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Artificial intelligence for future intelligent transportation : = smarter and greener infrastructure design /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial intelligence for future intelligent transportation :/ edited by Rajesh Kumar Dhanaraj ... [et al.].
其他題名:	smarter and greener infrastructure design /
其他作者:	Dhanaraj, Rajesh Kumar.
出版者:	Palm Bay, FL :CRC Press, : 2024.,
面頁冊數:	xviii, 318 p. :ill. (some col.) ; : 24 cm.;
標題:	Artificial intelligence. -
ISBN:	9781774913529 (cloth) :

Artificial intelligence for future intelligent transportation : = smarter and greener infrastructure design /
Artificial intelligence for future intelligent transportation :smarter and greener infrastructure design /edited by Rajesh Kumar Dhanaraj ... [et al.]. - 1st ed. - Palm Bay, FL :CRC Press,2024. - xviii, 318 p. :ill. (some col.) ;24 cm.

Includes bibliographical references and index.

AI approaches in intelligent transportation systems / K. Nithya, S. Mythili, M. Kalamani, and M. Krishnamoorthi -- Smart air pollution monitoring and prediction system using deep learning enabled IoT technology / K. M. Karthick Raghunath, K. S. Arvind, K. S. Suganya, and R. Vinothsaravanan -- Various AI models to mitigate transport pollution / T. Janani, P. Sobiyaa, K. Sathis Kumar, S. Naveena, and P. Ponnila.

"Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements. The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts. Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well"--

ISBN: 9781774913529 (cloth) :NT5394

LCCN: 2023031492Subjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: TE228.3 / A78 2024

Dewey Class. No.: 629.04

Artificial intelligence for future intelligent transportation : = smarter and greener infrastructure design /
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245 0 0 $a Artificial intelligence for future intelligent transportation : $b smarter and greener infrastructure design / $c edited by Rajesh Kumar Dhanaraj ... [et al.].
250 $a 1st ed.
260 # $a Palm Bay, FL : $a Boca Raton, FL : $c 2024. $b CRC Press, $b Apple Academic Press ;
300 $a xviii, 318 p. : $b ill. (some col.) ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 2 # $a AI approaches in intelligent transportation systems / K. Nithya, S. Mythili, M. Kalamani, and M. Krishnamoorthi -- Smart air pollution monitoring and prediction system using deep learning enabled IoT technology / K. M. Karthick Raghunath, K. S. Arvind, K. S. Suganya, and R. Vinothsaravanan -- Various AI models to mitigate transport pollution / T. Janani, P. Sobiyaa, K. Sathis Kumar, S. Naveena, and P. Ponnila.
520 # $a "Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements. The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts. Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well"-- $c Provided by publisher.
650 # 0 $a Artificial intelligence. $3 559380
650 # 0 $a Transportation engineering $x Technological innovations. $3 1452059
650 # 0 $a Intelligent transportation systems. $3 866387
700 1 # $a Dhanaraj, Rajesh Kumar. $3 1430428