國立虎尾科技大學 |

Language: English

Back

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial intelligence for future intelligent transportation :/ edited by Rajesh Kumar Dhanaraj ... [et al.].
Reminder of title:	smarter and greener infrastructure design /
other author:	Dhanaraj, Rajesh Kumar.
Published:	Palm Bay, FL :CRC Press, : 2024.,
Description:	xviii, 318 p. :ill. (some col.) ; : 24 cm.;
Subject:	Intelligent transportation systems. -
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:

866387
Intelligent transportation systems.

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

Dewey Class. No.: 629.04

Artificial intelligence for future intelligent transportation : = smarter and greener infrastructure design /
LDR:02693cam a2200241 a 4500 001 1131062
005 20231003113635.0
008 241210s2024 flua b 001 0 eng
010 $a 2023031492
020 $a 9781774913529 (cloth) : $c NT5394
020 $a 9781774913536 (pbk.)
020 $z 9781003408468 (ebook)
035 $a 23333242
040 $a DLC $b eng $c DLC $d DLC $d NFU
042 $a pcc
050 0 0 $a TE228.3 $b A78 2024
082 0 0 $a 629.04
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 Intelligent transportation systems. $3 866387
650 # 0 $a Transportation engineering $x Technological innovations. $3 1452059
650 # 0 $a Artificial intelligence. $3 559380
700 1 # $a Dhanaraj, Rajesh Kumar. $3 1430428