Human-Like Decision Making and Control for Autonomous Driving

This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.

本書詳細介紹了人類化駕駛技術的尖端研究，利用博弈論來更好地適應人與機器混合駕駛環境。書中涵蓋了人類駕駛行為的特徵識別和建模，並解釋了如何設計用於自主車輛在複雜場景中進行決策和控制的算法。從對該領域的現有研究回顧開始，本書以此為基礎，提出了一個新的人類化駕駛框架理論，適用於自主車輛。各章節涵蓋了決策和控制的系統模型、駕駛安全、乘坐舒適性和出行效率。在整本書中，博弈論被應用於人類化決策，使得自主車輛和人類駕駛者的互動可以使用非合作博弈論方法進行建模。它還使用博弈論來建模連接的自主車輛之間的協作決策。這個框架實現了自主車輛的人類化決策和控制，從而在複雜的交通場景中實現更安全、更高效的駕駛。本書將對汽車工程、計算機工程和控制工程等領域的學生和專業人士具有吸引力。

Dr. Peng Hang is at Nanyang Technological University, Singapore. His research interests include decision making, motion planning and control for connected autonomous vehicles. He received a Ph.D. degree in the School of Automotive Studies, Tongji University, and was a Visiting Researcher at the National University of Singapore, and a Software Engineer at SAIC Motor, China. He has written over 50 academic papers in the field of autonomous driving, as well as applying for more than 20 patents. He serves as an Associate Editor of SAE International Journal of Vehicle Dynamics, Stability, and NVH, and Guest Editors of Actuators, IET Intelligent Transport Systems, and Journal of Advanced Transportation.

Dr. Chen Lv is Professor at Nanyang Technology University, Singapore. He received his Ph.D. at the Department of Automotive Engineering, Tsinghua University, China, and researched at EECS Dept., University of California, Berkeley. His research interests are in advanced vehicle control and intelligence, where he has written over 100 papers and obtained 12 granted patents. He is also Academic Editor for IEEE Transactions on Intelligent Transportation Systems, SAE International Journal of Electrified Vehicles, etc, and Guest Editor for IEEE/ASME Transactions on Mechatronics and IEEE Intelligent Transportation Systems Magazine.

Professor Xinbo Chen studied at Zhejiang University, Tongji University and Tohoku University. He is now Professor in the school of Automotive Studies, Tongji University. He is the author of more than 200 articles and more than 70 patents. His research interests include dynamic control of electric vehicles, design and control of active/semi-active suspension system.

彭航博士就職於新加坡南洋理工大學。他的研究興趣包括連接自主車輛的決策製定、運動規劃和控制。他在同濟大學汽車學院獲得博士學位，曾在新加坡國立大學擔任訪問研究員，並在中國上汽集團擔任軟體工程師。他在自主駕駛領域發表了50多篇學術論文，並申請了20多項專利。他擔任SAE國際車輛動力學、穩定性和NVH期刊的副編輯，以及Actuators、IET智能交通系統和Journal of Advanced Transportation的客座編輯。

陳綠博士是新加坡南洋理工大學的教授。他在中國清華大學汽車工程系獲得博士學位，並在加州大學伯克利分校的電機與電腦科學系進行研究。他的研究興趣在於先進車輛控制和智能化，他已經發表了100多篇論文並獲得了12項專利。他還擔任IEEE智能交通系統交易、SAE國際電動車輛期刊等的學術編輯，並擔任IEEE/ASME機電一體化交易和IEEE智能交通系統雜誌的客座編輯。

陳新波教授在浙江大學、同濟大學和東北大學學習。他現任同濟大學汽車學院教授。他是200多篇文章和70多項專利的作者。他的研究興趣包括電動車輛的動態控制、主動/半主動懸掛系統的設計和控制。