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An Efficient Dispatch and Decision-making Model for Taxi-booking Service

Authors: 

Cheng Qiao, Mingming Lu, Yong Zhang , Ken Brown

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Taxi-booking services have recently gained attention to address congestion and sustainability. However, current booking services have a low success rate, due to uncooperative behaviours of passengers and drivers. In this paper, we propose a centralized Carrying Reservation System (CRS) to exchange real-time information for drivers and passengers and support a taxi dispatch mechanism to balance real-time supply and demand. Evolutionary game theory is applied to analyze behaviour and optimize the utility for taxi drivers and passengers. Global Position System (GPS) trajectory data from the Transport Commission of Shenzhen Municipality is used to evaluate the performance of proposed system. Results show that our model could reduce locating time as much as 46%, which will in turn lower passengers’ waiting times. With our game theory model, drivers’ profit could be increased by over 18%. Compared with an off-line mining and online recommendation method (OMOM), our method improves the gain of drivers during non-rush hours.
Conference Name: 
12th IEEE International Conference on Advanced and Trusted Computing (ATC 2015)
Digital Object Identifer (DOI): 
10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.88
Publication Date: 
10/08/2015
Conference Location: 
China
Institution: 
National University of Ireland, Cork (UCC)
Project Acknowledges: 
Open access repository: 
No
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