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Intelligent Route Selection for In-vehicle Navigation Systems

Author

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  • Grantham K.H. Pang
  • K. Takahashi
  • T. Yokota
  • H. Takenaga

Abstract

Driving is a demanding task which requires constant concentration and appropriate maneuvers of a vehicle on the road. The introduction of in-vehicle navigation and route guidance system should be carried out with utmost care because of the abundant information that can be provided to a driver. In order to increase the acceptance level and lower the negative safety impacts of in-vehicle navigation systems, the psychological consideration and study of model of driver behavior is crucial. The focus of this article is on the design of a route selection function for an in-vehicle navigation system. The issue of route selection criteria and decision-making by drivers is discussed and an adaptive route selection algorithm presented. The objective is to develop a system function which can act as a driver's assistant and helps in the evaluation of alternate routes. Such a system can help to filter and interpret information to lessen stress on drivers. In this article, the philosophical consideration of drivers' route selection is discussed. The concept of primary attributes is introduced. Also, a review of route selection studies, together with the results from three previous surveys, are presented.

Suggested Citation

  • Grantham K.H. Pang & K. Takahashi & T. Yokota & H. Takenaga, 2002. "Intelligent Route Selection for In-vehicle Navigation Systems," Transportation Planning and Technology, Taylor & Francis Journals, vol. 25(3), pages 175-213, January.
    • Handle: RePEc:taf:transp:v:25:y:2002:i:3:p:175-213
    DOI: 10.1080/0308106022000019639
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    Cited by:

    1. Diakaki, Christina & Papageorgiou, Markos & Papamichail, Ioannis & Nikolos, Ioannis, 2015. "Overview and analysis of Vehicle Automation and Communication Systems from a motorway traffic management perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 147-165.
    2. Quirion-Blais, Olivier & Chen, Lu, 2021. "A case-based reasoning approach to solve the vehicle routing problem with time windows and drivers’ experience," Omega, Elsevier, vol. 102(C).
    3. Adil Baykasoglu & Vahit Kaplanoglu & Cenk Sahin, 2016. "Route prioritisation in a multi-agent transportation environment via multi-attribute decision making," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 8(1), pages 47-64.

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