To Taxi or Not to Taxi? - Enabling Personalised and Real-Time Transportation Decisions for Mobile Users

We demonstrate a system that monitors the taxi availability at taxi stands by mining real-time taxi trajectory data streams. The system includes a server-side trajectory data stream processing and mining program and a client-side mobile application for Android smart phones. The server program continuously monitors for each taxi stand the numbers of taxis queueing at the taxi stand, the numbers of taxis that will pass the taxi stand, as well as the traffic conditions in the area around the stand. It delivers real time taxi and traffic information to mobile users via Restful web services. The client-side location-based mobile application consumes these services to help mobile users make informed transportation choices. For example the availability of taxis might yet be a deterrent when traffic is congested. Real world taxi trajectory data from more than 14000 taxis are used in the demo.

[1]  Antonin Guttman,et al.  R-trees: a dynamic index structure for spatial searching , 1984, SIGMOD '84.

[2]  Xing Xie,et al.  Where to find my next passenger , 2011, UbiComp '11.

[3]  Ralf Hartmut Güting,et al.  A New Approach for Spatiotemporal Pattern Queries in Trajectory Databases , 2010, 2010 Eleventh International Conference on Mobile Data Management.

[4]  Nuno,et al.  Exploratory Study of Urban Flow using Taxi Traces , 2011 .

[5]  Jae-Gil Lee,et al.  MoveMine: mining moving object databases , 2010, SIGMOD Conference.

[6]  Xing Xie,et al.  A greener transportation mode: flexible routes discovery from GPS trajectory data , 2011, GIS.

[7]  Jianliang Xu,et al.  A generic framework for monitoring continuous spatial queries over moving objects , 2005, SIGMOD '05.

[8]  Xing Xie,et al.  Drive Smartly as a Taxi Driver , 2010, 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing.

[9]  Guangzhong Sun,et al.  Driving with knowledge from the physical world , 2011, KDD.