{"product_id":"humanlike-decision-making-and-control-for-autonomous-driving-9781032262086","title":"Human-Like Decision Making and Control for Autonomous Driving","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book explores cutting-edge research into human-like driving technology,using game theory to improve decision-making and control in autonomous vehicles. It covers feature identification, modelling of human driving behaviours, and decision-making and control in complex scenarios. Game theory is applied to model human-like decision-making and collaborative decision-making between connected autonomous vehicles, leading to safer and more efficient driving. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 186 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 25 July 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive book delves into the realm of cutting-edge research into human-like driving technology, employing game theory to enhance the compatibility of human and machine-driven environments. It comprehensively covers various aspects, including the identification and modeling of human driving behaviors, with a focus on designing algorithms for decision-making and control in complex autonomous vehicle scenarios.\u003cbr\u003e\u003cbr\u003eThe book begins by providing a review of the current state-of-the-art research in the field, serving as a foundation for the subsequent theoretical framework. Chapters delve into 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 modeling of interactions between autonomous vehicles and human drivers using a noncooperative game theory approach. Additionally, the book explores collaborative decision-making among connected autonomous vehicles using game theory.\u003cbr\u003e\u003cbr\u003eBy adopting this framework, the book facilitates human-like decision-making and control of autonomous vehicles, resulting in safer and more efficient driving in intricate traffic scenarios. This book appeals to a wide audience, including students and professionals in the fields of automotive engineering, computer engineering, and control engineering.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 420g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 163 x 241 x 19 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032262086\u003c\/p\u003e","brand":"PengHang,ChenLv,XinboChen","offers":[{"title":"Hardback","offer_id":44104540717306,"sku":"9781032262086","price":90.43,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1659128818257_book.jpg?v=1659450405","url":"https:\/\/shulphink.com\/products\/humanlike-decision-making-and-control-for-autonomous-driving-9781032262086","provider":"Shulph Ink","version":"1.0","type":"link"}