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We consider the problem of scaling up optimal and safe controllers for Connected and Automated Vehicles (CAVs) from a single Control Zone (CZ) around a traffic conflict area to an entire network. The goal is to jointly minimize travel time…

系统与控制 · 电气工程与系统科学 2023-08-08 Kaiyuan Xu , Christos G. Cassandras

In recent years, the development of connected and automated vehicle (CAV) technology has inspired numerous advanced applications targeted at improving existing transportation systems. As one of the widely studied applications of CAV…

The connected vehicle technology is a remarkable trend in the field of the intelligent transportation system. Since the actual deployment of the connected vehicle system is still lacking hitherto, simulation is widely adopted as the major…

系统与控制 · 计算机科学 2018-09-07 Weitong Zhang , Shuai Liu , Daoya Yao

Connected and automated vehicles (CAVs) have a great potential to improve traffic efficiency in mixed traffic systems, which has been demonstrated by multiple numerical simulations and field experiments. However, some fundamental properties…

最优化与控制 · 数学 2020-02-07 Jiawei Wang , Yang Zheng , Qing Xu , Jianqiang Wang , Keqiang Li

We derive optimal control policies for a Connected and Automated Vehicle (CAV) cooperating with neighboring CAVs to implement a highway lane change maneuver. We optimize the maneuver time and subsequently minimize the associated energy…

系统与控制 · 计算机科学 2019-12-03 Rui Chen , Christos G. Cassandras , Amin Tahmasbi-Sarvestani

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…

系统与控制 · 电气工程与系统科学 2024-06-26 Anni Li , Andres S. Chavez Armijos , Christos G. Cassandras

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…

In this paper, we design a safe and efficient cruise control for the connected automated vehicle with access to motion information from multiple vehicles ahead via vehicle-to-vehicle (V2V) communication. Position and velocity data collected…

系统与控制 · 电气工程与系统科学 2025-07-31 Haosong Xiao , Chaozhe R. He

Autonomous vehicles (AVs) are being rapidly introduced into our lives. However, public misunderstanding and mistrust have become prominent issues hindering the acceptance of these driverless technologies. The primary objective of this study…

人机交互 · 计算机科学 2023-02-20 Zhijie Qiao , Helen Loeb , Venkata Gurrla , Matt Lebermann , Johannes Betz , Rahul Mangharam

Widespread adoption of autonomous cars will require greater confidence in their safety than is currently possible. Certified control is a new safety architecture whose goal is two-fold: to achieve a very high level of safety, and to provide…

We address the problem of coordinating online a continuous flow of connected and automated vehicles (CAVs) crossing two adjacent intersections in an urban area. We present a decentralized optimal control framework whose solution yields for…

最优化与控制 · 数学 2017-06-19 Yue J. Zhang , Andreas A. Malikopoulos , Christos G. Cassandras

We address the problem of controlling Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network subject to hard safety constraints. It has been shown that such problems can be solved through a combination of tractable…

系统与控制 · 电气工程与系统科学 2022-03-24 Ehsan Sabouni , Christos G. Cassandras , Wei Xiao , Nader Meskin

We propose a fully distributed control system architecture, amenable to in-vehicle implementation, that aims to safely coordinate connected and automated vehicles (CAVs) at road intersections. For control purposes, we build upon a fully…

最优化与控制 · 数学 2022-03-25 Alexander Katriniok , Benedikt Rosarius , Petri Mähönen

This paper introduces a comprehensive approach to optimize parking efficiency for connected and Automated vehicle (CAVs) fleets. We present a multi-vehicle parking simulator, equipped with hierarchical path planning and collision avoidance…

系统与控制 · 电气工程与系统科学 2025-11-17 Xu Shen , Yongkeun Choi , Alex Wong , Francesco Borrelli , Scott Moura , Soomin Woo

This paper investigates the safe platoon formation tracking and merging control problem of connected and automated vehicles (CAVs) on curved multi-lane roads. The first novelty is the separation of the control designs into two distinct…

系统与控制 · 电气工程与系统科学 2025-02-17 Xiao Chen , Zhiqi Tang , Karl Henrik Johansson , Jonas Mårtensson

Connected and automated vehicles (CAVs) 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 2023-09-20 Andreas A. Malikopoulos

Connected and automated vehicles (CAVs) have the potential to improve traffic throughput and achieve a more efficient utilization of the available roadway infrastructure. They also have the potential to reduce energy consumption through…

系统与控制 · 电气工程与系统科学 2022-12-19 Nathan Goulet , Beshah Ayalew

Control systems on unmanned vehicles are safety-critical systems whose requirements on reliability and safety are ever-increasing. Currently, testing a complex autonomous control system is an expensive and time-consuming process, which…

系统与控制 · 电气工程与系统科学 2019-08-08 Xunhua Dai , Chenxu Ke , Quan Quan , Kai-Yuan Cai

The energy efficiency of Connected and Automated Vehicles (CAVs) is significantly influenced by surrounding road users. This paper presents the evaluation of energy efficiency of CAVs in a mixed traffic interacted with human controlled…

系统与控制 · 计算机科学 2018-06-04 Xun Gong , Yaohui Guo , Yiheng Feng , Jing Sun , Ding Zhao

In this article, we present a long-duration autonomy approach for the control of connected and automated vehicles (CAVs) operating in a transportation network. In particular, we focus on the performance of CAVs at traffic bottlenecks,…

系统与控制 · 电气工程与系统科学 2025-10-10 Logan E. Beaver