Generic vehicle speed models based on traffic simulation: Development and application

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This paper summarizes the findings of a research project to develop new methods of estimating speeds for inclusion in the Highway Performance Monitoring System (HPMS) Analytical Process. The paper focuses on the effects of traffic conditions excluding incidents (recurring congestion) on daily average ed and excess fuel consumption. A review of the literature revealed that many techniques have been used to predict speeds as a function of congestion but most fail to address the effects of queuing. However, the method of Dowling and Skabardonis avoids this limitation and was adapted to the research. The methodology used the FRESIM and NETSIM ... continued below

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27 p.

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Margiotta, R.; Cohen, H.; Elkins, G.; Rathi, A. & Venigalla, M. December 15, 1994.

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Description

This paper summarizes the findings of a research project to develop new methods of estimating speeds for inclusion in the Highway Performance Monitoring System (HPMS) Analytical Process. The paper focuses on the effects of traffic conditions excluding incidents (recurring congestion) on daily average ed and excess fuel consumption. A review of the literature revealed that many techniques have been used to predict speeds as a function of congestion but most fail to address the effects of queuing. However, the method of Dowling and Skabardonis avoids this limitation and was adapted to the research. The methodology used the FRESIM and NETSIM microscopic traffic simulation models to develop uncongested speed functions and as a calibration base for the congested flow functions. The chief contributions of the new speed models are the simplicity of application and their explicit accounting for the effects of queuing. Specific enhancements include: (1) the inclusion of a queue discharge rate for freeways; (2) use of newly defined uncongested flow speed functions; (3) use of generic temporal distributions that account for peak spreading; and (4) a final model form that allows incorporation of other factors that influence speed, such as grades and curves. The main limitation of the new speed models is the fact that they are based on simulation results and not on field observations. They also do not account for the effect of incidents on speed. While appropriate for estimating average national conditions, the use of fixed temporal distributions may not be suitable for analyzing specific facilities, depending on observed traffic patterns. Finally, it is recommended that these and all future speed models be validated against field data where incidents can be adequately identified in the data.

Physical Description

27 p.

Notes

OSTI as DE96004384

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  • 74. annual meeting of the Transportation Research Board, Washington, DC (United States), 23-27 Jan 1995

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  • Other: DE96004384
  • Report No.: CONF-9501116--1
  • Grant Number: AC05-84OR21400
  • Office of Scientific & Technical Information Report Number: 195777
  • Archival Resource Key: ark:/67531/metadc671753

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • December 15, 1994

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  • June 29, 2015, 9:42 p.m.

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  • Jan. 22, 2016, 11:10 a.m.

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Margiotta, R.; Cohen, H.; Elkins, G.; Rathi, A. & Venigalla, M. Generic vehicle speed models based on traffic simulation: Development and application, article, December 15, 1994; Tennessee. (digital.library.unt.edu/ark:/67531/metadc671753/: accessed November 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.