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
Thermodynamics
Xingtao Tian, Xiaojie Lin, Wei Zhong, Yi Zhou
Summary: This paper proposes an analytical sensitivity analysis method for natural gas networks, which can analyze coupling characteristics among system state parameters. A case study is conducted to verify the accuracy of the method and discuss factors influencing sensitivity results and methods to adjust coupling characteristics.
Article
Computer Science, Information Systems
Mahmoud Owais, Abdou S. Ahmed
Summary: In this study, two well-known graphical transit assignment models are comprehensively reviewed and formulated in a single mathematical notation framework for the first time, aiming to better understand their inherent differences. These considered models are deficient in their basic assumptions compared to the most used transit assignment models in TNDP, highlighting the need for renewed attention.
Article
Computer Science, Interdisciplinary Applications
Pei Tong, Yadan Yan, Dongwei Wang, Xiaobo Qu
Summary: This study proposed an optimization model for electric transit route network design problem, aiming to maximize travel reliability and control total cost within a certain range. Through case studies, the effectiveness of the proposed model and solution algorithm was demonstrated, showing that the method can improve travel reliability of the transit network with minimal cost increase.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Myeonginn Kang, Seokho Kang
Summary: Quantifying prediction uncertainty in neural networks is crucial and can be achieved by building specialized models or using surrogate measures. This study proposes a surrogate approach that quantifies prediction uncertainty without using training data. The proposed surrogate measures capture sensitivity and are effective in estimating prediction uncertainty in regression networks. The study demonstrates their effectiveness on nine regression datasets. © 2023 Elsevier B.V. All rights reserved.
APPLIED SOFT COMPUTING
(2023)
Article
Transportation Science & Technology
Muqing Du, Dongyue Cun, Anthony Chen, Heqing Tan
Summary: This study develops a weibit-based stochastic transit assignment model that considers passengers' stochastic travel choice strategies. The weibit choice model is adapted using a hyperpath graph network representation to account for the perception variance problem. A GEV network is adopted to depict the correlation among arcs within the hypergraph, and a link-based stochastic network loading approach is proposed for implementation. The model is extended to a stochastic transit equilibrium model, and a fast linesearch scheme is adopted for solving it.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Environmental Sciences
Abhimanyu Sharma, Deepak Swami, Nitin Joshi, Aman Chandel, Jirka Simunek
Summary: This study introduces a conceptual Dual-Permeability Non-Equilibrium (DPNE) model to describe reactive solute transport through a porous medium. The model is validated using experimental data and global sensitivity analysis is performed to identify important parameters for tracer breakthrough curves. The DPNE model outperforms the dual-porosity (MIM) model in describing experimental datasets due to considering detailed sorption and mass transfer dynamics.
WATER RESOURCES RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Qian Tan, Xiangdong Zhou, Wusheng Liu
Summary: The study took the data of regular buses in Shenzhen as an example, established an improved model for public transportation assignment based on interval uncertainty theory, and used the Method of Successive Averages (MSA) algorithm to solve the problem. The error analysis showed that the passenger flow assignment result under interval impedance is better than that under certain impedance.
TEHNICKI VJESNIK-TECHNICAL GAZETTE
(2021)
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, Interdisciplinary Applications
Yushan Liu, Luyi Li, Zeming Chang, Pan Wang
Summary: This paper proposes a Kriging-based analytical technique for estimating multivariate sensitivity indices (MSI). Two types of MSI are studied and analyzed, one based on principal component analysis (MSI-PCA) and the other based on covariance decomposition (MSI-CD). The accuracy and efficiency of the proposed KBA and D-Kriging methods are tested and discussed using four examples.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Engineering, Civil
Lin Zhang, Tao Zhang, Huajiang Ouyang, Tianyun Li, Genghui Xu
Summary: This paper presents a new method for robust assignment of natural frequencies using the receptance method. The method addresses the deviation between achieved and target frequencies, caused by uncertainties in passive structural modifications. The proposed method integrates a deviation expression into the optimization calculation to acquire highly robust modification parameters, without requiring knowledge of the probabilistic distribution of uncertainties.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Computer Science, Artificial Intelligence
Fatma Laidoui, Malika Bessedik, Fatima Benbouzid-Si Tayeb
Summary: This study presents a game modeling approach for the multi-objective frequency assignment problem (FAP) in cellular networks, aiming to improve QoS for end users by considering two conflicting objectives: interference and separation costs. Two types of cooperative games are suggested, each using two players to represent the different objectives. The proposed games achieve a good trade-off between the objectives and the performance of the solutions is evaluated using the hypervolume (HV) and the Nash value, allowing for comparisons with other approaches in multi-objective optimization (MOO) and game theory (GT). The proposed approach is also demonstrated to be effective in solving real-world instances of the problem.
