Publication Cover
Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 25, 2021 - Issue 1
457
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

A queue length estimation and prediction model for long freeway off-ramps

& ORCID Icon
Pages 122-134 | Received 15 Oct 2016, Accepted 01 Nov 2020, Published online: 17 Nov 2020

References

  • Albiol, A., & Mossi, J. M. (2011). Video-based traffic queue length estimation. Proceedings of IEEE in Computer Vision Workshops, 1928–1932.
  • An, C., Wu, Y. J., Xia, J., & Huang, W. (2018). Real-time queue length estimation using event-based advance detector data. Journal of Intelligent Transportation Systems, 22(4), 277–290. https://doi.org/10.1080/15472450.2017.1299011
  • Badillo, B. E., Rakha, H., Rioux, T. W., & Abrams, M. (2012). Queue length estimation using conventional vehicle detector and probe vehicle data. In Proceedings of the IEEE in Intelligent Transportation Systems Conference (ITSC) (pp. 1674–1681).
  • Bahuleyan, H., & Kattan, L. (2015). Real-time estimation of ramp queue length based on a hybrid Kalman filter and machine learning approach [Paper presentation]. Proceedings of the Transportation Research Board 94th Annual Meeting, 15-3468.
  • Ban, X., Hao, P., & Sun, Z. (2011). Real time queue length estimation for signalized intersections using travel times from mobile sensors. Transportation Research Part C: Emerging Technologies, 19(6), 1133–1156.
  • Bertini, R. L. (2005). Detecting Signals of Bottleneck Activation for Freeway Operations and Control. Journal of Intelligent Transportation Systems, 9(1), 35–45.
  • Burkhard, H. D. (2001). Similarity and distance in case-based reasoning. Fundamenta Informaticae, 47(3-4), 201–215.
  • Cao, J., Hadiuzzaman, M. D., Qiu, T. Z., & Hu, D. (2015). Real-time queue estimation model development for uninterrupted freeway flow based on shockwave analysis. Canadian Journal of Civil Engineering, 42(3), 153–163. https://doi.org/10.1139/cjce-2014-0218
  • Cassidy, M. J. (2001). Recent findings on simple attributes of freeway queue formation and propagation. In Proceedings of the IEEE in Intelligent Transportation Systems (pp. 531–535).
  • Cassidy, M. J., Anani, S. B., & Haigwood, J. M. (2002). Study of freeway traffic near an off-ramp. Transportation Research Part A: Policy and Practice, 36(6), 563–572.
  • Chang, G. L., & Su, C. C. (1995). Predicting intersection queue with Neural Network models. Transportation Research Part C: Emerging Technologies, 3(3), 175–191. https://doi.org/10.1016/0968-090X(95)00005-4
  • Cheek, M. T. (2007). Improvements to a queue and delay estimation algorithm utilized in video imaging vehicle detection systems [Doctoral dissertation]. Texas A&M University.
  • Cheng, Y., Qin, X., Jin, J., & Ran, B. (2012). An exploratory shockwave approach to estimating queue length using probe trajectories. Journal of Intelligent Transportation Systems, 16(1), 12–23. https://doi.org/10.1080/15472450.2012.639637
  • Cheng, Y., Qin, X., Jin, J., Ran, B., & Anderson, J. (2011). Cycle-by-cycle queue length estimation for signalized intersections using sampled trajectory data. Transportation Research Record: Journal of the Transportation Research Board, 2257(1), 87–94. https://doi.org/10.3141/2257-10
  • Comert, G. (2013a). Effect of stop line detection in queue length estimation at traffic signals from probe vehicles data. European Journal of Operational Research, 226(1), 67–76.
  • Comert, G. (2013b). Simple analytical models for estimating the queue lengths from probe vehicles at traffic signals. Transportation Research Part B: Methodological, 55, 59–74.
  • Comert, G., & Cetin, M. (2009). Queue length estimation from probe vehicle location and the impacts of sample size. European Journal of Operational Research, 197(1), 196–202. https://doi.org/10.1016/j.ejor.2008.06.024
