04126nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001800153072001600171072002300187072001500210245014700225250001800372264007500390300006400465336002600529337002600555338003600581347002400617490007200641505069700713520137201410650002302782650002502805650002802830650003202858650002502890650004202915650003702957650002802994650005503022700008203077700008003159700008303239710003403322773002603356776003603382776003603418776003603454830007203490856004603562978-3-031-38669-5DE-He21320251030110811.0cr nn 008mamaa230823s2024    sz |    s    |||| 0|eng d  a97830313866957 a10.1007/978-3-031-38669-52doi 4aTK5101-5105.9 7aTJK2bicssc 7aTEC0410002bisacsh 7aTJK2thema10aComputing in Intelligent Transportation Systemsh[electronic resource] /cedited by Archana Naganathan, Niresh Jayarajan, Mamun Bin Ibne Reaz.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aIX, 110 p. 61 illus., 37 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aEAI/Springer Innovations in Communication and Computing,x2522-86090 aIntroduction -- 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.  aThis 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. . 0aTelecommunication. 0aComputer networks . 0aAutomotive engineering. 0aTransportation engineering. 0aTraffic engineering.14aCommunications Engineering, Networks.24aComputer Communication Networks.24aAutomotive Engineering.24aTransportation Technology and Traffic Engineering.1 aNaganathan, Archana.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aJayarajan, Niresh.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aBin Ibne Reaz, Mamun.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303138668808iPrinted edition:z978303138670108iPrinted edition:z9783031386718 0aEAI/Springer Innovations in Communication and Computing,x2522-860940uhttps://doi.org/10.1007/978-3-031-38669-5