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Implementation Challenges and Opportunities of Smart City and Intelligent Transport Systems in India
Shajimon K. John, D. Sivaraj,
Published in Springer International Publishing
2019
Volume: 154
   
Pages: 213 - 235
Abstract
Intelligent Transport System (ITS) is a part of Internet of Things (IoT) which gives intelligence to vehicles, Infrastructure and provides communication between them for a smart transportation. For improved safety, mobility and efficiency of the transport system a real time communication between Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Infrastructure to Vehicle (I2V) and Infrastructure to Infrastructure (I2I) is mandatory. Real time database helps in improving the development of Advanced Traffic Management System (ATMS), Advanced Traveler Information System (ATIS), Advanced Vehicle Control System (AVCS), Commercial Vehicle Operations (CVO), Advanced Public Transport System (APTS), Advanced Rural Transport System (ARTS), etc. Different countries developed different models of ITS suited to their own specific conditions. There are some limited case studies and implementations occurred in India. A full fledge ITS could not developed looking into the Indian perspective. The traffic condition, vehicle management and infrastructure requirements need lot of up gradation in this respect. The major case studies referred in this are ATMS trail done across Chennai (2009), ATIS in Bangalore and Hyderabad, APTS in Bangalore, Chennai and Indore. The Bus Rapid Transport (BRT) across different places across India as an alternative to metro rail at Pune, Ahmedabad and Chennai. Electronic Toll Collection (ETC) and Advanced Parking Management are some of the application of ITS which gained certain ground across India. Ultra low power Bluetooth 5 technology, 5G Networks and Cellular IoT concept creates lot of opportunities in realizing ITS in India. © Springer Nature Switzerland AG 2019.
About the journal
JournalData powered by TypesetIntelligent Systems Reference Library Internet of Things and Big Data Analytics for Smart Generation
PublisherData powered by TypesetSpringer International Publishing
ISSN1868-4394
Open AccessNo