ChangiNOW: A mobile application for efficient taxi allocation at airports
Name
Rus_changiNOW.pdf
Size
2.06 MB
Format
Adobe PDF
Checksum (MD5)
26a70b03ce044e54eee77593d04412ac
Author(s)
Volkov, Mikhail
Anwar, Afian Khairil
Rus, Daniela L
Date Issued
October 2013
Journal
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Anwar, Afian, Mikhail Volkov, and Daniela Rus. “ChangiNOW: A Mobile Application for Efficient Taxi Allocation at Airports.” 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) (October 2013).
Version
Author's final manuscript
Abstract
We present an application that uses a predictive queueing model to efficiently allocate taxis. The system uses observed taxi and flight data at each of the four terminals of Singapore's Changi Airport to estimate the expected waiting time and queue length for taxis arriving at these terminals, and then sends taxis to terminals where demand is highest. We propose a service model that enables our system to be deployed on a smartphone platform to participating taxi drivers. We present the theoretical details which underpin our prediction engine and corroborate our theory with several targeted numerical simulations. Finally, we evaluate the performance of this system in large-scale experiments and show that our system achieves a significant improvement in both passenger and taxi waiting time.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. School of Engineering
Singapore-MIT Alliance in Research and Technology (SMART)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ITSC.2013.6728312
