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Connectivity and automation in vehicles provide the most intriguing opportunity for enabling users to better monitor transportation network conditions and make better operating decisions to improve safety and reduce pollution, energy…

最优化与控制 · 数学 2017-11-01 Liuhui Zhao , Andreas Malikopoulos , Jackeline Rios-Torres

Connected and autonomous vehicles (CAVs) have garnered significant attention due to their extended perception range and enhanced sensing coverage. To address challenges such as blind spots and obstructions, CAVs employ vehicle-to-vehicle…

人工智能 · 计算机科学 2025-04-29 Haonan An , Zhengru Fang , Yuang Zhang , Senkang Hu , Xianhao Chen , Guowen Xu , Yuguang Fang

In this letter, we address the problem of improving the feasible domain of the solution of a decentralized control framework for coordinating connected and automated vehicles (CAVs) at signal-free intersections as the traffic volume…

最优化与控制 · 数学 2024-12-19 Filippos N. Tzortzoglou , Logan E. Beaver , Andreas A. Malikopoulos

We consider a transportation system of heterogeneously connected vehicles, where not all vehicles are able to communicate. Heterogeneous connectivity in transportation systems is coupled to practical constraints such that (i) not all…

系统与控制 · 计算机科学 2016-08-29 Shanyu Zhou , Hulya Seferoglu

Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce energy consumption and travel delays. In this paper, we propose a two-level control architecture for CAVs to optimize (1) the vehicle's speed profile,…

最优化与控制 · 数学 2020-06-01 A M Ishtiaque Mahbub , Andreas A. Malikopoulos

Intersection crossing represents one of the most dangerous sections of the road infrastructure and Connected Vehicles (CVs) can serve as a revolutionary solution to the problem. In this work, we present a novel framework that detects…

Trajectory planning in dense, interactive traffic scenarios presents significant challenges for autonomous vehicles, primarily due to the uncertainty of human driver behavior and the non-convex nature of collision avoidance constraints.…

系统与控制 · 电气工程与系统科学 2025-10-30 Erik Börve , Nikolce Murgovski , Leo Laine

This paper develops an optimal acceleration/speed profile for a single autonomous vehicle crossing multiple signalized intersections without stopping in free flow mode. The design objective is to produce both time and energy efficient…

信号处理 · 电气工程与系统科学 2019-02-01 Xiangyu Meng , Christos G. Cassandras

Intersections pose critical challenges in traffic management, where maintaining operational constraints and ensuring safety are essential for efficient flow. This paper investigates the effect of intervention timing in management strategies…

系统与控制 · 电气工程与系统科学 2024-12-10 Salman Ghori , Ania Adil , Eric Feron

In this paper, we extend a framework that we developed earlier for coordination of connected and automated vehicles (CAVs) at a signal-free intersection by integrating a safety layer using control barrier functions. First, in our motion…

系统与控制 · 电气工程与系统科学 2022-12-16 Behdad Chalaki , Andreas A. Malikopoulos

The paper presents a movement strategy for Connected and Automated Vehicles (CAVs) in a lane-free traffic environment with vehicle nudging by use of an optimal control approach. State-dependent constraints on control inputs are considered…

On-ramp merging areas are deemed to be typical bottlenecks for freeway networks due to the intensive disturbances induced by the frequent merging, weaving, and lane-changing behaviors. The Connected and Autonomous Vehicles (CAVs), benefited…

系统与控制 · 电气工程与系统科学 2022-02-22 Jie Zhu , Ivana Tasic , Xiaobo Qu

Trajectory planning for connected and automated vehicles (CAVs) has the potential to improve operational efficiency and vehicle fuel economy in traffic systems. Despite abundant studies in this research area, most of them only consider…

系统与控制 · 电气工程与系统科学 2021-02-09 Chengyuan Ma , Chunhui Yu , Xiaogunag Yang

We derive optimal control policies for a Connected Automated Vehicle (CAV) and cooperating neighboring CAVs to carry out a lane change maneuver consisting of a longitudinal phase where the CAV properly positions itself relative to the…

系统与控制 · 电气工程与系统科学 2022-04-05 Andres S. Chavez Armijos , Rui Chen , Christos G. Cassandras , Yasir K. Al-Nadawi , Hossein Noukhiz Mahjoub , Hidekazu Araki

Connected automated vehicles (CAV), which incorporate vehicle-to-vehicle (V2V) communication into their motion planning, are expected to provide a wide range of benefits for individual and overall traffic flow. A frequent constraint or…

We address the problem of merging traffic from two roadways consisting of both Connected Autonomous Vehicles (CAVs) and Human Driven Vehicles (HDVs). Guaranteeing safe merging in such mixed traffic settings is challenging due to the…

系统与控制 · 电气工程与系统科学 2023-05-29 Ehsan Sabouni , H. M. Sabbir Ahmad , Christos G. Cassandras , Wenchao Li

Alternative intersection designs (AIDs) can improve the performance of an intersection by not only reducing the number of signal phases but also change the configuration of the conflicting points by re-routing traffic. However the AID…

多智能体系统 · 计算机科学 2019-07-25 Zijia Zhong , Earl E. Lee

We address the problem of optimally controlling Connected and Automated Vehicles (CAVs) arriving from two multi-lane roads and merging at multiple points where the objective is to jointly minimize the travel time and energy consumption of…

系统与控制 · 电气工程与系统科学 2020-06-02 Wei Xiao , Christos G. Cassandras , Calin Belta

In this letter, we consider a transportation network with a 100\% penetration rate of connected and automated vehicles (CAVs) and present an optimal routing approach that takes into account the efficiency achieved in the network by…

系统与控制 · 电气工程与系统科学 2022-06-14 Heeseung Bang , Behdad Chalaki , Andreas A. Malikopoulos

This paper focuses on the speed planning problem for connected and automated vehicles (CAVs) communicating to traffic lights. The uncertainty of traffic signal timing for signalized intersections on the road is considered. The eco-driving…

最优化与控制 · 数学 2019-04-11 Chao Sun , Jacopo Guanetti , Francesco Borrelli , Scott Moura