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Efficient and dynamic path planning has become an important topic for urban areas with larger density of connected vehicles (CV) which results in reduction of travel time and directly contributes to environmental sustainability through…

Signal Processing · Electrical Eng. & Systems 2024-05-15 S. Norouzi , N. Azarasa , M. R. Abedi , N. Mokari , S. E. Seyedabrishami , H. Saeedi , E. A. Jorswieck

Recent advances in autonomous vehicle technologies and cellular network speeds motivate developments in vehicle-to-everything (V2X) communications. Enhanced road safety features and improved fuel efficiency are some of the motivations…

Vehicle-to-everything (V2X) communication technology is revolutionizing transportation by enabling interactions between vehicles, devices, and infrastructures. This connectivity enhances road safety, transportation efficiency, and driver…

Signal Processing · Electrical Eng. & Systems 2024-10-29 Lorenzo Mancini , Safwan Labbi , Karim Abed Meraim , Fouzi Boukhalfa , Alain Durmus , Paul Mangold , Eric Moulines

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…

Systems and Control · Electrical Eng. & Systems 2020-06-02 Wei Xiao , Christos G. Cassandras , Calin Belta

The recent advancements in wireless technology enable connected autonomous vehicles (CAVs) to gather data via vehicle-to-vehicle (V2V) communication, such as processed LIDAR and camera data from other vehicles. In this work, we design an…

Robotics · Computer Science 2023-02-16 Songyang Han , Shanglin Zhou , Lynn Pepin , Jiangwei Wang , Caiwen Ding , Fei Miao

Our current transportation system suffers from a number of problems in terms of safety, mobility, and environmental sustainability. The emergence of innovative intelligent transportation systems (ITS) technologies, and in particular…

Systems and Control · Electrical Eng. & Systems 2020-02-06 Zhouqiao Zhao , Guoyuan Wu , Ziran Wang , Matthew J. Barth

Vehicle-to-everything (V2X) cooperation has emerged as a promising paradigm to overcome the perception limitations of classical autonomous driving by leveraging information from both ego-vehicle and infrastructure sensors. However,…

Robotics · Computer Science 2025-06-23 Junwei You , Haotian Shi , Zhuoyu Jiang , Zilin Huang , Rui Gan , Keshu Wu , Xi Cheng , Xiaopeng Li , Bin Ran

This paper develops a sequencing-enabled hierarchical connected automated vehicle (CAV) cooperative on-ramp merging control framework. The proposed framework consists of a two-layer design: the upper level control sequences the vehicles to…

Systems and Control · Electrical Eng. & Systems 2024-05-28 Sixu Li , Yang Zhou , Xinyue Ye , Jiwan Jiang , Meng Wang

The huge research interest in cellular vehicle-to-everything (C-V2X) communications in recent days is attributed to their ability to schedule multiple access more efficiently as compared to its predecessor technology, i.e., dedicated…

Networking and Internet Architecture · Computer Science 2021-01-27 Seungmo Kim , Byung-Jun Kim , B. Brian Park

Vehicle-to-vehicle (V2V) communication is a key component of the future autonomous driving systems. V2V can provide an improved awareness of the surrounding environment, and the knowledge about the future actions of nearby vehicles.…

Networking and Internet Architecture · Computer Science 2017-10-03 Vladimir Savic , Elad M. Schiller , Marina Papatriantafilou

In the context of autonomous driving on expressways, the issue of ensuring safe and efficient ramp merging remains a significant challenge. Existing systems often struggle to accurately assess the status and intentions of other vehicles,…

Systems and Control · Electrical Eng. & Systems 2025-02-17 Ting Peng , Xiaoxue Xu , Yuan Li , Jie WU , Tao Li , Xiang Dong , Yincai Cai , Peng Wu , Sana Ullah

Connected vehicles will change the modes of future transportation management and organization, especially at an intersection without traffic light. Centralized coordination methods globally coordinate vehicles approaching the intersection…

Robotics · Computer Science 2021-03-12 Yang Guan , Yangang Ren , Shengbo Eben Li , Qi Sun , Laiquan Luo , Keqiang Li

Autonomous driving promises to transform road transport. Multi-vehicle and multi-lane scenarios, however, present unique challenges due to constrained navigation and unpredictable vehicle interactions. Learning-based methods---such as deep…

Robotics · Computer Science 2020-02-12 Rupert Mitchell , Jenny Fletcher , Jacopo Panerati , Amanda Prorok

Connected vehicle (CV) technology is among the most heavily researched areas in both the academia and industry. The vehicle to vehicle (V2V), vehicle to infrastructure (V2I) and vehicle to pedestrian (V2P) communication capabilities enable…

Prior work has looked at applying reinforcement learning and imitation learning approaches to autonomous driving scenarios, but either the safety or the efficiency of the algorithm is compromised. With the use of control barrier functions…

Robotics · Computer Science 2022-12-02 Soumith Udatha , Yiwei Lyu , John Dolan

Vehicle-to-Everything (V2X) communication has become an integral component of Intelligent Transportation Systems (ITS) due to its ability to connect vehicles, pedestrians, infrastructure, and create situational awareness among vehicles.…

Networking and Internet Architecture · Computer Science 2021-01-19 Ghayoor Shah , MD Saifuddin , Yaser P. Fallah , Somak Datta Gupta

With the rapid development of communication technology, connected vehicles (CV) have the potential, through the sharing of data, to enhance vehicle safety and reduce vehicle energy consumption and emissions. Numerous research efforts are…

Signal Processing · Electrical Eng. & Systems 2022-02-04 Jianhe Du , Kyoungho Ahn , Mohamed Farag , Hesham Rakha

The advancement of Connected and Automated Vehicles (CAVs) and Vehicle-to-Everything (V2X) offers significant potential for enhancing transportation safety, mobility, and sustainability. However, the integration and analysis of the diverse…

Artificial Intelligence · Computer Science 2025-03-05 Keshu Wu , Pei Li , Yang Zhou , Rui Gan , Junwei You , Yang Cheng , Jingwen Zhu , Steven T. Parker , Bin Ran , David A. Noyce , Zhengzhong Tu

Given the aging infrastructure and the anticipated growing number of highway work zones in the United States, it is important to investigate work zone merge control, which is critical for improving work zone safety and capacity. This paper…

Signal Processing · Electrical Eng. & Systems 2020-01-24 Tianzhu Ren , Yuanchang Xie , Liming Jiang

In today's era, autonomous vehicles demand a safety level on par with aircraft. Taking a cue from the aerospace industry, which relies on redundancy to achieve high reliability, the automotive sector can also leverage this concept by…

Machine Learning · Computer Science 2023-10-09 Fouzi Boukhalfa , Reda Alami , Mastane Achab , Eric Moulines , Mehdi Bennis