Article
Management
Guoyuan Li, Anthony Chen
Summary: This paper proposes a strategy-based transit stochastic user equilibrium (SUE) model that considers capacity and number-of-transfers constraints in an urban congested transit network. The model uses a route-section-based method for network representation and assumes passengers' route choice behavior obeys the logit model. The transit line capacity and maximum number-of-transfers constraints are considered, and the problem is formulated as a variational inequality (VI) problem. A transit path-set generation procedure is proposed, and the asymmetric cost function is solved using the diagonalization method.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Transportation
Ahmed Abdelghany, Khaled Abdelghany, Farshid Azadian
Summary: This paper presents a comprehensive modeling framework aimed at addressing the capacity allocation problem for large-scale airlines. The framework establishes optimal flight capacity allocation per fleet type to maximize the overall profitability of the airline's daily schedule. A solution methodology employing a heuristic-based approach is developed, integrating a randomized search and a pseudo-gradient search procedure to evaluate capacity adequacy. Experimental results demonstrate the capability of the framework in determining capacity allocation strategies that significantly improve profitability.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2023)
Article
Economics
Guangming Xu, Yihan Liu, Yihan Gao, Wei Liu
Summary: This paper examines the integrated optimization of train stopping plan and seat allocation scheme in railway systems, and proposes a mathematical model and solution approach using mixed-integer linear programming to maximize the system net benefit.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Transportation Science & Technology
Qiumin Liu, Rui Jiang, Wei Liu, Ziyou Gao
Summary: This study extends existing stochastic bottleneck model studies by considering a more general distribution of the bottleneck capacity. The results show that the mean travel cost and the mean total travel time may vary with the capacity degradation probability and level. It is also found that the mixed capacity distribution outperforms the binary capacity distribution in evaluating the departure/arrival pattern and mean travel cost.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Civil
Shin-Hyung Cho, Seung-Young Kho
Summary: The study aims to develop a route choice model incorporating travellers' heterogeneity based on a stochastic route choice set. The model is evaluated using empirical data from RFID device and establishes a K-reliable shortest path model considering heterogeneous behaviour. Different behaviours concerning the chosen routes are analysed by comparing the magnitude of different coefficients, revealing the travellers' heterogeneity in route choice behaviour.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Economics
Xiaolei Wang, Jun Wang, Lei Guo, Wei Liu, Xiaoning Zhang
Summary: A new modeling approach for ridesharing user equilibrium (RUE) was proposed, which transforms the problem into a convex programming problem by redefining feasible driver trajectories and ridesharing market equilibrium conditions. The algorithm effectively avoids path enumeration and can be implemented on large networks, with theoretical analysis and numerical demonstrations on the impact of problem size on computational efficiency.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Engineering, Civil
Markus Friedrich, Matthias Schmaus, Jonas Sauer, Tobias Zundorf
Summary: This paper investigates existing departure time models for a schedule-based transit assignment and their parametrization. It suggests using 1-minute intervals and introduces the concept of adaptation time. The study found that longer time intervals led to arbitrary run volumes, indicating the need for a nonlinear evaluation function to better describe passenger behavior.
TRANSPORTATION RESEARCH RECORD
(2021)
Article
Operations Research & Management Science
Yu Jiang, Thomas Kjaer Rasmussen, Otto Anker Nielsen
Summary: This study proposes an integrated transit frequency and schedule design problem (ITFSDP) to minimize operation costs and total passenger-perceived generalized travel cost. The study uses bounded stochastic user equilibrium (BSUE) to describe passengers' route choice behavior and represents in-vehicle congestion effect using a set of constraints. The model and solution method are examined through experiments, highlighting the impact of well-synchronized transit services on network performance.
TRANSPORTATION SCIENCE
(2022)
Article
Economics
Hemant Suman, Homero Larrain, Juan Carlos Munoz
Summary: The study aims to measure the error induced by simplification and understand how it misrepresents passenger flows and bus occupation rates. By optimizing a set of test scenarios using a naive approach and obtaining benchmark passenger assignment, the comparison reveals potential unrealistic aspects of the naive approach in network design. This highlights the importance of verifying the results with a passenger assignment model before implementation.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Transportation Science & Technology
Guangming Xu, Yini Xiao, Yangyang Song, Zhengyang Li, Anthony Chen
Summary: This paper proposes an equilibrium assignment method that considers the reliability and unreliability of travel time variability to capture passengers' travel path choices. The method models passengers' choices based on their risk-aversion attitudes towards train delays, calculates the mean-excess travel cost, and incorporates advanced ticket booking cost and capacity constraints.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Electrical & Electronic
Chao Sun, Haodong Jing, Taolue Chen, Menghui Li, Peng Zhang
Summary: In this paper, a traffic assignment algorithm called the route-based incremental equilibrium assignment (IEA) method is proposed to achieve a less complex methodology and implementation than current algorithms. The IEA method iteratively performs incremental assignment and new origin-destination (O-D) demand extraction. It is further extended to solve the stochastic user equilibrium (SUE) and reliability-based user equilibrium (RUE) models, demonstrating its effectiveness.
