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Towards a Multi Objective Path Optimisation for Car Navigation

Published online by Cambridge University Press:  25 November 2011

Ching-Sheng Chiu  and
Chris Rizos
Ching-Sheng Chiu*
Affiliation:
(Department of Urban Planning & Spatial Information, Feng Chia University)
Chris Rizos
Affiliation:
(School of Surveying & Spatial Information Systems, The University of New South Wales)
*
(E-mail:[email protected])
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Abstract

In a car navigation system the conventional information used to guide drivers in selecting their driving routes typically considers only one criterion, usually the Shortest Distance Path (SDP). However, drivers may apply multiple criteria to decide their driving routes. In this paper, possible route selection criteria together with a Multi Objective Path Optimisation (MOPO) model and algorithms for solving the MOPO problem are proposed. Three types of decision criteria were used to present the characteristics of the proposed model. They relate to the cumulative SDP, passed intersections (Least Node Path – LNP) and number of turns (Minimum Turn Path – MTP). A two-step technique which incorporates shortest path algorithms for solving the MOPO problem was tested. To demonstrate the advantage that the MOPO model provides drivers to assist in route selection, several empirical studies were conducted using two real road networks with different roadway types. With the aid of a Geographic Information System (GIS), drivers can easily and quickly obtain the optimal paths of the MOPO problem, despite the fact that these paths are highly complex and difficult to solve manually.

Keywords

Shortest pathLeast nodeMinimum turnCar navigation each
Type
Research Article
Information
The Journal of Navigation , Volume 65 , Issue 1 , January 2012 , pp. 125 - 144
Copyright
Copyright © The Royal Institute of Navigation 2011

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