Article
Environmental Studies
D. Kang, F. Hu, M. W. Levin
Summary: This study examines the impacts of induced AV trips on the transportation network and proposes a solution algorithm. Test results demonstrate that the use of AVs increases average travel time and allows for the repurposing of parking spaces.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Kai Zhang, Honggang Zhang, Qixiu Cheng, Xinyuan Chen, Zewen Wang, Zhiyuan Liu
Summary: Efficiently solving the traffic assignment problem (TAP) for large-scale transport networks is a critical problem for transportation studies. This paper proposes an efficient distributed multi-computer cluster resource allocation method for the parallel computing of TAP. The proposed algorithm improves the computational efficiency by using parallel computing methods and validates its efficiency and robustness through numerical examples.
COMPUTERS & OPERATIONS RESEARCH
(2023)
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
Behnam Davazdah Emami, Alireza Khani
Summary: In this study, a mixed complementarity traffic assignment model is proposed to analyze the demand of electric vehicles (EVs) and gasoline vehicles on road networks and their impact on traffic congestion. By considering the charging behavior of EVs and the demand under different subsidy policies, this model can accurately predict traffic flow and determine the optimal route. Applying the mixed-user equilibrium algorithm to the networks in Sioux Falls and Chicago, the results demonstrate that this model outperforms existing algorithms in terms of solution time and accuracy.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Economics
Ruqing Huang, Lee D. Han, Zhongxiang Huang
Summary: This paper presents an unconventional equilibrium flow model to analyze travelers' route choice behavior, using path residual capacity as the quantity signal. The proposed model and solution algorithm are shown to be feasible and effective, and can capture route choice behaviors that have not been modeled in previous studies.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Computer Science, Interdisciplinary Applications
Sam O'Neill, Ovidiu Bagdasar, Stuart Berry, Nicolae Popovici, Ramachandran Raja
Summary: This paper presents a method of considering multiple objectives simultaneously in selfish routing of network flow. By manipulating free parameters such as speed limits, the behavior of road users is coerced to reconcile conflicts between multiple objectives. The results show that small parameter adjustments can lead to solutions that Pareto dominate other solutions.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2022)
Article
Economics
Terry L. Friesz, Ke Han, Amir Bagherzadeh
Summary: This paper presents sufficient conditions for convergence of projection and fixed-point algorithms used to compute dynamic user equilibrium with elastic travel demand, without the need for strongly monotone increasing path delay operators. Instead, weakly monotone increasing path delay operators and strongly monotone decreasing inverse demand functions are assumed. The Lipschitz continuity of path delay is a mild regularity condition, allowing for convergence even with nonmonotone delay operators under certain conditions.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Xiaoyang Li, Peng Zhang, Mingmin Guo, Zhiyang Lin, Wenchen Yang
Summary: This paper investigates a road tolling problem where a road user can choose to travel from point A to B either by paying for road 1 or for free using road 2. The choice of route also adheres to the user-equilibrium principle. However, the travel time is formulated as an increasing function of density based on the velocity-density relationship, which represents a significant improvement in the classical traffic assignment problem. Consequently, this paper analyzes in detail the impact of toll rates on the road users, administration department, and the road runner, assuming rigid user demand and maximizing total traffic flow and the runner's benefits from toll fees collection.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(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
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
Operations Research & Management Science
Robert Aboolian, Oded Berman, Majid Karimi
Summary: This paper discusses the design of a facility network with the goal of minimizing overall costs while taking congestion into account. The problem is formulated as a nonlinear mixed-integer program to determine the optimal facility selection and service rate assignment. Consumers aim to maximize utility when choosing facilities, ensuring no incentive to change choices in user-equilibrium. The nonlinear constraints are linearized to efficiently solve a mixed-integer linear problem.
