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相关论文: Addressing Mixed Traffic Through Platooning of Veh…

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Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce pollution, energy consumption, and travel delays. In this paper, we address the problem of vehicle platoon formation in a traffic network with partial…

最优化与控制 · 数学 2021-06-23 A M Ishtiaque Mahbub , Andreas A. Malikopoulos

Trajectory planning of connected and automated vehicles (CAVs) poses significant challenges in a mixed traffic environment due to the presence of human-driven vehicles (HDVs). In this paper, we apply a framework that allows coordination of…

系统与控制 · 电气工程与系统科学 2023-10-31 Alejandra Valencia , A M Ishtiaque Mahbub , Andreas A. Malikopoulos

Coordination of connected and automated vehicles (CAVs) in a mixed traffic environment poses significant challenges due to the presence of human-driven vehicles (HDVs) with stochastic dynamics and driving behavior. In earlier work, we…

最优化与控制 · 数学 2022-06-14 A M Ishtiaque Mahbub , Andreas A. Malikopoulos

In this paper, we present an optimal control framework to address motion coordination of connected automated vehicles (CAVs) in the presence of human-driven vehicles (HDVs) in merging scenarios. Our framework combines an unconstrained…

系统与控制 · 电气工程与系统科学 2023-09-08 Viet-Anh Le , Hao M. Wang , Gabor Orosz , Andreas A. Malikopoulos

The emergence of Connected and Automated Vehicles (CAVs) promises better traffic mobility for future transportation systems. Existing research mostly focused on fully-autonomous scenarios, while the potential of CAV control at a mixed…

最优化与控制 · 数学 2021-04-26 Chaoyi Chen , Jiawei Wang , Qing Xu , Jianqiang Wang , Keqiang Li

Connected and automated vehicles (CAVs) provide the most intriguing opportunity to optimize energy consumption and travel time. Several approaches have been proposed in the literature that allow CAVs to coordinate in situations where there…

最优化与控制 · 数学 2021-06-11 A M Ishtiaque Mahbub , Andreas A. Malikopoulos , Liuhui Zhao

The proliferation of connected and automated vehicles (CAVs) has positioned mixed traffic environments, which encompass both CAVs and human driven vehicles (HDVs), as critical components of emerging mobility systems. Signalized…

系统与控制 · 电气工程与系统科学 2025-04-08 Filippos N. Tzortzoglou , Logan E. Beaver , Andreas A. Malikopoulos

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 Automated Vehicles (CAVs) offer a promising solution to the challenges of mixed traffic with both CAVs and Human-Driven Vehicles (HDVs). A significant hurdle in such scenarios is traffic oscillation, or the "stop-and-go"…

机器人学 · 计算机科学 2024-07-12 Xianda Chen , PakHin Tiu , Yihuai Zhang , Xinhu Zheng , Meixin Zhu

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…

系统与控制 · 电气工程与系统科学 2022-09-05 Bohui Wang , Rong Su

When connected and autonomous vehicles (CAVs) are widely used in the future, we can foresee many essential applications, such as platoon formation and autonomous police patrolling, which need two CAVs, originally separated in a mixed…

最优化与控制 · 数学 2022-07-28 Jiahua Qiu , Lili Du

This paper studies safe driving interactions between Human-Driven Vehicles (HDVs) and Connected and Automated Vehicles (CAVs) in mixed traffic where the dynamics and control policies of HDVs are unknown and hard to predict. In order to…

系统与控制 · 电气工程与系统科学 2023-10-03 Anni Li , Christos G. Cassandras , Wei Xiao

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

Connected automated vehicles (CAVs) could potentially be coordinated to safely attain the maximum traffic flow on roadways under dynamic traffic patterns, such as those engendered by the merger of two strings of vehicles due a lane drop.…

系统与控制 · 计算机科学 2017-10-09 Aria HasanzadeZonuzy , Sina Arefizadeh , Alireza Talebpour , Srinivas Shakkottai , Swaroop Darbha

The introduction of connected and automated vehicles (CAV) is believed to reduce congestion, enhance safety, and improve traffic efficiency. Numerous research studies have focused on controlling pure CAV platoons in fully connected…

系统与控制 · 电气工程与系统科学 2024-06-18 Chenguang Zhao , Tamas G. Molnar , Huan Yu

Autonomous driving technology pledges safety, convenience, and energy efficiency. Challenges include the unknown intentions of other road users: communication between vehicles and with the road infrastructure is a possible approach to…

系统与控制 · 计算机科学 2018-04-12 Jacopo Guanetti , Yeojun Kim , Francesco Borrelli

Suppose in a stable urban traffic system populated only by human driven vehicles (HDVs), a given proportion (e.g. 10%) is replaced by a fleet of Connected and Autonomous Vehicles (CAVs), which share information and pursue a collective goal.…

多智能体系统 · 计算机科学 2024-09-20 Grzegorz Jamróz , Ahmet Onur Akman , Anastasia Psarou , Zoltán Györgi Varga , Rafał Kucharski

Vehicle platooning using connected and automated vehicles (CAVs) has attracted considerable attention. In this paper, we address the problem of optimal coordination of CAV platoons at a highway on-ramp merging. We present a single-level…

最优化与控制 · 数学 2021-11-17 A M Ishtiaque Mahbub , Behdad Chalaki , Andreas A. Malikopoulos

Coordinated control of connected and automated vehicles (CAVs) emerges as a promising technology to improve traffic safety, efficiency, and sustainability. Meanwhile, mixed traffic, where CAVs coexist with conventional human-driven vehicles…

系统与控制 · 电气工程与系统科学 2025-06-24 Tong Zhao , Nikolce Murgovski , Baigen Cai , Wei ShangGuan

In this letter, we present an approach for learning human driving behavior, without relying on specific model structures or prior distributions, in a mixed-traffic environment where connected and automated vehicles (CAVs) coexist with…

系统与控制 · 电气工程与系统科学 2024-03-12 Heeseung Bang , Aditya Dave , Andreas A. Malikopoulos
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