Taxi management and route control: a systems study and simulation experiment
WSC '92 Proceedings of the 24th conference on Winter simulation
A Note on Dijkstra's Shortest Path Algorithm
Journal of the ACM (JACM)
Data Mining and Knowledge Discovery Handbook
Data Mining and Knowledge Discovery Handbook
Optimal traversal planning in road networks with navigational constraints
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Classification and prediction of road traffic using application-specific fuzzy clustering
IEEE Transactions on Fuzzy Systems
Taxi-aware map: identifying and predicting vacant taxis in the city
AmI'10 Proceedings of the First international joint conference on Ambient intelligence
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The tremendous development of information and communication technology has a large influence for service management in the taxi dispatching work. However, taxi drivers who want to drive in 'cruising taxis' decide their travel routes by depending on their own heuristics. As a result, traffic jams and local excess supplies have often been occurred. In this paper, we propose an adaptive routing method in the cruising taxis. In our method, pathways where many customers are expected to exist are assigned to drivers. This assignment adapts dynamically to carrying customers. Our simulation experiment shows that our method was able to pick up more customers than the existing means of cruising taxis.