46
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Travel time reliability evaluation using fuzzy-possibility approach: a case study of an Indian city

, , & ORCID Icon
Received 29 Jan 2024, Accepted 05 Apr 2024, Published online: 12 Apr 2024

References

  • Al-Deek, H. M., and B. E. Emama. 2006. “Computing Travel Time Reliability in Transportation Networks with Multistates and Dependent Link Failures.” Journal of Computing in Civil Engineering 20 (5): 317.
  • Alomari, A., A. Al-Omari, and W. Aljizawi. 2022. “Evaluation of Travel Time Reliability in Urban Areas Using Mobile Navigation Applications in Jordan.” Journal of Applied Engineering Science 20 (3): 644–656. https://doi.org/10.5937/jaes0-35118.
  • Asakura, Y. 1996. “Reliability Measures of an Origin and Destination Pair in a Deteriorated Road Network with Variable Flows.” Transportation Networks: Recent Methodological Advances, Proc., 4th EURO Transportation Meeting, Newcastle, England, 273–287.
  • Asakura, Y., and M. Kashiwadani. 1991. “Road Network Reliability Caused by Daily Fluctuation of Traffic Flow.” Proc., 19th PTRC Summer Annual Meeting, Brighton, 73–84.
  • Baccou, J., and E. Chojnacki. 2009. “Combining Probability and Possibility to Respect the Real State of Knowledge on Uncertainties in the Evaluation of Safety Margins.” Proc., ENBISIEMSE Conference Design and Analysis of Computer Experiments Saint-Etienne, France.
  • Banik, S., B. A. Kumar, and L. Vanajakshi. 2022. Stream Travel Time Reliability Using GPS-Equipped Probe Vehicles. Current Science, 1107–1116.
  • Boyles, S. D., A. Voruganti, and S. T. Waller. 2010. Quantifying Travel Time Variability in Transportation Networks. Austin, Texas, USA: Southwest Region University Transportation Center, Center for Transportation Research, University of Texas at Austin.
  • Chen, P., H. Liu, Q. I. Hong-sheng, and F. Wang. 2013. “Analysis of Delay Variability at Isolated Signalized Intersections.” Journal of Zhejiang University SCIENCE A 14 (10): 691–704. https://doi.org/10.1631/jzus.A1300208.
  • Chen, A., and Z. Zhou. 2010. “The α-Reliable Mean-Excess Traffic Equilibrium Model with Stochastic Travel Times.” Transportation Research Part B: Methodological 44 (4): 493–513. https://doi.org/10.1016/j.trb.2009.11.003.
  • Dell’Orco, M., and S. Kikuchi. 2004. “An Alternative Approach for Choice Models in Transportation: Use of Possibility Theory for Comparison of Utilities.” Yugoslav Journal of Operations Research 14: 1–17. https://doi.org/10.2298/YJOR0401001D.
  • Dubois, D., and H. Prade. 1980. Fuzzy Sets Theory and Systems: Theory and Applications. San Diego: Academic Press.
  • FHWA. 2009. Travel Time Reliability: Making it There on Time, all the Time. Texas Transportation Institute and Cambridge Systems, Inc.
  • Fosgerau, M. 2016. The Valuation of Travel Time Variability (No. 2016/04). OECD Publishing.
  • Fosgerau, M., and D. Fukuda. 2012. “Valuing Travel Time Variability: Characteristics of the Travel Time Distribution on an Urban Road.” Transportation Research Part C: Emerging Technologies 24: 83–101. https://doi.org/10.1016/j.trc.2012.02.008.
  • Fredriksson, H., J. Holmgren, M. Dahl, and B. Lövström. 2023. “A Median-Based Misery Index for Travel Time Reliability.” Procedia Computer Science 220: 162–169. https://doi.org/10.1016/j.procs.2023.03.023.
  • Fu, L., and B. Hellinga. 2000. “Delay Variability at Signalized Intersections.” Transportation Research Record: Journal of the Transportation Research Board 1710: 215–221. https://doi.org/10.3141/1710-25.
  • Gaonkar, R. S. P., A. V. Nigalye, and S. P. Pai. 2020. “Possibilistic Approach for Travel Time Reliability Evaluation.” International Journal of Mathematical, Engineering and Management Sciences 6 (1): 223. https://doi.org/10.33889/IJMEMS.2021.6.1.014.
  • Government of Gujarat. 2024. District at a glance | District Surat, Government of Gujarat | India. (n.d.). Retrieved 9 April 2024, from https://surat.nic.in/district-at-a-glance/.
