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An IoT-VANET-Based Traffic Management System for Emergency Vehicles in a Smart City

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Recent Findings in Intelligent Computing Techniques

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 708))

Abstract

With the initiatives of Smart Cities and growing popularity of Internet of Things, traffic management system has become one of the most researched areas. Increased vehicle density on roads has resulted in plethora of challenges for traffic management in urban cities worldwide. Failure in transporting accident victims, critical patients and medical equipment on time has led to loss of human lives which are the results of road congestions. This paper introduces a framework with the fused concept of vehicular ad hoc networks and Internet of things that aims to prioritize emergency vehicles for smooth passage through the road traffic. The proposed system navigates ambulances in finding the nearest possible path to their destination based on real-time traffic information. A simulation of the designed framework has been demonstrated using CupCarbon simulator.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, National Institute of Technology, Kurukshetra, Harayana, India

    Lucy Sumi & Virender Ranga

Authors
  1. Lucy Sumi
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  2. Virender Ranga
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Corresponding author

Correspondence to Lucy Sumi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  3. Department of Computer Engineering and Informatics, University of Patras, Patras, Greece

    Ioannis K. Hatzilygeroudis

  4. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Manmath Narayan Sahoo

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Sumi, L., Ranga, V. (2018). An IoT-VANET-Based Traffic Management System for Emergency Vehicles in a Smart City. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 708. Springer, Singapore. https://doi.org/10.1007/978-981-10-8636-6_3

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  • DOI: https://doi.org/10.1007/978-981-10-8636-6_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8635-9

  • Online ISBN: 978-981-10-8636-6

  • eBook Packages: EngineeringEngineering (R0)

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