IET INTELLIGENT TRANSPORT SYSTEMS
(2023)
Article
Economics
Zhihui Huang, Jiancheng Long, W. Y. Szeto, Haoxiang Liu
Summary: This paper proposes a park-and-ride-sharing (P&RS) system to manage morning peak hour congestion in a monocentric linear city. It analyzes the equilibrium ride-sharing matching patterns and traffic flow patterns, as well as designs parking charge schemes to minimize total system cost (TSC) under government management of all parking lots. Numerical examples are provided to illustrate the effectiveness of the proposed bottleneck model with P&RS and the designed parking charge schemes.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Green & Sustainable Science & Technology
Yicheng Ren, Jing Zhao, Xizhao Zhou
Summary: The study proposes a new schedule optimization model for BRT, aiming to minimize travel time and optimize bus stop schedules and signal control at intersections simultaneously, showing promising effectiveness in alleviating urban traffic congestion through extensive sensitivity analysis and case studies.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2021)
Article
Economics
Xiang Zhang, Wei Liu, Michael Levin, S. Travis Waller
Summary: This study investigates the morning commuting and parking patterns of autonomous vehicles (AVs) under different spatial road capacity allocation schemes. The study analyzes equilibrium departure/arrival and parking patterns for AVs subject to spatial road capacity allocation. The study also examines optimal capacity allocation strategies under both user equilibrium and system optimum AV traffic patterns to minimize the total system travel cost.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Computer Science, Interdisciplinary Applications
Xiang Zhang, Edward Robson, S. Travis Waller
Summary: This study investigates the potential positive or negative societal impacts of AVs' expected travel and parking behavior, developing an integrated transport and economic model and conducting a case study in Sydney to demonstrate the significant losses of social welfare that can result from AV parking patterns.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
Article
Construction & Building Technology
Yong Wen, Yuhong Wang, Kecheng Zhao, Agachai Sumalee
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2017)
Article
Economics
R. X. Zhong, C. Chen, Y. P. Huang, A. Sumalee, W. H. K. Lam, D. B. Xu
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2018)
Article
Transportation
Hu Shao, William H. K. Lam, Agachai Sumalee, Anthony Chen
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2018)
Article
Transportation
Piyanit Wepulanon, Agachai Sumalee, William H. K. Lam
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2018)
Article
Economics
R. X. Zhong, Y. P. Huang, C. Chen, W. H. K. Lam, D. B. Xu, A. Sumalee
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2018)
Article
Economics
Treerapot Siripirote, Agachai Sumalee, H. W. Ho
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Article
Transportation
Cheng Zhang, H. W. Ho, William H. K. Lam, Wei Ma, S. C. Wong, Andy H. F. Chow
Summary: This paper proposes a new method for estimating lane-based travel time distributions by vehicle type using low-resolution vehicle video images captured by conventional traffic surveillance cameras. The method utilizes deep learning and graph matching techniques, and performs well in vehicle type-specific traffic management schemes.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Cheng Zhang, Bi Yu Chen, William H. K. Lam, H. W. Ho, Xiaomeng Shi, Xiaoguang Yang, Wei Ma, S. C. Wong, Andy H. F. Chow
Summary: The study proposes a new vehicle re-identification method to estimate lane-level travel time distributions by considering lane-level traffic conditions, vehicles' lane changing behaviors, and visual features. A comprehensive case study in Hong Kong demonstrates that the proposed method outperforms existing methods and provides accurate lane-level travel time distribution information on congested urban roads.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Operations Research & Management Science
Liangze Yang, S. C. Wong, H. W. Ho, Mengping Zhang, Chi-Wang Shu
Summary: In this study, a predictive continuum dynamic user-optimal model is proposed to integrate the choices of housing location, destination, route, and departure time. By considering factors such as air quality, housing rent, and travel costs, a logit-type demand distribution function is used to model a traveler's choice of housing location. The proposed algorithms, including the LaxFriedrichs scheme, the fast-sweeping method, the Goldstein-Levitin-Polyak projection algorithm, and self-adaptive successive averages, are effective in solving the formulated problems.
TRANSPORTATION SCIENCE
(2022)
Article
Transportation
Hao Fu, William H. K. Lam, H. W. Ho, Wei Ma
Summary: This study proposes a method to optimize the locations of multi-type traffic sensors in order to improve the accuracy of link travel time estimation. By integrating data from different types of sensors, link travel times in an entire road network can be better estimated. The method takes into account constraints such as total financial budget, measurement errors, and cost ratio.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Liangze Yang, S. C. Wong, H. W. Ho, Chi-Wang Shu, Mengping Zhang
Summary: In recent decades, vehicle emissions have become a growing concern for urban environments, and it has been acknowledged that these emissions influence people's housing location choices. This study addresses the housing allocation problem in a city with a central business district (CBD) by incorporating vehicle emissions into a bilevel optimization model. The lower level subprogram examines the city's traffic flow using a predictive dynamic continuum user-optimal (PDUO-C) model with combined departure time and route choices under a fixed housing allocation. The upper level subprogram defines and minimizes the health cost to determine the optimal allocation of additional housing units.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Proceedings Paper
Transportation
Nattaphon Chankaew, Agachai Sumalee, Treerapot Siripirote, Thanunchai Threepak, H. W. Ho, William H. K. Lam
INTERNATIONAL SYMPOSIUM OF TRANSPORT SIMULATION (ISTS'18) AND THE INTERNATIONAL WORKSHOP ON TRAFFIC DATA COLLECTION AND ITS STANDARDIZATION (IWTDCS'18) - EMERGING TRANSPORT TECHNOLOGIES FOR NEXT GENERATION MOBILITY
(2018)
Correction
Green & Sustainable Science & Technology
Jun Yin, S. C. Wong, N. N. Sze, H. W. Ho
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2017)
Review
Transportation
Agachai Sumalee, Hung Wai Ho
Article
Economics
Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2024)