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Articles

Estimating freeway travel time and its reliability using radar sensor data

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Pages 97-114 | Received 31 Oct 2015, Accepted 27 Apr 2017, Published online: 23 May 2017

References

  • Aksoy, G., and H. B. Celikoglu. 2012. “Modeling and Distribution of Link Travel Times: An Analysis on Istanbul Freeways.” Procedia-Social and Behavioral Sciences 54: 117–128. doi: 10.1016/j.sbspro.2012.09.731
  • Bertini, R. L., and S. Malik. 2004. “Observed Dynamic Traffic Features on Freeway Section with Merges and Diverges.” Transportation Research Record: Journal of the Transportation Research Board 1867 (1): 25–35. doi: 10.3141/1867-04
  • Bovy, P. H., and R. Thijs, eds. 2000. Estimators of Travel Time for Road Networks: New Developments, Evaluation Results, and Applications. Delft: Delft University Press.
  • Brilon, W., J. Geistefeldt, and M. Regler. 2005. “Reliability of Freeway Traffic Flow: A Stochastic Concept of Capacity.” Paper presented at the proceedings of the 16th international symposium on transportation and traffic theory, Vol. 125143. Maryland: College Park, July 19–21.
  • Castillo, E., A. Calviño, M. Nogal, and H. K. Lo. 2014. “On the Probabilistic and Physical Consistency of Traffic Random Variables and Models.” Computer-Aided Civil and Infrastructure Engineering 29 (7): 496–517. doi: 10.1111/mice.12061
  • Celikoglu, H. B. 2007. “A Dynamic Network Loading Process with Explicit Delay Modelling.” Transportation Research Part C: Emerging Technologies 15 (5): 279–299. doi: 10.1016/j.trc.2007.04.003
  • Celikoglu, H. B. 2013a. “Reconstructing Freeway Travel Times with a Simplified Network Flow Model Alternating the Adopted Fundamental Diagram.” European Journal of Operational Research 228 (2): 457–466. doi: 10.1016/j.ejor.2013.02.019
  • Celikoglu, H. B. 2013b. “Flow-based Freeway Travel-Time Estimation: A Comparative Evaluation Within Dynamic Path Loading.” IEEE Transactions on Intelligent Transportation Systems 14 (2): 772–781. doi: 10.1109/TITS.2012.2234455
  • Chase Jr., R. T., B. M. Williams, N. M. Rouphail, and S. Kim. 2012. “Comparing Reported Travel Times Between Temporally-Stitched and Simultaneous Methods at Various Aggregation Intervals.” Paper presented at the transportation research board 91st annual meeting (No. 12-0194), Washington, DC, January 22–26.
  • Chen, C., A. Skabardonis, and P. Varaiya. 2003. “Travel-time Reliability as a Measure of Service.” Transportation Research Record: Journal of the Transportation Research Board 1855 (1): 74–79. doi: 10.3141/1855-09
  • Coifman, B. 2002. “Estimating Travel Times and Vehicle Trajectories on Freeways Using Dual Loop Detectors.” Transportation Research Part A: Policy and Practice 36 (4): 351–364.
  • Daganzo, C. F. 1995. “Properties of Link Travel Time Functions Under Dynamic Loads.” Transportation Research Part B: Methodological 29 (2): 95–98. doi: 10.1016/0191-2615(94)00026-V
  • Deniz, O., G. Aksoy, and H. B. Celikoglu. 2013. “Analyzing Freeway Travel Times Within a Case Study: Reliability of Route Traversal Times.” 2013 16th international IEEE conference on intelligent transportation systems (ITSC), IEEE, 195–202, October 6–9.
  • Dong, J., C.-C. Lu, and H. S. Mahmassani. 2006. “How Reliable Is This Route?: Predictive Travel Time and Reliability for Anticipatory Traveler Information Systems.” Transportation Research Record: Journal of the Transportation Research Board 1980: 117–125. doi: 10.3141/1980-17
  • Dong, J., and H. S. Mahmassani. 2009. “Flow Breakdown and Travel Time Reliability.” Transportation Research Record: Journal of the Transportation Research Board 2124 (1): 203–212. doi: 10.3141/2124-20
  • Emam, E. B., and H. Al-Deek. 2006. “Using Real-Life Dual-Loop Detector Data to Develop new Methodology for Estimating Freeway Travel Time Reliability.” Transportation Research Record: Journal of the Transportation Research Board 1959 (1): 140–150. doi: 10.3141/1959-16
  • 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: Technology, Planning, and Operations 13 (1): 28–38. doi: 10.1080/15472450802644454
  • INRIX, “INRIX Interface Guide”. 2014. [Online]. Accessed 2015. http://trafficjam.to/downloads/INRIX_Dev_Guide.pdf.
  • Kesting, A., and M. Treiber. 2008. “Calculating Travel Times From Reconstructed Spatiotemporal Traffic Data.” Paper presented at the proceedings of the 4th international symposium networks for mobility, Stuttgart, September 25–26.
  • Kim, J., H. S. Mahmassani, and J. Dong. 2010. “Likelihood and Duration of Flow Breakdown.” Transportation Research Record: Journal of the Transportation Research Board 2188 (1): 19–28. doi: 10.3141/2188-03
  • Kwon, J., T. Barkley, R. Hranac, K. Petty, and N. Compin. 2011. “Decomposition of Travel Time Reliability into Various Sources.” Transportation Research Record: Journal of the Transportation Research Board, 2229: 28–33. doi: 10.3141/2229-04