  • Higatani, A., T. Kitazawa, J. Tanabe, Y. Suga, R. Sekhar, and Y. Asakura 2009. “Empirical analysis of travel time reliability measures in Hanshin expressway network.” Journal of Intelligent Transportation Systems 13 (1): 28–38.
  • Iida, Y. 1999. “Basic Concepts and Future Directions of Road Network Reliability Analysis.” Journal of Advanced Transportation 33 (2): 125–134. https://doi.org/10.1002/atr.5670330203.
  • IRC: 106. 1990. “Guidelines for Capacity of Urban Roads in Plain Areas.” The Indian Road Congress, New Delhi.
  • Jenelius, E., and H. N. Koutsopoulos. 2013. “Travel Time Estimation for Urban Road Networks Using low Frequency Probe Vehicle Data.” Transportation Research Part B: Methodological 53: 64–81. https://doi.org/10.1016/j.trb.2013.03.008.
  • Khosravi, A., E. Mazloumi, S. Nahavandi, D. Creighton, and J. W. C. Van Lint. 2011. “Prediction Intervals to Account for Uncertainties in Travel Time Prediction.” IEEE Transactions on Intelligent Transportation Systems 12 (2): 537–547. https://doi.org/10.1109/TITS.2011.2106209.
  • Kidando, E., R. Moses, T. Sando, and E. E. Ozguven. 2019. “Assessment of Factors Associated with Travel Time Reliability and Prediction: An Empirical Analysis Using Probabilistic Reasoning Approach.” Transportation Planning and Technology 42 (4): 309–323. https://doi.org/10.1080/03081060.2019.1600239.
  • Kieu, L. M., A. Bhaskar, and E. Chung. 2015. “Public Transport Travel-Time Variability Definitions and Monitoring.” Journal of Transportation Engineering 141 (1): 04014068. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000724.
  • Kikuchi, S., and P. Chakroborty. 2006. “Place of Possibility Theory in Transportation Analysis.” Transportation Research Part B: Methodological 40: 595–615. https://doi.org/10.1016/j.trb.2005.09.001.
  • Leng, J., Y. Feng, Y. Zhang, and Y. He. 2012. “Development and Usage of Travel Time Reliability Model for Urban Road Network Under Ice and Snowfall Conditions.” Promet – Traffic & Transportation 24 (5): 395–403.
  • Li, R., H. Chai, and J. Tang. 2013. Empirical Study of Travel Time Estimation and Reliability. Hindawi Publishing Corporation Mathematical Problems in Engineering.
  • Lint, van J. W. C., van H. J. Zulyan, and H. Tu. 2008. “Travel Time Unreliability on Freeways: Why Measures Based on Variance Tell Only Half The Story.” Transportation Research Part A 42: 258–277.
  • Lint van, J., and H. Zulyen van. 2005. “Monitoring and Predicting Travel Time Reliability: Using Width and Skew of Day-To-Day Travel Time Distribution.” Transportation Research Record: Journal of the Transportation Research Board 1917: 54–62. https://doi.org/10.1177/0361198105191700107.
  • Lomax, T., D. Schrank, and S. Turner. 2003. Selecting Travel Reliability Measures. USA: Texas Transportation Institute, Richard Margiotta, Cambridge Systematics, Inc.
  • Marinelli, M., and M. Dell’Orco. 2014. “Modelling Drivers’ Route Choice Behaviour Through Possibility Theory Using Driving Simulator.” Poc., The Sixth International Conference on Advances in System Simulation, Nice France.
  • Mazloumi, Ehsan, Geoff Rose, Graham Currie, and Majid Sarvi. 2011. “An Integrated Framework to Predict bus Travel Time and its Variability Using Traffic Flow Data.” Journal of Intelligent Transportation Systems 15 (2): 75–90. https://doi.org/10.1080/15472450.2011.570109.
  • McLeod, F. N., N. B. Hounsell, and R. S. Bain. 1993. Highway Reliability Supply Effects. University of Southampton, Transportation Research Group, UK.
  • Mehran, B., and H. Nakamura. 2009. “Considering Travel Time Reliability and Safety for Evaluation of Congestion Relief Schemes on Expressway Segment.” IATSS Research 33 (1): 55–70. https://doi.org/10.1016/S0386-1112(14)60237-5.
  • Mohammadi, S., A. Olivier, and A. Smyth. 2023. “Probabilistic Prediction of Trip Travel Time and Its Variability Using Hierarchical Bayesian Learning.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 9 (2): 04023011. https://doi.org/10.1061/AJRUA6.RUENG-981.
