04504nam a22006015i 4500 978-3-031-38669-5 DE-He213 20251030110811.0 cr nn 008mamaa 230823s2024 sz | s |||| 0|eng d 9783031386695 978-3-031-38669-5 10.1007/978-3-031-38669-5 doi TK5101-5105.9 TJK bicssc TEC041000 bisacsh TJK thema Computing in Intelligent Transportation Systems [electronic resource] / edited by Archana Naganathan, Niresh Jayarajan, Mamun Bin Ibne Reaz. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. IX, 110 p. 61 illus., 37 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda EAI/Springer Innovations in Communication and Computing, 2522-8609 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. . Telecommunication. 65684 Computer networks . 60157 Automotive engineering. 65685 Transportation engineering. 65686 Traffic engineering. 65687 Communications Engineering, Networks. 65688 Computer Communication Networks. 65689 Automotive Engineering. 65690 Transportation Technology and Traffic Engineering. 65691 Naganathan, Archana. editor. edt http://id.loc.gov/vocabulary/relators/edt 65692 Jayarajan, Niresh. editor. edt http://id.loc.gov/vocabulary/relators/edt 65693 Bin Ibne Reaz, Mamun. editor. edt http://id.loc.gov/vocabulary/relators/edt 65694 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031386688 Printed edition: 9783031386701 Printed edition: 9783031386718 EAI/Springer Innovations in Communication and Computing, 2522-8609 65695 https://doi.org/10.1007/978-3-031-38669-5 ZDB-2-ENG ZDB-2-SXE 56241 56241