (2011), Best Paper Award of AHB40 - Highway Capacity and Quality of
Service Committee - in the 90th TRB Annual Meeting (2011) and Singapore MOT (Ministry of
Transportation) Minister’s Innovation Award 2009.

Planning Reliable Service Facilities under Disruption Risks and Traffic
Equilibrium in A Continuous Space
Yanfeng Ouyang
Department of Civil and Environmental Engineering, The University of Illinois at
Urbana-Champaign (UIUC), USA,
Abstract: Many service systems are composed of interrelated facilities that jointly serve spatially
distributed demand. Establishment of such facilities could induce or alter customer traffic that
exacerbates congestion in the neighborhood, as customers often choose their own service facility
and access path. The situation is further worsened by the risk for the service facilities to be
disrupted. This talk presents models for reliable service facility design under traffic equilibrium in a
continuous space. We first discuss solution methods for a class of nonlinear partial differential

equations (PDE) that describe continuous traffic equilibrium. We show that under certain conditions
the PDE can be solved, either exactly or approximately, in closed analytical forms. We then develop
several facility location/layout design models, including mixed-integer programs with equilibrium


constraints that can be solved by Lagrangian relaxation with embedded PDE solution methods.
When closed-form PDE solution is available, the reliable design models reduce to a much simpler
nonlinear program.
Prof. Yanfeng Ouyang is George Krambles Endowed Professor, Paul F. Kent
Endowed Faculty Scholar of Civil and Environmental Engineering, and Donald
B. Willett Faculty Scholar at the University of Illinois at Urbana-Champaign
(UIUC). He received his Ph.D. from the University of California at Berkeley in
2005. His research mainly focuses on modeling transportation, logistics, and
infrastructure systems, and applications to military, energy, and agricultural
industries. He currently serves as a Department/Area/Associate Editor of IIE
Transactions, Networks and Spatial Economics, Transportation Science,
Transportation Research Part C, and Transportmetrica B. He is also on the editorial board of
Transportation Research Part B, and ASCE Journal of Infrastructure Systems. His work has been
recognized by a Merit Award for Technical Study from the American Planning Association, a Walter
L. Huber Research Prize from the American Society of Civil Engineers, a High Impact Project
Award from the Illinois Department of Transportation, a Faculty Early Career Development
(CAREER) Award from the U.S. National Science Foundation, a Campus Distinguished Promotion
Award from UIUC, an Outstanding Adviser Award from UIUC, and a Xerox Award for Faculty
Research from UIUC, among others.

Integrated Emergency Transportation-Logistics Management: Potential Issues and
Challenges
Jiuh-Biing Sheu
Department of Business Administration, National Taiwan University, Taiwan,

Abstract: Nowadays, disasters, either man-made or natural, existing ubiquitously on the earth, have
been a common issue encountered by people around the world. Emergency transportation and
logistics management, thus, emerges and becomes increasingly important in the fields of
transportation, logistics management and related areas. This presentation sheds light on not only the
research gaps and issues needed to be addressed but also the potential methodology for solutions
while expanding the research scope from “Emergency Logistics Management” to “Integrated
Emergency Transportation-Logistics Management” with the ultimate goal of maximizing postdisaster survival resilience. Furthermore, several novel research ideas and related works published
in journals including Transportation Research Parts B and E are illustrated to stimulate more
researchers to dig into related research.


Professor Jiuh-Biing Sheu holds the distinguished professor at National
Taiwan University. He is also the Editor in Chief of Transportation Research
Part E, Associate Editor of Transportmetrica B, and editorial board member
of Industrial Marketing Management. Professor Sheu has published over
eighty refereed journal articles in academic journals, including
Transportation Research Parts A, B, C, E, F, Transportation Science, and
Production and Operations Management, with a half of them by singly
authored. Additionally, Professor Sheu published two special issues on
Emergency Logistics management and Green Supply Chain Management for Transportation
Research Part E in 2007 and 2011, respectively. His research areas cover Intelligent Transportation
Systems (ITS), Emergency Logistics, Green Supply Chain Management, Business-to-Business
Relationship Marketing, Quantum Optical Flow Theory and its Applications in ITS, Behavioral
Operations Management, Green Marketing, Affect Science and Cognition in Decision Science. He
received Outstanding Researcher Awards from Ministry of Technology of Taiwan in 2006, 2012,
and 2015; Outstanding Young Researcher Project, National Science Council, Taiwan (2011-2015);
Outstanding Scholar Research Project, National Science Council, Taiwan (2008-2011); Outstanding
Researcher Award, National Chiao Tung University (2004) and Da-You Wu Outstanding Junior
Researcher Award, National Science Council, Taiwan in 2003. Additionally, Professor Sheu is
awarded Shanghai Eastern-Scholar Chair Professor (2013), One Thousand Person Project of

Shanghai (2013), and Chair Professor of Chang Jiang Scholars Program of China (2016).

