Article
Transportation
Teppei Kato, Kenetsu Uchida, Ryuichi Tani, Kazunori Munehiro
Summary: Recently, user equilibrium models with uncertainty have been proposed for stochastic travel time in road networks. This study develops a method to estimate stochastic link capacity by considering the uncertainty of driver's behavior. It is postulated that the stochastic link capacity follows a lognormal distribution, which suits real traffic observation characteristics. The proposed methods contribute to the estimation of stochastic link capacity and the link performance function in user equilibrium models. A numerical calculation using real traffic observations in Sapporo, Japan validates the proposed method.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(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
Energy & Fuels
Ke Liu, Yanli Liu
Summary: As the number of electric vehicles (EVs) connected to the grid increases, there is a need to accurately predict the spatial-temporal distribution of EV charging load synchronized with traffic states. This paper proposes a novel method based on stochastic user equilibrium (SUE) and trip chain to achieve this prediction. The proposed method effectively reflects the charging and trip characteristics of different EV types while ensuring reachability, and accurately predicts overall and individual EV travel costs and total charging loads in detailed synchronous traffic states. The method shows stable convergence and remarkable prediction effectiveness, even during peak load hours and high EV penetration scenarios.
Article
Transportation Science & Technology
Tanapon Lilasathapornkit, Meead Saberi
Summary: The study develops a simulation-based dynamic pedestrian traffic assignment model for walking networks with bidirectional links. The model accurately captures the characteristics of bidirectional pedestrian streams and successfully replicates shockwave formation and propagation in real-world networks.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
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
Economics
Tongfei Li, Min Xu, Huijun Sun, Jie Xiong, Xueping Dou
Summary: In this study, a generalized stochastic user equilibrium model is developed to analyze travelers' mode and route choice behavior in urban traffic systems with ridesharing programs. The proposed model considers travelers' heterogeneity in terms of car ownership and value of time, and their limited perceived information based on the stochastic user equilibrium principle. The decision-making problem of ridesharing compensation is also addressed, aiming to minimize total travel cost and vehicular air pollution emissions. A bi-objective optimization model and two single-objective optimization models are proposed, and a genetic algorithm is used to generate Pareto-optimal solutions. Numerical experiments demonstrate the effectiveness of the proposed model and algorithm in mitigating traffic congestion and pollution emissions.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Engineering, Civil
Mehdi Dezfuli Nezhad, Reza Raoufi, Ahmad Dalvand
Summary: Previous approaches to assessing security risk and prioritising bridges have neglected the network-level consequences of a bridge failure. This paper presents a bridge importance measurement index, alpha(e), which considers unique characteristics, location, and network topology to prioritise bridges.
BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING
(2022)
Article
Agronomy
Kexin Li, Jianxu Liu, Yuting Xue, Sanzidur Rahman, Songsak Sriboonchitta
Summary: This study compares the traditional Stochastic Frontier Model (SFM) with a copula-based SFM with heterogeneity through simulation experiments and empirical applications. The copula-based SFM is shown to be more accurate and robust in parameter estimation and efficiency scores, as well as able to identify efficiency-driving factors more comprehensively.
Article
Transportation Science & Technology
Shuang Yang, Jianjun Wu, Huijun Sun, Yunchao Qu, David Z. W. Wang
Summary: This study proposes an integrated framework combining pricing and relocation strategies to help carsharing companies determine their optimal operational strategies. A game-theoretical multi-leader-follower model is used to maximize profit and minimize disutility.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
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
Computer Science, Software Engineering
Jie Ma, Qianlian Wang
Summary: TransRNM is a modeling tool that predicts the flow and demand pattern of urban transportation networks with ridesharing services. It allows users to define ridesharing networks with multiple services, network structures, travel costs, choice behaviors, and demand elasticity degrees. This document provides a detailed description of the components, input information, and output results of TransRNM. It also includes two illustrative examples to demonstrate its usage.
