Modeling the Influence of the Light Rail Transit System on Traffic Operational Performance before and after It Is in Operation
Publication: International Conference on Transportation and Development 2021
ABSTRACT
This research focuses on exploring features in a microscopic traffic simulation software to model and assess the influence of light rail transit (LRT) system before it is built, during the testing phase, and after it is in operation on traffic operational performance measures at intersections. A 2.5-mi urban arterial road in the city of Charlotte, North Carolina, was chosen for modeling and assessment in this research. The selected corridor, along N. Tryon St. from Mallard Creek Church Rd. to University City Blvd., has eight signalized intersections. Vissim traffic simulation software was used to develop simulation models and generate traffic operational performance measures such as vehicle delay, queue length, and level of service (LOS) and examine the influence at selected intersections on the study corridor. The results indicate there is an increase in vehicle delay along minor streets with a decrease in vehicle delay along the major streets parallel to the LRT route after it is in operation.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Chandler, C., and Hoel, L. A. (2004). “Effects of light rail transit on traffic congestion.”. Charlottesville, VA: Center for Transportation Studies, University of Virginia.
Clark, R. R. (1984). “General guidelines for the design of light rail transit facilities in Edmonton.” Edmonton, Alberta, Canada. <www.trolleycoalition.org> (April 26, 2018).
FHWA. (2010). “Access management in the vicinity of intersections.”, Washington, DC.
Garrett, T. A. (2004). “Light rail transit in America: Policy issues and prospects for economic development.”, Federal Reserve Bank of St. Louis, Research Department.
Gomes, G., May, A., and Horowitz, R. (2004). “Congested freeway microsimulation model using Vissim.” Transportation Research Record, 1876(1), 71–81.
Hu, J., Park, B. B., and Lee, Y. J. (2015). “Coordinated transit signal priority supporting transit progression under connected vehicle technology.” Transportation Research Part C: Emerging Technologies, 55, 393-408.
Huang, F., Liu, P., Yu, H., and Wang, W. (2013). “Identifying if VISSIM simulation model and SSAM provide reasonable estimates for field measured traffic conflicts at signalized intersections.” Accident Analysis & Prevention, 50, 1014-1024.
Knowles, R. D. (1992). “Light rail transport.” In Whitelegg, J. (Ed.), Traffic Congestion: Is There a Way Out? Leading Edge Press & Publishing Ltd., Hawes, 107–130.
Linda, S. T. E. G. (2003) “Can public transport compete with the private car?” IATSS Research, 27(2), 27–35.
Mosseri, G. M., Hall, M. A., and Meyers, J. J. (2004). “Vissim micro-simulation modeling of complex geometry and traffic control: A case study of Ocean Parkway, NY.” In ITE 2004 Annual Meeting and Exhibit Institute of Transportation Engineers (ITE), Lake Buena Vista, FL, August 1-4.
Ngan, V., Sayed, T., and Abdelfatah, A. (2004). “Impacts of various parameters on transit signal priority effectiveness.” Journal of Public Transportation, 7(3), 71-93.
PTV. (2019). Vissim 11.00 User Manual. Karlsruhe, Germany.
Ratrout, N. T., and Rahman, S. M. (2009). “A comparative analysis of currently used microscopic and macroscopic traffic simulation software.” The Arabian Journal for Science and Engineering, 34(1B), 121-133.
Smith, H. R., Hemily, B., and Ivanovic, M. (2005). Transit signal priority (TSP): A planning and implementation handbook. ITS America, United States Department of Transportation, Washington, DC.
Souleyrette, R., and Hochstein, J. (2012). “Development of a conflict analysis methodology using SSAM.” In, Iowa State University, IA.
Wisconsin Department of Transportation. (2018). “Vissim calibration settings.” <https://wisconsindot.gov/dtsdManuals/traffic-ops/manuals-and-standards/teops/16-20att6.3.pdf> (November 20, 2019).
Yedlin, M., and Lieberman, E. B. (1981). “Analytic and simulation studies of factors that influence bus-signal-priority strategies (Abridgment).” Transportation Research Record, 798, 26-29.
Young, J. (2015). “Infrastructure: Mass transit in 19th-and 20th-Century urban America.” In Oxford Research Encyclopedia of American History.
Zlatkovic, M., Martin, P. T., and Stevanovic, A. (2011). “Predictive priority for light rail transit: University light rail line in Salt Lake County, Utah.” Transportation Research Record, 2259(1), 168-178.
Information & Authors
Information
Published In
Copyright
© 2021 American Society of Civil Engineers.
History
Published online: Jun 4, 2021
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.
Cited by
- Swapneel R. Kodupuganti, Srinivas S. Pulugurtha, Modeling Safety Performance of Urban Roads with Heterogeneous Traffic Conditions, International Conference on Transportation and Development 2022, 10.1061/9780784484333.018, (197-208), (2022).