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Analytical Modelling of Internet of Vehicles (IoV) by IoT Cloud for Dipping Traffic Congestion and Safety Alert: A Review

  • Sanjib DebnathEmail author
  • Ashim Saha
Conference paper
  • 73 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1192)

Abstract

In this era of technology, the main causes of accidents among motorized vehicles are the sudden slowdown of traffic in highways and hilly areas are characterized by failure of signals, poor law enforcement, and bad traffic management. As a result, it’s lead to more traffic congestion which becomes a major issue for governments, scientists and Vehicle manufacturers. Road safety through vehicle control is the primary interest of the Intelligent Transport System (ITS) studies. Such problems can typically be mitigated by installing on highways that associate with defined traffic sensors the mobile app of drivers through latest communication network, but needless to say, however, not all streets are fitted with such types of equipment in hilly regions. Unfortunately, such accidents occur usually on the road, causing serious injury and death, infrastructure damage. In this regard, vehicular communication is being altered into a new thought named as Internet of Vehicles (IoV). Therefore, Internet of Things (IoT) concept is used to reduce human loss, to avoid or prevent traffic accidents at an extreme level and rather for road safety for an IoV system.

Keywords

Internet of Vehicles IoT Cloud Intelligent Transportation System 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Computer Science and Engineering DepartmentNational Institute of Technology AgartalaAgartalaIndia

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