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ThinkMind // ICWMC 2019, The Fifteenth International Conference on Wireless and Mobile Communications // View article icwmc_2019_3_30_20058


A Dynamically Carpooling Dispatching Algorithm for Improving Efficiency of Self-Driving Taxis in the Connected Vehicles Environment

Authors:
Hsu-Cheng Chung
Yu-Jung Chang
Kuo-Feng Ssu

Keywords: Intelligent transportation systems; Dynamic ridesharing systems; Taxi dispatch schedule; Cooperative dispatch mechanism; Connected vehicles

Abstract:
Since there is a great number of ride demands during the rush hour in major cities, passengers typically spend a lot of time waiting for the available taxis among the limited number of taxis. To address the issue, carpooling is a good way to reduce the waiting time of passengers. Most of the current taxi-sharing approaches have been proposed to deal with the taxi-sharing problem by utilizing traditional vehicles. In this paper, a dynamic taxi carpooling dispatching algorithm is developed in the connected vehicles environment to provide real-time taxi-sharing services. The approach schedules the proper taxis to provide the services for passengers based on the locations of taxis, the destinations of passengers, and the arranged destinations of taxis. The algorithm has been implemented and simulated by using the Simulation of Urban MObility simulator (SUMO). The results show that the algorithm improves the service rate of taxis, the empty car rate of taxis, the average waiting time of passengers, and the driving distance when taxis are serving passengers.

Pages: 39 to 46

Copyright: Copyright (c) IARIA, 2019

Publication date: June 30, 2019

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-61208-719-1

Location: Rome, Italy

Dates: from June 30, 2019 to July 4, 2019

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