Hierarchical Path Views: A Model Based on Fragmentation and Transportation Road Types

EEcient path query processing necessary for route guidance has been identiied as one of the key requirements for Intelligent Transportation Systems (ITS) applications. While precomputing the view of all shortest paths provides the most eecient path retrieval, the view maintenance and storage costs become unrealistic for large ITS networks. Based on ITS road type classiication, we propose a hierarchical path view approach, in which the path view maintenance and storage costs are dramatically reduced at the cost of negligible loss of path optimality. Comparing with the traditional ITS path nding approaches that use A or hierarchical A , our hierarchical approach is superior in three areas: 1) path search is more eecient, 2) the connecting point from the low-level roads to the high-level roads and vice versa are dynamically determined based on the most recent traac, 3) within one region, the high-level traac can be dynamically rerouted through the low-level roads. In this paper, we conduct experiments to gain insight into the performance of our proposed algorithms and model, as well as to contrast the diierence in computational resource requirements between the hierarchical path view and the A algorithms.