  • Olivier, A., S. Mohammadi, A. W. Smyth, and M. Adams. 2023. “Bayesian neural networks with physics-aware regularization for probabilistic travel time modeling.” Computer-Aided Civil and Infrastructure Engineering.
  • Ottomanelli, M., M. Dell’Orco, and D. Sassanelli. 2011. “Modelling Parking Choice Behaviour Using Possibility Theory.” Transportation Planning and Technology 34 (7): 647–667. https://doi.org/10.1080/03081060.2011.602846.
  • Patel, D. A., and K. N. Jha. 2017. “Developing a Process to Evaluate Construction Project Safety Hazard Index Using the Possibility Approach in India.” Journal of Construction Engineering Management, https://doi.org/10.1061/(ASCE)CO.1943-7862.0001205.
  • Polus, A. 1979. “A Study of Travel Time and Reliability on Arterial Routes.” Transportation 8 (1): 141–151. https://doi.org/10.1007/BF00167196.
  • Ravi Sekhar, C., and Y. Asakura. 2014. “Modelling Travel Time Distribution Under Various Uncertainties on Hanshin Expressway of Japan.” European Transport Research Review 6 (1): 85–92. https://doi.org/10.1007/s12544-013-0111-3.
  • Ravi Shekhar, C., I. Takamasa, and Y. Asakura. 2012. “Analysis of Travel-Time Variation Over Multiple Sections of Hanshin Expressway in Japan.” Current Science 102 (11): 1527–1533.
  • Saw, K., B. Katti, and G. Joshi. 2018. “Vehicle Movement Mechanism and Delay Variability Analysis at Signalized Intersection by Probe Vehicle Data Under Mixed Traffic Condition: A Case Study in India.” European Transport/Transport Europei 68: 1–14.
  • Saw, K., B. K. Katti, G. J. Joshi, and A. Kedia. 2023. “Modelling Commuters’ Travel Time Perception on an Urban Corridor Using the Fuzzy Logic Technique: A Case Study of Surat, India.” European Transport/Transport Europei 95: 1–18.
  • Shafer, G. 1992. “Dempster-Shafer Theory.” Encyclopedia of Artificial Intelligence 1: 330–331.
  • Sheriff, Md., and A. K. McCowan. 2001. “Modelling Project Investment Decisions Under Uncertainty Using Possibility Theory.” International Journal of Project Management 19: 231–241.
  • Smets, P. 1998. “Theories of Uncertainty.” In Handbook of Fuzzy Computation, edited by R. E. Ruspini, P. P. Bonissone, and W. Pedrycz, 1.2.1–1.2.9. Bristol and Philadelphia: Institute of Physics Publishing.
  • Susilawati, M. A. P. Taylor, and S. Sekhar. 2011. “Modelling Urban Travel Time Variability with the Burr Regression Technique.” Proc., Australasian Transport Research Forum, Adelaide, Australia.
  • Susilawati, S., M. Taylor, and S. Somenahalli. 2011. Modelling urban travel time variability with the Burr regression technique (Doctoral dissertation, University of South Australia and South Australian Department of Transport, Energy and Infrastructure).
  • Symonds, J. 2016. Analysis of Travel Times on Local ‘A’ Roads. England.
  • Tu, H., J. W. C. Van Lint, and H. J. Van Zuylen. 2007. “Impact of Traffic Flow on Travel Time Variability of Freeway Corridors.” Transportation Research Record: Journal of the Transportation Research Board 1993: 59–66. https://doi.org/10.3141/1993-09.
  • Zadeh, L. A. 1978. “Fuzzy Sets as a Basis for a Theory of Possibility.” Fuzzy Sets and Systems 1: 3–28. https://doi.org/10.1016/0165-0114(78)90029-5.
  • Zang, Z., R. Batley, X. Xu, and D. Z. Wang. 2022. On the value of distribution tail in the valuation of travel time variability. arXiv preprint arXiv:2207.06293.
  • Zang, Z., X. Xu, K. Qu, R. Chen, and A. Chen. 2022. “Travel time reliability in transportation networks: A review of methodological developments.” Transportation Research Part C: Emerging Technologies 143: 103866.
  • Zimmermann, H. J. 2000. “An Application-Oriented View of Modeling Uncertainty.” European Journal of Operational Research 122: 190–198. https://doi.org/10.1016/S0377-2217(99)00228-3.

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.