  • Lei, H., X. Zhou, G. List, and J. Taylor. 2013. Predicting Corridor-level Travel Time Distributions Based on Stochastic Flow and Capacity Variations. Draft report. Washington, D.C.: Strategic Highway Research Program 2.
  • Li, R., G. Rose, and M. Sarvi. 2006. “Using Automatic Vehicle Identification Data to Gain Insight Into Travel Time Variability and its Causes.” Transportation Research Record: Journal of the Transportation Research Board 1945 (1): 24–32. doi: 10.3141/1945-03
  • Liu, H. X., and A. Danczyk. 2009. “Optimal Sensor Locations for Freeway Bottleneck Identification.” Computer-Aided Civil and Infrastructure Engineering 24 (8): 535–550. doi: 10.1111/j.1467-8667.2009.00614.x
  • Mori, U., A. Mendiburu, M. Álvarez, and J. A. Lozano. 2015. “A Review of Travel Time Estimation and Forecasting for Advanced Traveller Information Systems.” Transportmetrica A: Transport Science 11 (2): 119–157. doi: 10.1080/23249935.2014.932469
  • Newell, G. F. 1999. “Delays Caused by a Queue at a Freeway Exit Ramp.” Transportation Research Part B: Methodological 33 (5): 337–350. doi: 10.1016/S0191-2615(98)00039-3
  • Nie, X., and H. M. Zhang. 2005. “A Comparative Study of Some Macroscopic Link Models Used in Dynamic Traffic Assignment.” Networks and Spatial Economics 5 (1): 89–115. doi: 10.1007/s11067-005-6663-6
  • Oh, J.-S., and Y. Chung. 2006. “Calculation of Freeway Travel Time Variability from Loop Detector Data.” Transportation Research Record: Journal of the Transportation Research Board 1945: 12–23. doi: 10.3141/1945-02
  • Park, D., and L. R. Rilett. 1999. “Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network.” Computer-Aided Civil and Infrastructure Engineering 14 (5): 357–367. doi: 10.1111/0885-9507.00154
  • Richardson, A. J. 2003. “Travel Time Variability on an Urban Freeway. TUTI Report 25-2003.” Paper presented at the 25th conference of Australian Institutes of Transport Research (CAITR), University of Adelaide, Adelaide, Australia, December 3–5.
  • Soriguera, F., and F. Robusté. 2011a. “Highway Travel Time Accurate Measurement and Short-Term Prediction Using Multiple Data Sources.” Transportmetrica 7 (1): 85–109. doi: 10.1080/18128600903244651
  • Soriguera, F., and F. Robusté. 2011b. “Requiem for Freeway Travel Time Estimation Methods Based on Blind Speed Interpolations Between Point Measurements.” IEEE Transactions on Intelligent Transportation Systems 12 (1): 291–297. doi: 10.1109/TITS.2010.2095007
  • Susilawati, S., M. A. Taylor, and S. V. Somenahalli. 2010. “Travel Time Reliability Measurement for Selected Corridors in the Adelaide Metropolitan Area.” Journal of the Eastern Asia Society for Transportation Studies 8: 86–102.
  • Tam, M. L., and W. H. Lam. 2008. “Using Automatic Vehicle Identification Data for Travel Time Estimation in Hong-Kong.” Transportmetrica A: Transport Science 4 (3): 179–194. doi: 10.1080/18128600808685688
  • Tu, H., J. W. 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 (1): 59–66. doi: 10.3141/1993-09
  • Turochy, R. E., and B. L. Smith. 2002. “Measuring Variability in Traffic Conditions by Using Archived Traffic Data.” Transportation Research Record: Journal of the Transportation Research Board 1804 (1): 168–172. doi: 10.3141/1804-22
  • Vanajakshi, L. D. 2005. “Estimation and Prediction of Travel Time From Loop Detector Data for Intelligent Transportation Systems Applications.” Doctoral diss., Texas A&M University.
  • Vanajakshi, L. D., B. M. Williams, and L. R. Rilett. 2009. “Improved Flow-Based Travel Time Estimation Method from Point Detector Data for Freeways.” Journal of Transportation Engineering 135 (1): 26–36. doi: 10.1061/(ASCE)0733-947X(2009)135:1(26)
  • Van Arem, B., M. J. M. Van Der Vlist, M. R. Muste, and S. A. Smulders. 1997. “Travel Time Estimation in the GERDIEN Project.” International Journal of Forecasting 13 (1): 73–85. doi: 10.1016/S0169-2070(96)00702-9
  • Van Lint, J. W. C., and N. J. Van Der Zijpp. 2003. “An Improved Travel-Time Estimation Algorithm Using Dual Loop Detectors.” Transportation Research Record: Journal of the Transportation Research Board 1855: 41–48. doi: 10.3141/1855-05
  • Van Lint, J. W., and H. J. Van Zuylen. 2005. “Monitoring and Predicting Freeway Travel Time Reliability: Using Width and Skew of day-to-day Travel Time Distribution.” Transportation Research Record: Journal of the Transportation Research Board 1917 (1): 54–62. doi: 10.3141/1917-07
  • Vlahogianni, E. I., M. G. Karlaftis, and J. C. Golias. 2014. “Short-term Traffic Forecasting: Where we are and Where We’re Going.” Transportation Research Part C: Emerging Technologies 43: 3–19. doi: 10.1016/j.trc.2014.01.005
  • Zhang, W. 2006. “Freeway Travel Time Estimation Based on Spot Speed Measurements.” Doctoral diss., Virginia Polytechnic Institute and State University.
  • Zou, Y., X. Zhu, Y. Zhang, and X. Zeng. 2014. “A Space–Time Diurnal Method for Short-Term Freeway Travel Time Prediction.” Transportation Research Part C: Emerging Technologies 43: 33–49. doi: 10.1016/j.trc.2013.10.007

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