A predictive continuum dynamic user-optimal model for the simultaneous departure time
and route choice problem in a polycentric city
S.C. WONG
Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong,
China
Tel.: 852-2859-1964; fax: 852-2559-5337; e-mail:
Abstract: This study develops a predictive continuum dynamic user-optimal model for the
simultaneous departure time and route choice problem through a variational inequality (VI)
approach. A polycentric urban city with multiple central business districts (CBDs) is considered, and
travelers are classified into different classes according to their destinations (i.e., CBDs). The road
network within the modeling city is assumed to be sufficiently dense and can be viewed as a
continuum. A predictive dynamic user-optimal (PDUO) model has been previously used to model
traffic flow with a given traffic demand distribution, in which travelers choose the routes that
minimize the actual travel cost to the CBD. In this work, we combine the departure time choice with
the PDUO model to study the simultaneous departure time and route choice problem. The useroptimal departure time principle is satisfied, which states that for each origin-destination (OD) pair,


the total costs incurred by travelers departing at any time are equal and minimized. We then present
an equivalent VI and solve it using the projection method after discretization based on unstructured
meshes. A numerical experiment for an urban city with two CBDs is presented to demonstrate the
effectiveness of the numerical algorithm.
Professor S.C. Wong is Chair Professor at the Department of Civil Engineering
of the University of Hong Kong, and was conferred the Francis Y S Bong
Professorship in Engineering in 2016. He received his BSc(Eng) and MPhil
degrees from the University of Hong Kong and a PhD in Transport Studies from
University College London. Professor Wong has published extensively in
reputable international journals with high impact factors. He has published
more than 280 papers in refereed journals, in addition to numerous conference

papers and presentations, including 70 keynote and invited talks. His journal
articles have attracted more than 4,000 citations, garnering him an h-index of 34 according to the
ISI Web of Science. He is currently Editor-in-Chief of Transportmetrica A: Transport Science, and
International Journal of Sustainable Transportation, and serves on the editorial boards of other
sixteen journals, including IEEE Transactions on Intelligent Transportation Systems,
Transportation Research Part B, Accident Analysis and Prevention, Transport Reviews, etc. Locally,
Professor Wong is currently a Justice of the Peace, and Vice-Chairman of the Town Planning Board
of the Hong Kong SAR Government. In 2015, Professor Wong was awarded the Bronze Bauhinia
Star by the Hong Kong SAR Government.

Managing rail transit peak-hour congestion with fare-reward schemes Hai Yang
Department of Civil and Environmental Engineering, Hong Kong University of Science and
Technology, Hong Kong, China,
Abstract: This paper analyzes a new fare-reward scheme for managing commuter’s departure time
choice in a rail transit bottleneck, which aims to incentivize commuters’ shift of departure time to the
shoulder periods of the peak hour to relieve queueing congestion at the transit stations. A framework
of the rail transit bottleneck is provided and the user equilibrium with a uniform-fare and social
optimum with service run-dependent fares is determined. A fare-reward scheme (FRS) is then
introduced that rewards a commuter one free trip during the shoulder periods after a certain number
of paid trips during the peak hour. For a given number of peak-hour commuters and ex-ante uniform
fare, the FRS determines the free fare intervals and the reward ratio (the number of paid trips
required for one free trip, which is equivalent to the ratio of the number of rewarded commuters to
the total number of commuters on each day during the peak hour). The new fare under the FRS is
determined so that the transit operator’s revenue keeps unchanged before and after introducing the
FRS. Our study indicates that, depending on the original fare, FRS implements an optimal reward
ratio up to 50% and yields a reduction of system total time cost and average equilibrium trip cost by
at least 25% and 20%.


Professor Hai Yang is currently a Chair Professor at The Hong Kong

University of Science and Technology. He is internationally known as an
active scholar in the field of transportation, with more than 220 papers
published in SCI/SSCI indexed journals and an H-index citation rate of 45.
Most of his publications appeared in leading international journals, such as
Transportation Research, Transportation Science and Operations Research.
Prof. Yang received a number of national and international awards, including
National Natural Science Award bestowed by the State Council of PR China (2011). He was
appointed as Chang Jiang Chair Professor of the Ministry of Education of PR China. Prof. Yang is
now the Editor-in-Chief of Transportation Research Part B: Methodological, a top journal in the field
of transportation.