Article
Transportation
Bing Liu, Yuxiong Ji, Oded Cats
Summary: Public transport agencies are increasingly interested in integrating ride-hailing services with public transport to improve overall mobility. To understand the traffic flow distribution in such an integrated system, a stochastic user equilibrium model for multimodal transport systems is proposed. The model investigates travel costs using a multimodal graph representation to capture the relationship between different travel modes in the integrated system. The model is applied to a toy case and a real-world case, comparing a ride-hailing subsidy strategy with a benchmark to demonstrate travelers' route and mode shifts. The findings offer insights on subsidizing ride-hailing services and provide valuable knowledge for planning and designing integrated transport systems.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Transportation Science & Technology
Ning Huan, Enjian Yao, Jinmeng Zhang
Summary: This study introduces an MPEC approach to optimize demand-responsive passenger flow control strategies, highlighting the importance of balancing operational efficiency with service fairness. Through empirical cases in Guangzhou and Beijing metros, it is shown that incorporating service fairness considerations in passenger flow control strategies can improve load balancing and peak cutting performance.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Civil
Jingchun Sun, Fei Deng, Haoran Fu, Yinfeng Xu
Summary: This research explores the existence characteristics of perception-based stochastic user equilibrium (P-SUE) and proposes a model incorporating factors such as travelers' attitude, grouping, and static perception. By embedding a learning process, the evolutionary dynamics of the equilibrium are further explored. The study finds that learning induces perturbation and a higher learning rate significantly shortens the convergence process.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation
Z. Y. Lin, P. Zhang, H. L. Hang
Summary: This study develops a dynamic route choice model for pedestrian with mixed crowds. The results show that predictive pedestrians can improve overall evacuation efficiency in low-density situations.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Transportation
Rong Zhao, Xiangdong Xu, Anthony Chen
Summary: This paper introduces a more efficient and time-saving counting method to calculate the number of efficient paths between each origin-destination pair in a transportation network, and provides numerical examples to demonstrate the validity and efficiency of the proposed method.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Transportation
Guangchao Wang, Kebo Tong, Anthony Chen, Hang Qi, Xiangdong Xu, Shoufeng Ma
Summary: This study investigates the impacts of the least perceived travel cost on the stochastic user equilibrium problem. The Weibit SUE models with a positive location parameter reduce perception variances route-specifically and resolve the scale insensitivity issue. Numerical results confirm the analytical results and demonstrate the efficiency and robustness of the proposed solution algorithm.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Transportation
Muqing Du, Xiaowei Jiang, Anthony Chen
Summary: This article aims to develop a new criticality indicator based on the network capacity concept of a multimodal transportation network. The model formulation and solution algorithm are developed for this problem, and a sensitivity-based approximation approach is also developed to improve efficiency. Numerical experiments show that the proposed network capacity-based indicator is more useful than the efficiency-based indicator when the link capacity limit is violated in the degraded network.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2022)
Article
Transportation
Kai Qu, Xiangdong Xu, Anthony Chen
Summary: The paper proposes a new method for optimal static congestion pricing design using cumulative network performance (CNP) as the optimization objective function, explicitly considering fluctuations in network performance over the toll planning horizon. A day-to-day dynamic model with Weibit-based route flow adjustment is introduced to capture the effect of static congestion pricing on CNP, showing effectiveness and advantages of the toll scheme resulting from the proposed method through numerical experiments.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2022)
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
Ruiya Chen, Xiangdong Xu, Anthony Chen, Xiaoning Zhang
Summary: This paper presents a conservative expected travel time approach, called MCET, for reporting reliable waiting time information in app-based transportation services, addressing the issues of existing information provision forms.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Transportation
Ruiya Chen, Xiangdong Xu, Anthony Chen, Chao Yang
Summary: Travel time variability poses challenges to reporting travel time information. This paper proposes a conservative expected travel time approach to enhance information reliability and simplicity.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2023)
