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The strategy of permitting general traffic to use the bus lane for improved utilization while ensuring bus priority has gained increasingly attention, particularly with the support of vehicle-to-everything technology. In this study, we…

Optimization and Control · Mathematics 2024-04-02 Haoran Li , Zhenzhou Yuan , Rui Yue , Guangchuan Yang , Chuang Zhu , Siyuan Chen

An efficient urban bus control system has the potential to significantly reduce travel delays and streamline the allocation of transportation resources, thereby offering enhanced and user-friendly transit services to passengers. However,…

Systems and Control · Electrical Eng. & Systems 2023-08-17 Qinghui Nie , Jishun Ou , Haiyang Zhang , Jiawei Lu , Shen Li , Haotian Shi

Efficient management of traffic corridors is critical for sustaining urban mobility. Exclusive bus lane (EBL) and high occupancy vehicle lane (HOVL) are two prominent strategies for enhancing public transit services and alleviating…

Optimization and Control · Mathematics 2025-10-01 Jiaqing Lu , Dian Sheng , Qianwen Guo , Paul Schonfeld

Bus bunching and unevenly dispersed buses along a bus line lead to a low service level and deteriorate the operational stability of the bus line. Speed adjustment as a control means has been proposed to solve the above problem. But due to…

Optimization and Control · Mathematics 2020-06-17 Shengxue He

This paper proposes a coordinated routing approach that investigates the use of connected and automated vehicles (CAVs) in dedicated bus lanes. The aim is to improve bus schedule adherence while enhancing the travel efficiency of CAVs…

Systems and Control · Electrical Eng. & Systems 2026-03-10 Tanlu Liang , Ting Bai , Andreas A. Malikopoulos

Hybrid traffic laws represent an innovative approach to managing mixed environments of connected autonomous vehicles (CAVs) and human-driven vehicles (HDVs) by introducing separate sets of regulations for each vehicle type. These laws are…

Multiagent Systems · Computer Science 2025-02-19 Tal Kraicer , Jack Haddad , Erez Karaps , Moshe Tennenholtz

We derive time and energy-optimal policies for a Connected Autonomous Vehicle (CAV) to execute lane change maneuvers in mixed traffic, i.e., in the presence of both CAVs and Human Driven Vehicles (HDVs). These policies are also shown to be…

Systems and Control · Electrical Eng. & Systems 2024-06-26 Anni Li , Andres S. Chavez Armijos , Christos G. Cassandras

This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for partially connected and automated traffic environment based on deep reinforcement learning (DRL) algorithm, which enhances the…

Systems and Control · Electrical Eng. & Systems 2020-12-04 Haotian Shi , Yang Zhou , Keshu Wu , Xin Wang , Yangxin Lin , Bin Ran

Connected automated vehicles (CAVs) possess the ability to communicate and coordinate with one another, enabling cooperative platooning that enhances both energy efficiency and traffic flow. However, during the initial stage of CAV…

Artificial Intelligence · Computer Science 2026-01-21 Zeyu Mu , Shangtong Zhang , B. Brian Park

Connected automated vehicles (CAVs) have brought new opportunities to improve traffic throughput and reduce energy consumption. However, the uncertain lane-change behaviors (LCBs) of surrounding vehicles (SVs) as an uncontrollable factor…

Systems and Control · Electrical Eng. & Systems 2022-09-05 Bohui Wang , Rong Su

As a strategy to reduce travel delay and enhance energy efficiency, platooning of connected and autonomous vehicles (CAVs) at non-signalized intersections has become increasingly popular in academia. However, few studies have attempted to…

Machine Learning · Computer Science 2022-06-28 Duowei Li , Jianping Wu , Feng Zhu , Tianyi Chen , Yiik Diew Wong

Deep reinforcement learning has shown promise in various engineering applications, including vehicular traffic control. The non-stationary nature of traffic, especially in the lane-free environment with more degrees of freedom in vehicle…

Robotics · Computer Science 2024-06-24 Mehran Berahman , Majid Rostami-Shahrbabaki , Klaus Bogenberger

In part II, we present a fully distributed nonlinear variable time headway space strategy to ensure the subsequent safe cruising and junction crossing, where the cooperative perception of multiple neighbors stimuli and the cooperative…

Systems and Control · Electrical Eng. & Systems 2022-09-05 Bohui Wang , Rong Su

The paper introduces and evaluates the concept of the dynamic interlining of buses. Dynamic interlining is an operational strategy for routes that have a terminal station at a common hub, that allows a portion of (or all) the fleet to be…

Multiagent Systems · Computer Science 2022-04-22 Seyedmostafa Zahedi , Haris N. Koutsopoulos , Zhenliang Ma

Managed lanes, such as a dedicated lane for connected and automated vehicles (CAVs), can provide not only technological accommodation but also desired market incentives for road users to adopt CAVs in the near future. In this paper, we…

Systems and Control · Electrical Eng. & Systems 2021-02-09 Zijia Zhong , Joyoung Lee , Liuhui Zhao

Connected autonomous vehicles (CAV) technologies are about to be in the market in the near future. This requires transportation facilities ready to operate in a mixed traffic environment where a portion of vehicles are CAVs and the…

Systems and Control · Computer Science 2016-12-02 Omar Hussain , Amir Ghiasi , Xiaopeng Li

Connected and automated vehicles (CAVs) have recently gained prominence in traffic research due to advances in communication technology and autonomous driving. Various longitudinal control strategies for CAVs have been developed to enhance…

Systems and Control · Electrical Eng. & Systems 2024-06-25 Jingyuan Zhou , Longhao Yan , Kaidi Yang

Lane-change maneuvers are commonly executed by drivers to follow a certain routing plan, overtake a slower vehicle, adapt to a merging lane ahead, etc. However, improper lane change behaviors can be a major cause of traffic flow disruptions…

Machine Learning · Computer Science 2020-05-22 Fei Ye , Xuxin Cheng , Pin Wang , Ching-Yao Chan , Jiucai Zhang

Bus timetable optimization is a key issue to reduce operational cost of bus companies and improve the service quality. Existing methods use exact or heuristic algorithms to optimize the timetable in an offline manner. In practice, the…

Artificial Intelligence · Computer Science 2021-07-16 Guanqun Ai , Xingquan Zuo , Gang chen , Binglin Wu

In this paper, we investigate the coordination of vehicle maneuvers in mixed-traffic corridors where connected and automated vehicles, human-driven vehicles, and buses interact under dedicated bus lane operations. We develop a segment-based…

Systems and Control · Electrical Eng. & Systems 2026-03-03 Tanlu Liang , Ting Bai , Andreas A. Malikopoulos
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