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Advanced Driver Assistance Systems from Autonomous to Cooperative Approach

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  • J. Piao
  • M. McDonald

Abstract

Advanced Driver Assistance Systems (ADAS) have been one of the most active areas of ITS studies in the last two decades. ADAS aim to support drivers by either providing warning to reduce risk exposures, or automating some of the control tasks to relieve a driver from manual control of a vehicle. ADAS functions can be achieved through an autonomous approach with all instrumentation and intelligence on board the vehicle, or through a cooperative approach, where assistance is provided from roadways and/or from other vehicles. In this article, recent research and developments of longitudinal control assistance systems are reviewed including adaptive cruise control, forward collision warning and avoidance, and platooning assistants. The review focuses on comparing between autonomous systems and cooperative systems in terms of technologies used, system impacts and implementation. The main objective is to achieve common understanding on ADAS functional potentials and limitations and to identify research needs for further studies.

Suggested Citation

  • J. Piao & M. McDonald, 2008. "Advanced Driver Assistance Systems from Autonomous to Cooperative Approach," Transport Reviews, Taylor & Francis Journals, vol. 28(5), pages 659-684, February.
    • Handle: RePEc:taf:transr:v:28:y:2008:i:5:p:659-684
    DOI: 10.1080/01441640801987825
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    References listed on IDEAS

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    1. Bose, Arnab & Ioannou, Petros, 2001. "Analysis of Traffic Flow With Mixed Manual and Intelligent Cruise Control Vehicles: Theory and Experiments," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2tw8q0h8, Institute of Transportation Studies, UC Berkeley.
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    4. Agogino, Alice & Chao, Susan & Wang, Jiangxin & Deng, Xinyan, 2000. "Aggregation of Direct and Indirect Positioning Sensors for Vehicle Guidance," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9ct800c5, Institute of Transportation Studies, UC Berkeley.
    5. Godbole, Datta N. & Lygeros, John, 2000. "Safety and Throughput Analysis of Automated Highway Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6767x8n2, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Tomasz Dudek & Kamil Pedziwiatr, 2021. "Safety and the Use of Smart Driver Assistance Systems," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 651-665.
    2. Montserrat Guillen & Ana M. Pérez-Marín, 2018. "“The transition towards semi-autonomous vehicle insurance: the contribution of usage-based data”," IREA Working Papers 201811, University of Barcelona, Research Institute of Applied Economics, revised May 2018.

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