Article
Economics
Yu Gu, Anthony Chen, Xiangdong Xu
Summary: This study proposes an optimization-based approach to rank the importance of link combinations and analyze network vulnerability in extreme and near-extreme cases of disruption. A vulnerability envelope concept is used, which considers the worst and best network performance under multiple-link disruptions. The results demonstrate that the consideration of near-extreme cases yields additional valuable information that is not generated by the traditional vulnerability analysis.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Transportation Science & Technology
Yu Gu, Anthony Chen
Summary: This study proposes an advanced equilibrium mode choice model to analyze the mode choice behavior of emerging customized bus (CB) services. The model considers the unique characteristics of CB services, including seat reservation and loyalty scheme. The results demonstrate the importance of considering passenger loyalty and managing mode similarity and heterogeneity when modeling emerging CB services.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Environmental Studies
Zhuowei Wang, Jiangbo Yu, Guoyuan Li, Chengxiang Zhuge, Anthony Chen
Summary: This study investigates the feasibility and policy implications of achieving carbon neutrality in Hong Kong's public transportation through a competitive bus-market mechanism. A dynamic bus-market evolution model is established using the system dynamics method, which incorporates a generalized Lotka-Volterra model and discrete choice model. The results suggest that relying on business-as-usual policies and market evolution may not be sufficient to achieve the desired level of zero-emission buses, and long-term subsidies for hydrogen buses and support for hydrogen stations are effective measures to promote the hydrogen bus market.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Economics
Zhiao Ma, Xin Yang, Jianjun Wu, Anthony Chen, Yun Wei, Ziyou Gao
Summary: This paper focuses on the resilience of urban rail transit (URT) systems in the event of breakdowns or deliberate damages. A multi-dimensional evaluation model is proposed to measure the resilience by analyzing multiple sources of data. A case study based on real-world data from the Beijing Subway network is presented to demonstrate the effectiveness and applicability of the model. The findings can help identify critical stations, measure emergency recovery abilities, and provide necessary information support for reducing the risk of URT incidents.
Article
Geography
Ho-Yin Chan, Yingying Xu, Anthony Chen, Xintao Liu, Kason Ka Ching Cheung
Summary: This article introduces a proof-of-concept designer-in-the-loop schematic map drawing tool, which combines manual and automated approaches to provide technical interactivity between the user and the computer. Compared to existing methods, the proposed approach is more compatible with the framework of effective map design from psychological and aesthetic perspectives, and offers a range of options based on user preferences.
TRANSACTIONS IN GIS
(2023)
Article
Environmental Studies
Shiqi Wang, Yuze Li, Anthony Chen, Chengxiang Zhuge
Summary: This paper develops a data-driven micro-simulation optimization model for deploying charging infrastructure for a large-scale electric bus network. The model considers both traditional charging posts and wireless charging lanes. The results show that deploying both charging posts and WCLs leads to higher levels of service, energy savings, and reduced emissions compared to deploying only charging posts, although the total costs are slightly higher. Sensitivity analysis confirms that parameters associated with electric buses and charging facilities significantly influence the model outputs.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Economics
Zhandong Xu, Anthony Chen, Xiaobo Liu
Summary: This paper presents a continuous time surplus maximization bi-objective user equilibrium (C-TSmaxBUE) model, in which the users' variability toward the time and toll trade-off in a tolled road network is explicitly considered. The model assigns different users with different ratios of the time saved per unit of money (RTSMs), and infinite indifference curves are generated by considering continuously distributed RTSMs in the population. A path-based single-boundary adjustment (SBA) algorithm is developed to solve the problem, which adjusts RTSM boundaries and path flows simultaneously. Numerical results demonstrate the equilibrium flow pattern and the efficiency of the SBA algorithm in obtaining high-quality equilibrium solutions.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Economics
Umer Mansoor, Arshad Jamal, Junbiao Su, N. N. Sze, Anthony Chen
Summary: Motorcycle crashes cause a significant number of fatalities and severe injuries worldwide, especially in developing countries. Machine learning methods have been found to provide better prediction performance, but with weaker interpretability. This study aims to compare the consistency of risk factors identified by statistical models and machine learning methods in analyzing motorcycle crash severity.
