Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles

• Main Authors: Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.
• Format: Article
• Language: English
• Published: IEEE 2022
• Subjects: QA76 Computer software; T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/33891/1/Deep%20reinforcement%20learning%20based%20driving%20strategy%20for%20avoidance_full.pdf; http://umpir.ump.edu.my/id/eprint/33891/; https://doi.org/10.1109/ACCESS.2022.3167812; https://doi.org/10.1109/ACCESS.2022.3167812

Vehicle control in autonomous traffic flow is often handled using the best decision-making reinforcement learning methods. However, unexpected critical situations make the collisions more severe and, consequently, the chain collisions. In this work, we first review the leading causes of chain collis...