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Taxi service strategies, as the crowd intelligence of massive taxi drivers, are hidden in their historical time-stamped GPS traces. Mining GPS traces to understand the service strategies of skilled taxi drivers can benefit the drivers themselves, passengers, and city planners in a number of ways. This paper intends to uncover the efficient and inefficient taxi service strategies based on a large-scale GPS historical database of approximately 7600 taxis over one year in a city in China. First, we separate the GPS traces of individual taxi drivers and link them with the revenue generated. Second, we investigate the taxi service strategies from three perspectives, namely, passenger-searching strategies, passenger- delivery strategies, and service-region preference. Finally, we represent the taxi service strategies with a feature matrix and evaluate the correlation between service strategies and revenue, informing which strategies is efficient or inefficient.

Existing System	Proposed System
In existing system, call taxi booking is done by making call.    There is no existing system for automatic call taxi booking.       Drawbacks of existing system:      Manual error may occur.      Slow response	In this proposed system, we are going to design an automatic call taxi booking system using GSM technology. Ø This system automatically sends the booking status as a SMS (Short message service).   Advantage of proposed system:      Fast response     Low cost