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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"…

Robotics · Computer Science 2024-07-12 Xianda Chen , PakHin Tiu , Yihuai Zhang , Xinhu Zheng , Meixin Zhu

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…

Systems and Control · Computer Science 2018-06-04 Xun Gong , Yaohui Guo , Yiheng Feng , Jing Sun , Ding Zhao

This paper develops an Optimal Safe Sequencing (OSS) control framework for Connected and Automated Vehicles (CAVs) navigating a single-lane roundabout in mixed traffic, where both CAVs and Human-Driven Vehicles (HDVs) coexist. The framework…

Systems and Control · Electrical Eng. & Systems 2025-03-26 Yingqing Chen , Christos G. Cassandras

Autonomous vehicles (AVs) are promoted as a technology that will create a future with effortless driving and virtually no traffic accidents. AV companies claim that, when fully developed, the technology will eliminate 94% of all accidents…

Robotics · Computer Science 2021-04-15 Akhil Shetty , Mengqiao Yu , Alex Kurzhanskiy , Offer Grembek , Hamidreza Tavafoghi , Pravin Varaiya

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…

Optimization and Control · Mathematics 2021-06-11 A M Ishtiaque Mahbub , Andreas A. Malikopoulos , Liuhui Zhao

Since the traffic administration at road intersections determines the capacity bottleneck of modern transportation systems, intelligent cooperative coordination for connected autonomous vehicles (CAVs) has shown to be an effective solution.…

Robotics · Computer Science 2023-11-14 Donglin Li , Tingting Zhang , Jiping Luo , Tianhao Liang , Bin Cao , Xuanli Wu , Qinyu Zhang

Connected and autonomous vehicles (CAVs) can reduce human errors in traffic accidents, increase road efficiency, and execute various tasks ranging from delivery to smart city surveillance. Reaping these benefits requires CAVs to…

Information Theory · Computer Science 2023-07-07 Tengchan Zeng , Aidin Ferdowsi , Omid Semiari , Walid Saad , Choong Seon Hong

The technological and scientific challenges involved in the development of autonomous vehicles (AVs) are currently of primary interest for many automobile companies and research labs. However, human-controlled vehicles are likely to remain…

Machine Learning · Computer Science 2020-06-22 Ran Emuna , Avinoam Borowsky , Armin Biess

In transportation networks, intersections pose significant risks of collisions due to conflicting movements of vehicles approaching from different directions. To address this issue, various tools can exert influence on traffic safety both…

Artificial Intelligence · Computer Science 2024-05-30 Amir Hossein Karbasi , Hao Yang , Saiedeh Razavi

Connected Automated Vehicles (CAVs) offer unparalleled opportunities to revolutionize existing transportation systems. In the near future, CAVs and human-driven vehicles (HDVs) are expected to coexist, forming a mixed traffic system.…

Systems and Control · Electrical Eng. & Systems 2025-05-20 Ximin Yue , Yunlong Zhang , Zihao Li , Yang Zhou

Automated Vehicles (AVs) hold promise for revolutionizing transportation by improving road safety, traffic efficiency, and overall mobility. Despite the steady advancement in high-level AVs in recent years, the transition to full automation…

Robotics · Computer Science 2025-09-15 Yongqi Dong , Bart van Arem , Haneen Farah

Autonomous driving is a research direction that has gained enormous traction in the last few years thanks to advancements in Artificial Intelligence (AI). Depending on the level of independence from the human driver, several studies show…

Cryptography and Security · Computer Science 2024-05-15 Francesco Marchiori , Alessandro Brighente , Mauro Conti

Human-vehicle cooperative driving has become the critical technology of autonomous driving, which reduces the workload of human drivers. However, the complex and uncertain road environments bring great challenges to the visual perception of…

Computer Vision and Pattern Recognition · Computer Science 2022-04-22 Yiyue Zhao , Cailin Lei , Yu Shen , Yuchuan Du , Qijun Chen

Automated vehicles (AVs) are of great potential in reducing crashes on the road. However, it is still complicated to eliminate all the possible accidents, especially those with vulnerable road users (VRUs), who are among the greater risk…

Human-Computer Interaction · Computer Science 2023-05-22 Aditya Deshmukh , Zifei Wang , Aaron Gunn , Huizhong Guo , Rini Sherony , Fred Feng , Brian Lin , Shan Bao , Feng Zhou

The cooperative control of the connected and automated vehicle (CAV) is recognized as an effective approach to alleviate traffic congestion and improve traffic safety, especially for on-ramp bottlenecks. However, in the mixed traffic, the…

Systems and Control · Electrical Eng. & Systems 2021-11-02 Haoji Liu , Weichao Zhuang , Guodong Yin , Rongcan Li , Chang Liu , Shanxing Zhou

One of the potential capabilities of Connected and Autonomous Vehicles (CAVs) is that they can have different route choice behavior and driving behavior compared to human Driven Vehicles (HDVs). This will lead to mixed traffic flow with…

Systems and Control · Electrical Eng. & Systems 2023-01-27 Behzad Bamdad Mehrabani , Jakob Erdmann , Luca Sgambi , Seyedehsan Seyedabrishami , Maaike Snelder

Assessing collision risk is a critical challenge to effective traffic safety management. The deployment of unmanned aerial vehicles (UAVs) to address this issue has shown much promise, given their wide visual field and movement flexibility.…

Robotics · Computer Science 2021-10-14 Shuya Zong , Sikai Chen , Majed Alinizzi , Yujie Li , Samuel Labi

In transportation networks, where traffic lights have traditionally been used for vehicle coordination, intersections act as natural bottlenecks. A formidable challenge for existing automated intersections lies in detecting and reasoning…

Artificial Intelligence · Computer Science 2022-10-05 Majid Khonji , Rashid Alyassi , Wolfgang Merkt , Areg Karapetyan , Xin Huang , Sungkweon Hong , Jorge Dias , Brian Williams

It is expected that many human drivers will still prefer to drive themselves even if the self-driving technologies are ready. Therefore, human-driven vehicles and autonomous vehicles (AVs) will coexist in a mixed traffic for a long time. To…

Robotics · Computer Science 2019-10-14 Dong Chen , Longsheng Jiang , Yue Wang , Zhaojian Li

Given the rapid advance in ITS technologies, future mobility is pointing to vehicular autonomy. However, there is still a long way before full automation, and human intervention is required. This work sheds light on understanding human…

Human-Computer Interaction · Computer Science 2023-12-05 Zheng Xu
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