Reliable pre-trip multi-path planning and dynamic adaptation for a centralized road navigation system

In this paper, an integrated approach combining offline pre-computation of optimal candidate paths with online path retrieval and dynamic adaptation is proposed for a dynamic navigation system in a centralized system architecture. Based on a static traffic data file, a partially disjoint candidate path set is constructed prior to the trip using a heuristic link weight increment method. This method satisfies reasonable path constraints that meet the drivers´ preferences as well as alternative path constraints that limit the joint failure probability for candidate paths. The characteristics of the proposed algorithm are the following: 1) the response time for online navigation demand is nearly linear with network size and less dependent on system load; 2) the veracity of the pre-trip route plan based on the static data file is improved by taking travel time reliability into account; and 3) system optimization can be approximated without sacrificing driver preferences. The algorithm is tested on randomly generated road networks and the numerical results show the efficiency of the approach.