Article
Computer Science, Artificial Intelligence
Wenlong Zhu, Junting Zhang, Shunqiang Ye, Wanli Xiang
Summary: This paper investigates Braess Paradox under the bi-objective user equilibrium, introducing the definition and occurrence conditions of the paradox. Analytical properties of the bi-objective user equilibrium solutions and the conditions for the occurrence of Braess Paradox are explored on a classical Braess network. The study proves that the occurrence conditions of Braess Paradox are dependent upon link performance parameters and travel demand.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Review
Economics
Jia Yao, Ziyi Cheng, Anthony Chen
Summary: This paper reviews the studies on traffic paradoxes published from 1968 to 2022 using a bibliometric analysis approach. The results help researchers, planners, and engineers in the transportation field to systematically and comprehensively understand the theme of traffic paradoxes.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Physics, Multidisciplinary
Stefan Bittihn, Andreas Schadschneider
Summary: The study investigates whether drivers can change the classic Braess' paradox situation through traffic information available in modern traffic networks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Mauro Passacantando, Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
Summary: This study introduces a new framework to investigate Braess' paradox, by utilizing cooperative games with transferable utility to evaluate the contribution of network resources to overall network performance.
Article
Green & Sustainable Science & Technology
Le Zhang, Lijing Lyu, Shanshui Zheng, Li Ding, Lang Xu
Summary: Route game is an effective method to alleviate traffic congestion, but traditional methods based on potential functions are not suitable for real-time traffic. This paper proposes a matched Q-learning algorithm to generate approximate Nash equilibrium for the classic route game in real-time traffic.
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
Physics, Multidisciplinary
Aihu Wang, Yuanhua Tang, Yasir Tariq Mohmand, Pei Xu
Summary: This research aims to detect the effects of closing and expanding paradox links in transportation and find effective measures to avoid Braess Paradox. The results show that higher capacity worsens Braess Paradox for monotonic links, even if the link capacity is increased infinitely. However, for non-monotonic links, adjusting the link capacity can avoid Braess Paradox. Expanding road infrastructure does not necessarily lead to a significant improvement in travel efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Industrial
Xi Zhang, Haicheng Tu, Jianbo Guo, Shicong Ma, Zhen Li, Yongxiang Xia, Chi Kong Tse
Summary: This paper studies how to enhance power grid resilience and achieve quick recovery after extreme events by adjusting the operating modes of the grid and reconfiguring its components. A double-loop optimization strategy is proposed, utilizing an interior point method and a genetic algorithm to find the optimal topology for coordinating available resources most effectively.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(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
Computer Science, Interdisciplinary Applications
Xiang Zhang, Steven Travis Waller, Dung-Ying Lin
Summary: This study is the first in the literature to examine the Braess paradox considering parking behavior in the autonomous vehicle (AV) environment and model the network design problem for the autonomous transportation system (NDP-ATS). It shows the existence of two distinct Braess paradoxes in AV traffic networks and develops a bi-level programming model to avoid the deterioration caused by these paradoxes. The results highlight the efficacy of the modeling framework for infrastructure development and policy assessment for AV traffic.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Mathematics
Wei Huang, Yang Hu, Xuanyu Zhang
Summary: Traffic signal control is an effective way to alleviate traffic congestion. However, the mismatch between modeled and actual traffic flow patterns due to the inability to accurately model travelers' route choice responses often leads to suboptimal control performance and unexpected congestion. This study proposes an anticipatory traffic control method that addresses this mismatch by introducing a metamodel and data-driven learning techniques to correct model bias and improve control performance. Additionally, a joint traffic model parameter estimation method is developed to further enhance control performance.
Article
Chemistry, Multidisciplinary
Xianlong Ge, Zuofa Yin, Yuanqiu Zou, Bo Wang
Summary: With the improvement of living standards, the demand for vehicles during weekends and holidays has increased rapidly, resulting in negative impacts on the transport network such as congestion and carbon emissions. This study proposes a hybrid vehicle equilibrium allocation model considering energy replenishment demand, aiming to minimize total time and energy consumption costs. The model utilizes advanced algorithms to solve traffic allocation problems and predicts the negative effects of the urban energy network during holidays. The results show the effectiveness of the proposed method and provide valuable insights for traffic managers.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Industrial
Muhammad Hasan Ashraf, Yuwen Chen, Mehmet G. Yalcin
Summary: Third-party logistics in the U.S. has been declared essential and continues operations amid the pandemic. Demand for e-commerce deliveries has increased due to lockdowns and public preference. Expanding hub capacities may lead to the Braess Paradox. Different layouts are impacted differently, and the study provides insights for improving hub performances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Engineering, Civil
Yixia Wang, Shu Lin, Yibing Wang, Bart De Schutter, Jungang Xu
Summary: This study focuses on the problem of mixed platoons consisting of both automated vehicles and manual vehicles. Models are established for the platoons and H-infinity controllers are designed to achieve formation consensus. The robustness of the control algorithms in alleviating platoon uncertainties is investigated using the H-infinity norm. Conditions are formulated to maintain stability and avoid vehicle collisions based on the penetration rate of manual vehicles. Simulation results demonstrate that the presented controllers can ensure the consensus of mixed platoons under uncertainties.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Julian Barreiro-Gomez
Summary: This study examines the crowd evacuation problem using a stochastic receding-horizon differential game. Two main directions are studied: considering local congestion terms to avoid congestion formation, and considering both local and global congestion terms for crowd aversion during evacuation. The solution to these problems is presented using semi-explicit methods by solving the corresponding Hamilton-Jacobi-Bellman backward Partial Differential Equation (PDE). The study also discusses the evacuation Braess paradox and provides a concrete example. Numerical examples are presented for a case study with multiple rooms and exits, comparing the results of the two stochastic differential-game approaches.