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A Comprehensive Study of Intelligent Transportation System Architectures for Road Congestion Avoidance

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Ubiquitous Networking (UNet 2017)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10542))

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Abstract

Road congestion is considered as the bottleneck in Intelligent Transportation System (ITS). It has serious impact on human security, the environment and the economy. Thus, congestion avoidance is one of the main challenges facing ITS. In the aim of reducing the congestion problem, different ITS schemes were proposed. In this paper, we present a comprehensive study of the recent approaches dealing with the congestion issue. This study brings to the scientific community a new classification of the previous schemes based on their specific features. To this end, we introduce some new metrics to evaluate all the studied approaches. We found that the majority of the new congestion management approaches are cooperative and efficient in decreasing the travel delay. However, they are generally focusing on vehicles control and ignoring other elements, such as the use of the road in daily life. The current study presents a new direction of future researches on congestion management systems.

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Authors and Affiliations

  1. University Moulay Ismail, Meknes, Morocco

    Sara El Hamdani & Nabil Benamar

Authors
  1. Sara El Hamdani
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  2. Nabil Benamar
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Corresponding author

Correspondence to Sara El Hamdani .

Editor information

Editors and Affiliations

  1. ENSEM, Hassan II University of Casablanca, Casablanca, Morocco

    Essaid Sabir

  2. Universidad Carlos III de Madrid, Madrid, Spain

    Ana García Armada

  3. International University of Rabat, Morocco, and University of Leeds, UK, Leeds, United Kingdom

    Mounir Ghogho

  4. CentraleSupélec LANEAS, Gif-sur-Yvette, France

    Mérouane Debbah

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El Hamdani, S., Benamar, N. (2017). A Comprehensive Study of Intelligent Transportation System Architectures for Road Congestion Avoidance. In: Sabir, E., García Armada, A., Ghogho, M., Debbah, M. (eds) Ubiquitous Networking. UNet 2017. Lecture Notes in Computer Science(), vol 10542. Springer, Cham. https://doi.org/10.1007/978-3-319-68179-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-68179-5_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68178-8

  • Online ISBN: 978-3-319-68179-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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