158
Views
3
CrossRef citations to date
0
Altmetric
Articles

Estimating freeway route travel time reliability from data on component links and associated cost implications

ORCID Icon, , , ORCID Icon &
Pages 414-430 | Received 23 May 2017, Accepted 29 Oct 2017, Published online: 16 Nov 2017

References

  • Al-Deek, H., & Emam, E. B. (2006). New methodology for estimating reliability in transportation networks with degraded link capacities. Journal of Intelligent Transportation Systems, 10, 117–129. doi: 10.1080/15472450600793586
  • Arezoumandi, M., & Bham, G. H. (2011, March 13–16). Travel time reliability estimation: Use of median travel time as measure of central tendency. In Proceedings of the first congress of transportation and development institute (TDI) (pp. 59–68). Chicago, IL: American Society of Civil Engineers.
  • Aron, M., Bhouri, N., & Guessous, Y. (2014). Estimating travel time distribution for reliability analysis. Transportation research arena (TRA) 5th conference: Transport solutions from research to deployment.
  • Bates, J., Polak, J., Jones, P., & Cook, A. (2001). The valuation of reliability for personal travel. Transportation Research Part E: Logistics and Transportation Review, 37(2), 191–229. doi: 10.1016/S1366-5545(00)00011-9
  • Belenky, P. (2011). The value of travel time: departmental guidance for conducting economic evaluations. Retrieved from http://www.dot.gov/sites/dot.dev/files/docs/vot_guidance_092811c.pdf
  • Brilon, W., Geistefeldt, J., & Regler, M. (2005). Reliability of freeway traffic flow: A stochastic concept of capacity. In Proceedings of the 16th international symposium on transportation and traffic theory (pp. 125–144). College Park, MD: Elsevier.
  • Cambridge, Systematics, Incorporated. (2011). SHRP2: analytical procedures for determining the impacts of reliability mitigation strategies. Report S2-L03-RR-1. Washington, DC: Transportation Research Board.
  • Cambridge, Systematics, Incorporated, & Kittelson and Associates. (2014). Florida DOT reliability model independent testing. Retrieved from http://www.dot.state.fl.us/planning/statistics/mobilitymeasures/Task11-ttr.pdf
  • Carrion, C., & Levinson, D. (2012). Value of travel time reliability: A review of current evidence. Transportation Research Part A: Policy and Practice, 46(4), 720–741.
  • Economic Development Research Group, Cambridge Systematics, Incorporated, ICF International, Texas A&M Transportation Institute, & Weris, Incorporated. (2013). Strategic highway research program (SHRP2) capacity research: Development of tools for assessing wider economic benefits of transportation. Report S2-C11-RW-1. Washington, DC: Transportation Research Board .
  • Eddington, R. (2006). The Eddington transport study, 2006. Retrieved from http://www.thepep.org/ClearingHouse/docfiles/Eddington.Transport.Study%20-%20Rod.pdf
  • Eisele, W. L., Naik, B., & Rilett, L. R. (2015). Estimating route travel time reliability from simultaneously collected link and route vehicle probe data and roadway sensor data. International Journal of Urban Sciences, 19(3), 286–304. doi: 10.1080/12265934.2015.1064778
  • Eisele, W. L., Schrank, D. L., & Fontaine, M. D. (2015). Preparing for MAP-21 system performance measures and target-setting requirements: Lessons learned in Virginia. Transportation Research Record: Journal of the Transportation Research Board, 2529, 1–9. doi: 10.3141/2529-01
  • Federal Highway Administration (FHWA). (2011). Summary of travel trends: 2009 national household travel survey. Report No. FHWA-PL-ll-022. Retrieved from http://nhts.ornl.gov/2009/pub/stt.pdf
  • Hellinga, B. (2011). Defining, measuring, and modeling transportation network reliability. Final report, Delft University of Technology, the Netherlands.
  • Hellinga, B., van Lint, H., & Hofman, F. (2012). The use of exogenously defined standard deviation versus mean travel time relationships for estimating the impact of policy measures on reliability. In Compendium of papers TRB 91st annual meeting. Washington, DC.
  • Lomax, T., Schrank, D. L., Turner, S., & Margiotta, R. (2003). Selecting travel reliability measures (Vol. 474, pp. 360–361). College Station, TX: Texas Transportation Institute.
  • Lorenz, M., & Elefteriadou, L. (2000). A probabilistic approach to defining freeway capacity and breakdown. In Proceedings of the 4th international symposium on highway capacity, Transportation Research Board (pp. 84–95). Washington, DC: Transportation Research Circular E-C018, Transportation Research Board, National Research Council.
  • Margiotta, R. (2011). SHRP2 project L03 – analytical procedures for determining the impacts of reliability mitigation strategies. A presentation made in TRB workshop 136, January 2011. Retrieved from http://www.internationaltransportforum.org/Proceedings/Reliability2011/Margiotta.pdf
  • Pu, W. (2011). Analytic relationships between travel time reliability measures. Transportation Research Record: Journal of the Transportation Research Board, 2254, 122–130. doi: 10.3141/2254-13
  • Rakha, H., El-Shawarby, I., Arafeh, M., & Dion, F. (2006). Estimating path travel-time reliability. In Intelligent transportation systems conference (pp. 236–241). Toronto: IEEE.
  • Susilawati, S., Taylor, M. A., & Somenahalli, S. V. (2013). Distributions of travel time variability on urban roads. Journal of Advanced Transportation, 47(8), 720–736. doi: 10.1002/atr.192
  • Taylor, M. A. (2012). Modelling travel time reliability with the Burr distribution. Procedia-Social and Behavioral Sciences, 54, 75–83. doi: 10.1016/j.sbspro.2012.09.727
  • Texas A&M Transportation Institute. (2014). The most congested roadways in Texas. Retrieved from http://mobility.tamu.edu/most-congested-texas
  • U.S. Department of Transportation. (2014). Revised departmental guidance on valuation of travel time in economic analysis. Retrieved from http://www.dot.gov/sites/dot.gov/files/docs/USDOT%20VOT%20Guidance%202014.pdf
  • van der Waard, J. (2010). Role of reliability in policy, system planning and investment decisions. Retrieved from http://internationaltransportforum.org/Proceedings/reliability/1-Waard.pdf
  • van Lint, J. W. C., van Zuylen, H. J., & Tu, H. (2008). Travel time unreliability on freeways: Why measures based on variance tell only half the story. Transportation Research Part A: Policy and Practice, 42(1), 258–277.
  • Wu, N., & Geistefeldt, J. (2014). Standard deviation of travel time in a freeway network-a mathematical quantifying tool for reliability analysis. In CICTP 2014@ safe, smart, and sustainable multimodal transportation systems (pp. 3292–3303). Changsha: ASCE.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.