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Travel-time estimation using cross-correlation techniques

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  • Dailey, D. J.

Abstract

This paper demonstrates the viability of using cross-correlation techniques with inductance loop data to measure the propagation time of traffic. The propagation time between loops separated by 0.5 miles is measured by using time-average activation counts ("volume") from inductance loops. The resulting time delay is used to estimate the mean speed. This independent speed estimate can be used to improve the volume/occupancy ratio estimate of speed from single loops.

Suggested Citation

  • Dailey, D. J., 1993. "Travel-time estimation using cross-correlation techniques," Transportation Research Part B: Methodological, Elsevier, vol. 27(2), pages 97-107, April.
    • Handle: RePEc:eee:transb:v:27:y:1993:i:2:p:97-107
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    1. Hu, Zejing & Smirnova, M.N. & Zhang, Yongliang & Smirnov, N.N. & Zhu, Zuojin, 2021. "Estimation of travel time through a composite ring road by a viscoelastic traffic flow model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 501-521.
    2. Sun, Lu & Yang, Jun & Mahmassani, Hani, 2008. "Travel time estimation based on piecewise truncated quadratic speed trajectory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 173-186, January.
    3. Coifman, Benjamin Andre, 1998. "Vehicle Reidentification and Travel Time Measurement Using Loop Detector Speed Traps," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5d69n86x, Institute of Transportation Studies, UC Berkeley.
    4. Hounsell, Nick B. & Ishtiaq, Saeed, 1997. "Journey time forecasting for dynamic route guidance systems in incident conditions," International Journal of Forecasting, Elsevier, vol. 13(1), pages 33-42, March.
    5. Coifman, Benjamin & Varaiya, Pravin, 2002. "Deployment and Evaluation of Real-Time Vehicle Reidentification from an Operations Perspective," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6tp5w2gt, Institute of Transportation Studies, UC Berkeley.
    6. Agafonov, Evgeny & Bargiela, Andrzej & Burke, Edmund & Peytchev, Evtim, 2009. "Mathematical justification of a heuristic for statistical correlation of real-life time series," European Journal of Operational Research, Elsevier, vol. 198(1), pages 275-286, October.
    7. Coifman, Benjamin & Varaiya, Pravin, 2002. "Improving Operations Using Advanced Surveillance Metrics and Existing Traffic Detectors," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1n63d509, Institute of Transportation Studies, UC Berkeley.
    8. Petty, Karl F. & Bickel, Peter & Ostland, Michael & Rice, John & Schoenberg, Frederic & Jiang, Jiming & Ritov, Ya'acov, 1998. "Accurate estimation of travel times from single-loop detectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(1), pages 1-17, January.
    9. Ritchie, Stephen & Sun, Carlos, 1998. "Section Related Measures of Traffic System Performance: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4sc0t3bv, Institute of Transportation Studies, UC Berkeley.
    10. Nam, Do H. & Drew, Donald R., 1999. "Automatic measurement of traffic variables for intelligent transportation systems applications," Transportation Research Part B: Methodological, Elsevier, vol. 33(6), pages 437-457, August.
    11. Van Arem, Bart & Van Der Vlist, Martie J. M. & Muste, M. (Rik) & Smulders, Stef A., 1997. "Travel time estimation in the GERDIEN project," International Journal of Forecasting, Elsevier, vol. 13(1), pages 73-85, March.
    12. Coifman, Benjamin, 1999. "Vehicle Reidentification and Travel Measurements on Congested Freeways," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0zt5n54b, Institute of Transportation Studies, UC Berkeley.
    13. Coifman, Benjamin & Cassidy, Michael, 2000. "Automated Travel Time Measurement Using Vehicle Lengths from Loop Detector Speed Traps," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt54b9t4b6, Institute of Transportation Studies, UC Berkeley.
    14. Wu, Jifeng & Chang, Gang-Len, 1996. "Estimation of time-varying origin-destination distributions with dynamic screenline flows," Transportation Research Part B: Methodological, Elsevier, vol. 30(4), pages 277-290, August.
    15. Chung, Koohong & Rudjanakanoknad, Jittichai & Cassidy, Michael J., 2007. "Relation between traffic density and capacity drop at three freeway bottlenecks," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 82-95, January.
    16. Guo, Jianhua & Kong, Ye & Li, Zongzhi & Huang, Wei & Cao, Jinde & Wei, Yun, 2019. "A model and genetic algorithm for area-wide intersection signal optimization under user equilibrium traffic," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 155(C), pages 92-104.
    17. Dongjoo Park & Laurence Rilett & Byron Gajewski & Clifford Spiegelman & Changho Choi, 2009. "Identifying optimal data aggregation interval sizes for link and corridor travel time estimation and forecasting," Transportation, Springer, vol. 36(1), pages 77-95, January.
    18. Coifman, Benjamin & Cassidy, Michael, 2002. "Vehicle reidentification and travel time measurement on congested freeways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(10), pages 899-917, December.

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