TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations
Conference Proceeding Article
Taxi service is an important mode of public transportation in most metropolitan areas since it provides door-to-door convenience in the public domain. Unfortunately, despite all the convenience taxis bring, taxi ﬂeets are also extremely inefficient to the point that over 50% of its operation time could be spent in idling state. Improving taxi ﬂeet operation is an extremely challenging problem, not just because of its scale, but also due to fact that taxi drivers are self-interested agents that cannot be controlled centrally. To facilitate the study of such complex and decentralized system, we propose to construct a multiagent simulation platform that would allow researchers to investigate interactions among taxis and to evaluate the impact of implementing certain management policies. The major contribution of our work is the incorporation of our analysis on the real-world driver’s behaviors. Despite the fact that taxi drivers are selﬁsh and unpredictable, by analyzing a huge GPS dataset collected from a major taxi ﬂeet operator, we are able to clearly demonstrate that driver’s movements are closely related to the relative attractiveness of neighboring regions. By applying this insight, we are able to design a background agent movement strategy that generates aggregate performance patterns that are very similar to the real-world ones. Finally, we demonstrate the value of such system with a real-world case study.
multiagent simulation, urban transportation, driver behavior, mobility pattern, taxi ﬂeet
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Intelligent Systems and Decision Analytics
IEEE/WIC/ACM International Conference on Intelligent Agent Technology (WI-IAT), 22-27 August 2011, Lyons, France: Proceedings
City or Country
CHENG, Shih-Fen and NGUYEN, Thi Duong.
TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations. (2011). IEEE/WIC/ACM International Conference on Intelligent Agent Technology (WI-IAT), 22-27 August 2011, Lyons, France: Proceedings. 14-21. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1405