Modeling Spatial Effects of Dynamic Pricing in Ride-Sourcing Markets
Yafeng Yin
Department of Civil and Coastal Engineering, University of Florida, USA,
Abstract: In this talk, we investigate how dynamic pricing redistributes labor supply and impacts
search frictions in the ride-sourcing market. We first propose a spatial model that features the
equilibration of demand and supply in a ride-sourcing market, while explicitly capturing the
advanced matching technology that a ride-sourcing platform adopts to match customers with
drivers. We then explore the equilibrium outcomes under the revenue-maximizing dynamic pricing
and present a simple regulation scheme if market power is a concern. Based on a public dataset
made available by Didi Chuxing, we discuss the key modeling results in the spatial equilibrium.
Dr. Yafeng Yin is a Professor at Department of Civil and Environmental
Engineering, University of Michigan, Ann Arbor. He works in the area of
transportation systems analysis and modeling, and has published nearly 100
refereed papers in leading academic journals. One of his papers won the 2016


Stella Dafermos Best Paper Award and the Ryuichi Kitamura Paper Award from Transportation
Research Board of the National Academies of Sciences, Engineering, and Medicine. Dr. Yin is the
Editor-in-Chief of Transportation Research Part C: Emerging Technologies, and Associate Editor of

Transportation Science. He also serves on the editorial boards for another four transportation
journals such as Transportation Research Part B: Methodological. He is a member of Transportation
Network Modeling Committee, Transportation Economics Committee, and International
Cooperation Committee of Transportation Research Board. He is also the Immediate Past President
of Chinese Overseas Transportation Association (COTA) whose members are Chinese professionals
and students working or studying overseas in the transportation or related fields. Dr. Yin received
his Ph.D. from the University of Tokyo, Japan in 2002, his master’s and bachelor’s degrees from
Tsinghua University, Beijing, China in 1996 and 1994 respectively. Prior to his current appointment
at the University of Michigan, he was a faculty member at University of Florida between 2005 and
2016. He worked as a postdoctoral researcher and then assistant research engineer at University of
California at Berkeley between 2002 and 2005. Between 1996 and 1999, he was a lecturer at
Tsinghua University.

Integrated Travel Behavior and Dynamic Traffic Models for Real-Time
Applications on Large-Scale Networks
Lei Zhang
Department of Civil and Environmental Engineering, University of Maryland –
College Park,
Abstract: Travel and traffic models are the primary tools for transportation policy, planning and
operations decision-making. Driven by application needs (e.g., integrated and active corridor traffic
management, travel demand management) and new technologies (e.g., big data, cloud computing
and storage, mobility-as-a-service), these models have become increasingly microscopic, dynamic,
and integrated. The research goal is to develop integrated travel behavior and dynamic traffic
models that are capable of capturing both individual travel choices (e.g., mode, scheduling, route)
and network traffic conditions, and to enable model applications for real-time decision support at
the metropolitan and even larger scales. Dr. Zhang will highlight several significant research
innovations in this problem domain, based on recently funded NSF, U.S. DOT and U.S. DOE
projects led by him with a team of multi-university collaborators, research scientists, and graduate

students: (1) A descriptive Behavior User Equilibrium (BUE) theory emphasizing how individual
travelers actually make decisions, which leads to behaviorally realistic and computationally efficient
model convergence; (2) Agent-based modeling and simulation methods in transportation that take
full advantage of behavioral economics insights, traditional/emerging big data sources, and
advanced computing techniques; and (3) The ability to not only simulate travelers and vehicles at
the person level, but also influence individual behavior and choices for system optimum through
personalized monetary and non-monetary incentives. Successful real-world applications of this
integrated model system will be presented, including incident response, integrated travel demand
and traffic management, and/or transportation energy use optimization.
Dr. Lei Zhang (Email: , Web: ) is the
Herbert Rabin Distinguished Professor of Engineering and Director of the U.S.
DOT National Transportation Center () at the University
of Maryland. Dr. Zhang has published more than 250 peer-reviewed journal and
conference papers on topics including large-scale transportation systems
modeling and simulation, travel behavior, transportation economics and policy,
and innovative mobility and sustainability solutions. He has received external
funding support from NSF, US DOT, US DOE, FHWA, AASHTO, SHRP2,
NCHRP, and other federal and state agencies and private foundations, exceeding $34 million. Dr.
Zhang has served in leadership roles at many conferences, expert panels, editorial boards and
professional societies. Dr. Zhang is a recipient of the National Science Foundation CAREER Award,
the TRB Fred Burggraf Award, U.S. Department of State APEC Science Prize, and many
international best paper awards.

