Abstract
In order to solve the problems in the process of artificial scheduling for taxis, which include expensive labor cost, limited service time and concurrency, a new self-help taxi service schema is proposed. The schema is composed of mobile phone, intelligent server and taxis equipped with GPS. Based on the schema we designed a new system for summoning and scheduling taxis. In the system, three ways, including searching, GPS, electronic map, are available for passengers to locate themselves using mobile phones. And on the server side, we introduced Geographic Information System (GIS) and adopted the ant colony algorithm based on taxi drivers’ driving habits. As a result, passengers can get their locations easily with almost all kinds of mobile phones, and the server can identify passengers’ requests by itself and give a consistent route with the one adopted by taxi drivers. Finally, the system has the advantages of wide applicable scope, low labor cost, and large concurrency.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhou, X., Zhao, H., et al.: Taxi calling and scheduling system based on GPS. Comput. Eng. Des. 30(21), 4995–4997 (2009)
Suzhou Evening News. Changes of public transportation in Suzhou in the decade from 2002 to 2012. http://sz.xinhuanet.com/2012-08/14/c_112717193_3.htm
China Academy of Telecommunication Research of MIIT. The operational status of the domestic (China) mobile phone industry in August 2012. http://www.catr.cn/tegd/shchgch/201209/t20120911_847434.html
Li, X., Chen, Y., et al.: The application and web publishing techniques of address matching based on web services. Remote Sensing Information, vol. 5, pp. 56–59. Beijing (2006)
Guo, H., Song, G., et al.: Design and implementation of address geocoding system. Comput. Eng. 35(1), 250–252 (2009)
Sun, C., Zhou, S., et al.: Chinese geo-coding based on classification database of geographical names. J. Comput. Appl. 30(7), 1953–1955 (2010)
Zhou, S., Tang, B., et al.: The study of address tree coding based on the maximum matching algorithm in courier business. Commun. Comput. Inf. Sci. 113, 38–45 (2010)
Tang, L., Chang, X., Li, Q., et al.: Public travel route optimization based on ant colony optimization algorithm and taxi GPS data. China J. Highw. Transp. 24(2), 89–95 (2011)
Acknowledgments
The project was supported by the Fundamental Research Founds for National University-China University of Geosciences (Wuhan), under the grant 1210491B08.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this paper
Cite this paper
Liu, H., Xiong, J., Ding, Y. (2013). A New System for Summoning and Scheduling Taxis. In: Wong, W.E., Ma, T. (eds) Emerging Technologies for Information Systems, Computing, and Management. Lecture Notes in Electrical Engineering, vol 236. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7010-6_101
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7010-6_101
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-7009-0
Online ISBN: 978-1-4614-7010-6
eBook Packages: EngineeringEngineering (R0)