A Continuous Query System for Dynamic Route Planning
Author(s)Malviya, Nirmesh; Madden, Samuel R.; Bhattacharyya, Arnab
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In this paper, we address the problem of answering continuous route planning queries over a road network, in the presence of updates to the delay (cost) estimates of links. A simple approach to this problem would be to recompute the best path for all queries on arrival of every delay update. However, such a naive approach scales poorly when there are many users who have requested routes in the system. Instead, we propose two new classes of approximate techniques – K-paths and proximity measures to substantially speed up processing of the set of designated routes specified by continuous route planning queries in the face of incoming traffic delay updates. Our techniques work through a combination of precomputation of likely good paths and by avoiding complete recalculations on every delay update, instead only sending the user new routes when delays change significantly. Based on an experimental evaluation with 7,000 drives from real taxi cabs, we found that the routes delivered by our techniques are within 5% of the best shortest path and have run times an order of magnitude or less compared to a naive approach.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
International Conference on Data Engineering (ICDE 2011)
International Conference on Data Engineering
Malviya, Nirmesh, Samuel Madden, and Arnab Bhattacharya. "A Continuous Query System for Dynamic Route Planning" in Proceedings of the International Conference on Data Engineering, ICDE 2011, April 11-16, Hannover, Germany.
Author's final manuscript