DocumentCode
3528889
Title
Analysis of mobility patterns for urban taxi cabs
Author
Hoque, Mohammad Asadul ; Hong, Xiaoyan ; Dixon, Brandon
Author_Institution
Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
fYear
2012
fDate
Jan. 30 2012-Feb. 2 2012
Firstpage
756
Lastpage
760
Abstract
This paper analyzes urban taxi mobility traces obtained from San Francisco Yellow cabs. The paper presents a rigorous analysis of taxi mobility pattern with the instantaneous velocity profile, spatio-temporal distribution, connectivity of vehicle communications, clustering, hotspots and other characteristics like trip duration and empty cruise interval. The empirical data analyses presented here can be a helpful resource for wireless researchers, government organizations, taxi companies and even for the drivers or passengers. While wireless researchers can estimate the capabilities and constraints of vehicular communication from connectivity and mobility patterns, government can plan and work on issues related to implementing proper DSRC infrastructure. Finally, taxi companies and drivers can benefit from maximizing the trip revenue and minimize empty cruise time though balanced load distribution and awareness of the hotspots.
Keywords
automobiles; data analysis; pattern clustering; traffic engineering computing; DSRC infrastructure; San Francisco yellow cabs; balanced load distribution; empirical data analyses; empty cruise interval; hotspots awareness; instantaneous velocity profile; spatio-temporal distribution; taxi mobility pattern analysis; trip duration; trip revenue; urban taxi cabs; urban taxi clustering; urban taxi hotspots; urban taxi mobility traces; vehicle communication connectivity; Biological system modeling; Companies; Global Positioning System; Real time systems; Time frequency analysis; Vehicles; Wireless communication; Clustering; Cruise time; Hotspot; Hotspots; Partitioning; V2V; connectivity; traffic trace;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Networking and Communications (ICNC), 2012 International Conference on
Conference_Location
Maui, HI
Print_ISBN
978-1-4673-0008-7
Electronic_ISBN
978-1-4673-0723-9
Type
conf
DOI
10.1109/ICCNC.2012.6167524
Filename
6167524
Link To Document