Modeling Transit Trip Time Using Archived Bus Dispatch System Data
Publication: Journal of Transportation Engineering
Volume 130, Issue 1
Abstract
Transit travel time and operating speed influence service attractiveness, operating cost, and system efficiency. The objective of this paper is to estimate the values of parameters that affect the total travel time for a particular bus route in Portland, Oregon. The Metropolitan Transportation District of Oregon (TriMet) provides transit service in the three-county Portland metropolitan area. TriMet has implemented a Bus Dispatch System (BDS) as a part of its overall service control and management system. This BDS provides a rich array of archived data that were used in this study to develop the trip time model for the route under study. This trip time model provides heightened understanding of the factors that affect the trip time on the route. The value of the model was revealed when sensitivity analyses were performed using data from the studied route. This analysis concluded that improvements can be readily achieved after understanding the factors that affect total trip time. Finally, some conclusions and recommendations are presented and suggestions for additional research are provided.
Get full access to this article
View all available purchase options and get full access to this article.
References
Chien, S. I., Chowdhury, S. M., Mouskos, K. C., and Ding, Y.(2000). “Enhancements of CORSIM model in simulating transit operations.” J. Transp. Eng., 126(5), 396–404.
Kimpel, T. J. (2001). “Time point level analysis for transit service reliability and passenger demand.” Special report, Center for Urban Studies, Portland State Univ., Portland, Ore.
Levinson, H. S. (1983). “Analyzing transit travel time performance.” Transportation Research Record No. 915, Transportation Research Board, Washington, D.C., 1–6.
National Cooperative Highway Research Program (NCHRP). (1999). “Multimodal transportation: Development of a performance-based planning process.” NCHRP Project No. 8-32(2), Cambridge Systematics, Inc., Oakland, Calif.
Newell, G. F. (1995). “Lecture notes on public transportation.” Dept. of Civil Engineering, University of California, Berkeley, Calif.
Saka, A. A.(2001). “Model for determining optimum bus-stop spacing in urban areas.” J. Transp. Eng., 127(3), 195–199.
Strathman, J. G., Kimpel, T. J., and Dueker, K. J. (1999). “Automated bus dispatching, operations control and service reliability.” Transportation Resesearch Record No. 1666, Transportation Research Board, Washington, D.C., 28–36.
Strathman, J. G., Kimpel, T. J., Dueker, K. J., Gerhart, R. L., Turner, K., Griffin, D., and Callas, S.(2001). “Bus transit operation control: Review and an experiment involving Tri-Met’s automated bus dispatching system.” J. Public Transp.,4(1), 1–26.
Strathman, J. G., Kimpel, T. J., Dueker, K. J., Gerhart, R. L., Turner, K., Taylor, G., and Griffin, D.(2000). “Service reliability impacts of computer-aided dispatching and automatic vehicle location technology: A case Tri-Met case study.” Transp. Q., 54(3), 85–102.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 130 • Issue 1 • January 2004
Pages: 56 - 67
Copyright
Copyright © 2004 American Society of Civil Engineers.
History
Received: May 16, 2002
Accepted: Feb 6, 2003
Published online: Dec 15, 2003
Published in print: Jan 2004
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.