DocumentCode :
1155560
Title :
MyBus: helping bus riders make informed decisions
Author :
Maclean, Stuart D. ; Dailey, Daniel J.
Author_Institution :
Washington Univ., Seattle, WA, USA
Volume :
16
Issue :
1
fYear :
2001
Firstpage :
84
Lastpage :
87
Abstract :
The Smart Trek Model Deployment Initiative, a US Department of Transportation-funded intelligent transportation systems program in the Puget Sound region, has made great strides in integrating and disseminating traveler information. The initiative focuses on real time information to help travelers make informed decisions about their travel options. The Smart Trek project has brought about a variety of real time transit information applications. One of these is MyBus, which makes departure predictions and delivers traveler information to Web browsers and cell phones. MyBus aims to present to riders, in real time, the predicted departure times of buses at specific locations throughout a transit region. King County Metro, Seattle´s transit agency, operates a large fleet. Up to 1200 vehicles are in service simultaneously, departing from over 1000 locations. MyBus predicts approximately 210000 weekday and 140000 weekend scheduled departure events. This is over a million departure predictions per week. MyBus has shown that predictions on this scale are feasible and manageable. Several technologies are central to the success of MyBus. A common format for the transit agency schedule and spatial data was crucial, letting us redeploy the Seattle pilot project with data from the Portland Tri-Met transit agency with minimal effort. The format we chose was a database schema based directly on the Transit Communications Interface Profiles standards.
Keywords :
information resources; real-time systems; road vehicles; scheduling; transportation; travel industry; King County Metro; MyBus; Portland Tri-Met transit agency; Puget Sound region; Seattle pilot project; Smart Trek Model Deployment Initiative; Smart Trek project; Transit Communications Interface Profiles standards; US Department of Transportation; Web browsers; bus riders; cell phones; database schema; informed decisions; intelligent transportation systems program; real time information; real time transit information applications; scheduled departure events; spatial data; transit agency; transit region; travel options; traveler information; Access protocols; Collaboration; Intelligent transportation systems; Large-scale systems; Performance analysis; Prediction algorithms; Real time systems; Transport protocols; Vehicles; Web server;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2001.1183341
Filename :
1183341
Link To Document :
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