TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations

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 c...

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Vydané v:2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Ročník 2; s. 14 - 21
Hlavní autori: Shih-Fen Cheng, Thi Duong Nguyen
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.08.2011
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ISBN:9781457713736, 145771373X
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Abstract 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.
AbstractList 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.
Author Thi Duong Nguyen
Shih-Fen Cheng
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  surname: Thi Duong Nguyen
  fullname: Thi Duong Nguyen
  email: tdnguyen@smu.edu.sg
  organization: Sch. of Inf. Syst., Singapore Manage. Univ., Singapore, Singapore
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Snippet Taxi service is an important mode of public transportation in most metropolitan areas since it provides door-to-door convenience in the public domain....
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SubjectTerms Aggregates
Computational modeling
Correlation
Data models
driver behavior
Educational institutions
mobility pattern
multiagent simulation
taxi fleet
urban transportation
Vehicles
Title TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations
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