TRANSPORTATION SCIENCE
(2022)
Article
Economics
Zhengyang Li, Guoyuan Li, Zhandong Xu, Anthony Chen
Summary: This paper focuses on the multiclass bi-criteria traffic assignment problem and proposes an alternative formulation without class-specific variables, which greatly reduces the burden on memory storage and computational speed. The alternative formulation utilizes the order information of paths and travelers to differentiate between high value of time and low value of time travelers. A subgradient projection algorithm is developed to solve the nondifferentiable convex objective function of the alternative formulation. The results demonstrate that the alternative formulation achieves the same link flow pattern as the conventional MBTA model with fewer variables.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Transportation Science & Technology
Nam H. Hoang, Manoj Panda, Hai L. Vu, Dong Ngoduy, Hong K. Lo
Summary: This study focuses on a transport network with two types of users, selfish and cooperative. Selfish users aim to minimize their travel time, while cooperative users aim to maximize their class's aggregate throughput or minimize their total travel time. A new framework is proposed to study the route choices and network performance of the two classes of users.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Green & Sustainable Science & Technology
Seungkyu Ryu
Summary: By imposing environmental constraints, changes in travel mode and route selection can be effectively analyzed. The study utilized a CMA model with an environmental constraint model and validated it using small and real networks, showing that imposing a small restriction value is more efficient in mode change and reducing network emissions.
Article
Transportation
Chi Xie, Yanjie Wan, Min Xu, Xiqun Chen, Travis Waller
Summary: This article reinvestigates the mathematical formulations of traffic assignment problems with perception stochasticity and demand elasticity, proposing a pair of dual general formulations. The equilibrium or optimality conditions of these problems can be redefined as a combination of equations, and the solutions of the primal and dual formulations have been proven to be equivalent and unique. Algorithmic analysis and numerical tests suggest that the dual formulation-based algorithm, the Cauchy algorithm, is more suitable for large-scale problems and converges faster than the primal formulation-based Frank-Wolfe algorithm.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(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.
Review
Management
Vinicius N. Motta, Miguel F. Anjos, Michel Gendreau
Summary: This survey presents a review of optimization approaches for the integration of demand response in power systems planning and highlights important future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Philipp Schulze, Armin Scholl, Rico Walter
Summary: This paper proposes an improved branch-and-bound algorithm, R-SALSA, for solving the simple assembly line balancing problem, which performs well in balancing workloads and providing initial solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Roshan Mahes, Michel Mandjes, Marko Boon, Peter Taylor
Summary: This paper discusses appointment scheduling and presents a phase-type-based approach to handle variations in service times. Numerical experiments with dynamic scheduling demonstrate the benefits of rescheduling.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Oleg S. Pianykh, Sebastian Perez, Chengzhao Richard Zhang
Summary: Efficient scheduling is crucial for optimizing resource allocation and system performance. This study focuses on critical utilization and efficient scheduling in discrete scheduling systems, and compares the results with classical queueing theory.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Hamed Jahani, Babak Abbasi, Jiuh-Biing Sheu, Walid Klibi
Summary: Supply chain network design is a large and growing area of research. This study comprehensively surveys and analyzes articles published from 2008 to 2021 to detect and report financial perspectives in SCND models. The study also identifies research gaps and offers future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Patrick Healy, Nicolas Jozefowiez, Pierre Laroche, Franc Marchetti, Sebastien Martin, Zsuzsanna Roka
Summary: The Connected Max-k-Cut Problem is an extension of the well-known Max-Cut Problem, where the objective is to partition a graph into k connected subgraphs by maximizing the cost of inter-partition edges. The researchers propose a new integer linear program and a branch-and-cut algorithm for this problem, and also use graph isomorphism to structure the instances and facilitate their resolution. Extensive computational experiments show that, if k > 2, their approach outperforms existing algorithms in terms of quality.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Victor J. Espana, Juan Aparicio, Xavier Barber, Miriam Esteve
Summary: This paper introduces a new methodology based on the machine learning technique MARS for estimating production functions that satisfy classical production theory axioms. The new approach overcomes the overfitting problem of DEA through generalized cross-validation and demonstrates better performance in reducing mean squared error and bias compared to DEA and C2NLS methods.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Stefano Nasini, Rabia Nessah
Summary: In this paper, the authors investigate the impact of time flexibility in job scheduling, showing that it can significantly affect operators' ability to solve the problem efficiently. They propose a new methodology based on convex quadratic programming approaches that allows for optimal solutions in large-scale instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin
Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu
Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Bjorn Bokelmann, Stefan Lessmann
Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Congzheng Liu, Wenqi Zhu
Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Laszlo Csato
Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Guowei Dou, Tsan-Ming Choi
Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
