International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 129

India | Computer Science Engineering | Volume 5 Issue 5, May 2016 | Pages: 617 - 621


Real Time Based Recommendation System for Taxi Ride Sharing

Amruta N. Deshmukh, K. K. Chhajed

Abstract: In todays fast moving world, people face numerous problems associated in getting a taxi in one or more ways like waiting time, higher taxi fares etc. With the help of taxi sharing system, the issues pertaining to getting a taxi and waiting for a taxi are resolved at a better level. The passengers as well as taxi drivers are benefited by implementing the taxi sharing system. Furthermore this system facilitates sustainable development through saving energy consumption and suffices passenger transport. In this project, further restructuring of the taxi sharing system has been done in order to get the optimum benefits such as, incorporating the credibility of taxi drivers and riders into the taxi searching and scheduling, preference to regular customers & introducing social constraints, such as gender preference, habits preference. Ex some people may refer co- passenger who do not smoke

Keywords: Spatial databases, taxi-sharing, ridesharing, urban computing, intelligent transportation systems



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