Enabling transportation system intelligence: Hierarchical estimation of traveler behavior and
dynamic traffic network state using a computational graph approach
Xuesong Zhou
School of Sustainable Engineering and the Built Environment, Arizona State
University
Abstract: One of recent challenges for enhancing transportation system intelligence is the lack of a
theoretically consistent framework to estimate different layers of traveler activities and dynamic

traffic network states, as the traffic congestion results from both complex spatial flow dynamics and
the activity decisions of the interactive population groups. By introducing a computational graph
modeling framework, this research proposed a hierarchical simplified representation of travel
activity models and dynamic path flow assignment for real-time region-wide activity pattern and
traffic state estimation applications. The disaggregated traveler and aggregated sensor data sources
are mapped to different layers of transportation system abstraction. Specifically, a feed forward
passing step on the hierarchical network sequentially implements trip generation prediction, tourbased activities modeling, trip spatial/temporal distribution estimation, and time-dependent traffic
assignment, respectively. A back propagation step as part of the generic dynamic programming-


based estimation framework is then applied to approximate and aggregate different layers of partial
first-order gradients.
Prof. Xuesong Zhou is an Associate Professor of Transportation Systems in the
School of Sustainable Engineering and the Built Environment at Arizona State
University (ASU). Recently, he has been invited to serve as the Chief Scientist
for Beijing Municipal Commission of Transportation. Dr. Zhou’s research work
focuses on dynamic traffic assignment, traffic estimation and prediction, largescale routing and rail scheduling. He has been assisting the Federal Highway
Administration (FHWA) to develop and provide technical support for largescale simulation-based dynamic traffic assignment systems, for the past 10
years. He serves as an Associate Editor for Transportation Research Part C:
Emerging Technologies. He is the Principle Developer of open-source package DTALite, lightweight open-source traffic assignment/simulation engine and NEXTA, a traffic data visualization
platform, which have been used by a number of transportation planning agencies, with more than
3000 downloads from the Google Code website. Dr. Zhou is the Co-Chair of the IEEE ITS Society
Technical Committee on Traffic and Travel Management, a formal Chair for Institute for Operations
Research and the Management Sciences, Railway Applications Section (RAS). He also serves as the
Chair for the Network Models in Practice Subcommittee in TRB Committee on Transportation
Network Modeling (ADB30).

Coordinating assignment and routing decisions in transit vehicle schedules: A variablesplitting Lagrangian decomposition approach for solution symmetry breaking
Huimin Niu
School of Traffic and Transportation, Lanzhou Jiaotong University

Abstract: This study focuses on how to coordinate a critical set of assignment and routing decisions
in a class of multiple-depot transit vehicle scheduling problems. The assignment decision aims to
assign a set of transit vehicles from their current locations to trip tasks in a given timetable, where
the routing decision needs to route different vehicles to perform the assigned tasks and return to the
depot or designated layover locations. We first develop a number of network reduction techniques
through a space-time-connection graph to reduce the model representation complexity. When
applying the existing branch-and-bound and task-oriented Lagrangian relaxation framework for real
world instances, a thorny issue is that different but indistinguishable vehicles from the same depot
or similar locations could commit to the same set of tasks. This inherent solution symmetry property
causes extremely difficult computational barriers for effectively eliminating identical solutions, and
the lower bound solutions could contain many infeasible vehicle-to-task matches, leading to large
optimality gaps. To systematically coordinate the assignment and routing decisions and further


dynamically break symmetry during the solution search process, we adopt a variable-splitting
approach to introduce task-specific and vehicle-distinguishable Lagrangian multipliers and then
propose a sequential assignment process in order to enhance the solution quality for the augmented
models with tight formulations. We conduct the numerical experiments to demonstrate the
computational efficiency and solution quality of the proposed approach in both off-line planning
and real-time vehicle rescheduling applications.
Prof. Huimin NIU is currently serving as the Dean of School of Traffic and
Transportation, Lanzhou Jiaotong University. Prof. NIU received his Ph.D. in
Transportation Planning and Management from Beijing Jiaotong University in
1999. From 2000 April to 2000 October and from 2001 October to 2002 April,
Prof. NIU served as a research assistant in the Hong Kong Polytechnic
University. He has also been a visiting professor in the Centre for Research on
Transportation at Montreal University of Canada between 2004 July and 2005
July. Prof. NIU has published more than 60 research papers in professional
journals, which include Transportation Research Part B, Part C, IEEE Transactions on Intelligent
Transportation Systems, and Science in China. He is the leader of the National Excellent Course of

Railway Transportation Organization and the first accomplisher of the second prize of National
Teaching Achievement Award. His research interests include modeling of rail systems,
transportation network analysis, and intelligent transportation systems.

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