APPLIED SOFT COMPUTING
(2023)
Article
Engineering, Civil
Qian Zhu, Xiaoning Zhu, Pan Shang, Lingyun Meng
Summary: This study focuses on optimizing passenger flow control strategy in a congested urban rail corridor. An analytical formula for calculating passenger waiting time is derived using the quadratic functional approximation and deterministic queueing theory. The problem is formulated as a continuous nonlinear programming model and solved using a Lagrangian relaxation approach. To provide an integrated optimization framework, an extended mixed-integer nonlinear programming model is proposed to jointly optimize the passenger-flow control strategy and train frequency setting. Numerical examples demonstrate the effectiveness of the proposed models in reducing total passenger delay.
JOURNAL OF ADVANCED TRANSPORTATION
(2023)
Article
Green & Sustainable Science & Technology
Guoqiang Sun, Rui Wang, Sheng Chen, Chen Wu, Zhinong Wei, Haixiang Zang
Summary: This study analyzed the impact of renewables penetration on market equilibria and took into account the uncertainty of renewable energy production. Numerical simulations showed that the proposed distributionally robust optimization model outperformed traditional robust optimization models in terms of social welfare.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Alireza Ermagun, Nazanin Tajik, Fatemeh Janatabadi, Hani Mahmassani
Summary: This study measures the uncertainty in vulnerability of 50 metro transit networks in the most populated cities across the globe under benign and malicious attack scenarios. It found that vulnerability and uncertainty in vulnerability are influenced by the size and physics of the network. The topology of metro transit networks with <100 nodes follows one of three forms, while networks with >= 100 nodes are closer to grid and matching pairs. Overall, the study shows that the most vulnerable transit networks experience the maximal uncertainty in vulnerability and have a topology analogous to a single depot.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
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
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
Engineering, Civil
Jiankun Zhou, Muqing Du, Anthony Chen
Summary: This paper proposes an improved network capacity model that takes into account the intermodal transportation in urban multimodal transportation systems. The model considers both mode split and traffic assignment, and uses mathematical methods to efficiently solve the complex problem. Numerical results demonstrate the advantages and features of the proposed model.
TRANSPORTATION RESEARCH RECORD
(2022)
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
Environmental Studies
Yingying Xu, Ho-Yin Chan, Anthony Chen, Xintao Liu
Summary: This article evaluates and visualizes the accessibility and mobility of pedestrian networks around metro station areas in Hong Kong, highlighting significant differences and potential underlying causes.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2022)
Article
Computer Science, Information Systems
Yingying Xu, Ho-Yin Chan, Anthony Chen
Summary: This article introduces an automatic method for drawing concentric circle maps to improve readability and engagement of metro system maps. By using mixed-integer programming, the design criteria are applied to the schematic drawing of metro systems. Experimental results show that this method performs well in different networks.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
Article
Economics
Guoyuan Li, Anthony Chen
Summary: A frequency-based path flow estimator is proposed in this article to estimate the transit passenger origin-destination (OD) matrix in an urban congested transit network. The model considers the effect of congestion and benefits from being formulated as a single-level model with the route-section-based network representation. Multiple transit data sources are incorporated to improve the estimation accuracy.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
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
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.
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)