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Computing in intelligent transportation systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computing in intelligent transportation systems/ edited by Archana Naganathan, Niresh Jayarajan, Mamun Bin Ibne Reaz.
其他作者:	Naganathan, Archana.
出版者:	Cham :Springer International Publishing : : 2024.,
面頁冊數:	ix, 110 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- An overview of computing in Vehicular systems -- Smart transportation system: Challenges and opportunities -- Design and Implementation Procedure for an Advanced Driver Assistance System Based on an Hardware in loop simulation -- Modelling, Simulation, and Management Strategy of an Electric Vehicle Charging Station Based on Microgrid system -- Safety challenges of Electric & Automated vehicles -- Experimental analysis of smart computing technique for Autonomous Vehicle systems -- Assessment and prospects of increasing technological trends in the development of transportation systems -- Machine learning models for data analytics in Automotive application -- Conclusion.
Contained By:	Springer Nature eBook
標題:	Intelligent transportation systems. -
電子資源:	https://doi.org/10.1007/978-3-031-38669-5
ISBN:	9783031386695

Computing in intelligent transportation systems
Computing in intelligent transportation systems[electronic resource] /edited by Archana Naganathan, Niresh Jayarajan, Mamun Bin Ibne Reaz. - Cham :Springer International Publishing :2024. - ix, 110 p. :ill. (some col.), digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

Introduction -- An overview of computing in Vehicular systems -- Smart transportation system: Challenges and opportunities -- Design and Implementation Procedure for an Advanced Driver Assistance System Based on an Hardware in loop simulation -- Modelling, Simulation, and Management Strategy of an Electric Vehicle Charging Station Based on Microgrid system -- Safety challenges of Electric & Automated vehicles -- Experimental analysis of smart computing technique for Autonomous Vehicle systems -- Assessment and prospects of increasing technological trends in the development of transportation systems -- Machine learning models for data analytics in Automotive application -- Conclusion.

This book presents various application areas of computing in the automotive sector. The authors explain how computing enhances the performance of vehicles, covering the applications of computing in smart transportation and the future scope. The authors focus on computing for vehicle safety in conjunction with the latest technologies in Internet of Things (IoT) The book provides a holistic approach to computing in an inter-disciplinary and unified view. Topics covered include driverless automated navigation systems, smart transportation, self-learning systems, in-vehicle intelligent systems, and off-road vehicle diagnosis and maintenance, among others. The authors include simulated examples and case studies for better understanding of the technologies and applications. The book is intended for a wide range of readers from students to researchers and industry practitioners and is a useful resource for those planning to pursue research in the area of computing and autonomous driving vehicles. Features an interdisciplinary approach to smart transportation systems, including intelligent vehicles, safety systems; Includes simulated examples and case studies for better understanding of presented technologies and their applications; Relevant for audience in a disciplines including automotive, electrical engineering, electronics, and computer science.

ISBN: 9783031386695

Standard No.: 10.1007/978-3-031-38669-5doiSubjects--Topical Terms:

1066364
Intelligent transportation systems.

LC Class. No.: TE228.3

Dewey Class. No.: 388.312

Computing in intelligent transportation systems
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505 0 $a Introduction -- An overview of computing in Vehicular systems -- Smart transportation system: Challenges and opportunities -- Design and Implementation Procedure for an Advanced Driver Assistance System Based on an Hardware in loop simulation -- Modelling, Simulation, and Management Strategy of an Electric Vehicle Charging Station Based on Microgrid system -- Safety challenges of Electric & Automated vehicles -- Experimental analysis of smart computing technique for Autonomous Vehicle systems -- Assessment and prospects of increasing technological trends in the development of transportation systems -- Machine learning models for data analytics in Automotive application -- Conclusion.
520 $a This book presents various application areas of computing in the automotive sector. The authors explain how computing enhances the performance of vehicles, covering the applications of computing in smart transportation and the future scope. The authors focus on computing for vehicle safety in conjunction with the latest technologies in Internet of Things (IoT) The book provides a holistic approach to computing in an inter-disciplinary and unified view. Topics covered include driverless automated navigation systems, smart transportation, self-learning systems, in-vehicle intelligent systems, and off-road vehicle diagnosis and maintenance, among others. The authors include simulated examples and case studies for better understanding of the technologies and applications. The book is intended for a wide range of readers from students to researchers and industry practitioners and is a useful resource for those planning to pursue research in the area of computing and autonomous driving vehicles. Features an interdisciplinary approach to smart transportation systems, including intelligent vehicles, safety systems; Includes simulated examples and case studies for better understanding of presented technologies and their applications; Relevant for audience in a disciplines including automotive, electrical engineering, electronics, and computer science.
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