  • Comert, G., & Cetin, M. (2011). Analytical evaluation of the error in queue length estimation at traffic signals from probe vehicle data. IEEE Transactions on Intelligent Transportation Systems, 12(2), 563–573. https://doi.org/10.1109/TITS.2011.2113375
  • Dahlgren, J., Khattak, A., McDonough, P., Banerjee, I., Orrick, P., & Sharafsaleh, A. (2004). ITS decision enhancements: Developing case-based reasoning and expert systems and incorporating new material. California Partners for Advanced Transit and Highways (PATH).
  • Günther, G. E., Coeymans, J. E., Muñoz, J. C., & Herrera, J. C. (2011). Mitigating freeway off- ramp congestion: a surface-streets coordinated approach. Procedia - Social and Behavioral Sciences, 17, 27–43. https://doi.org/10.1016/j.sbspro.2011.04.506
  • Hao, P., Ban, X., & Whon Yu, J. (2015). Kinematic equation-based vehicle queue location estimation method for signalized intersections using mobile sensor data. Journal of Intelligent Transportation Systems, 19(3), 256–272. https://doi.org/10.1080/15472450.2013.857197
  • Hossain, S., Kattan, L., & Radmanesh, A. (2011). Responsive signal control for non-recurrent traffic congestion on arterials [Paper presentation]. Proceedings of the Transportation Research Board 90th Annual Meeting, Report number: 11-3127.
  • Kalman, R. E. (1960). Contributions to the theory of optimal control. Boletin Sociedad Matematica Mexicana, 5(2), 102–119.
  • Kattan, L., & Saidi, S. (2013). Comparative analysis of probe-based ramp metering with detector-based and pre-timed ramp metering. Journal of Advanced Transportation, 47(1), 61–78. https://doi.org/10.1002/atr.1187
  • Khattak, A., & Kanafani, A. (1996). Case-based reasoning: A planning tool for intelligent transportation systems. Transportation Research Part C: Emerging Technologies, 4(5), 267–288. https://doi.org/10.1016/S0968-090X(97)82901-4
  • Khattak, A., & Renski, H. (1999). PLAN HOV: Case-based reasoning planning tool for high-occupancy vehicle lane analysis in a geographic information system environment. Transportation Research Record: Journal of the Transportation Research Board, 1682(1), 18–27. https://doi.org/10.3141/1682-03
  • Lee, S., Wong, S. C., & Li, Y. C. (2015). Real-time estimation of lane-based queue lengths at isolated signalized junctions. Transportation Research Part C: Emerging Technologies, 56, 1–17. https://doi.org/10.1016/j.trc.2015.03.019
  • Liu, H. X., Wu, X., Ma, W., & Hu, H. (2009). Real-time queue length estimation for congested signalized intersections. Transportation Research Part C: Emerging Technologies, 17(4), 412–427. https://doi.org/10.1016/j.trc.2009.02.003
  • Ma, D., Wang, D., Bie, Y., Sun, F., & Jin, S. (2012). A method for queue length estimation in an urban street network based on roll time occupancy data. Mathematical Problems in Engineering, 2012, 1–12. https://doi.org/10.1155/2012/892575.
  • Marinica, N. E., Sarlette, A., & Boel, R. K. (2013). Distributed particle filter for urban traffic networks using a platoon-based model. IEEE Transactions on Intelligent Transportation Systems, 14(4), 1918–1929.
  • Muck, J. (2002). Using detectors near the stop-line to estimate traffic flows. Traffic Engineering & Control, 43(11), 429–434.
  • Munoz, J. C., & Daganzo, C. F. (2002). The bottleneck mechanism of a freeway diverge. Transportation Research Part A: Policy and Practice, 36(6), 483–505.
  • Newell, G. F. (1999). Delays caused by a queue at a freeway exit ramp. Transportation Research Part B: Methodological, 33(5), 337–350.
  • Qian, G., Lee, J., & Chung, E. (2012). Algorithm for queue estimation with loop detector of time occupancy in off-ramps on signalized motorways. Transportation Research Record: Journal of the Transportation Research Board, 2278(1), 50–56. https://doi.org/10.3141/2278-06
  • Rompis, S. Y. R., Cetin, M., & Habtemichael, F. (2018). Probe vehicle lane identification for queue length estimation at intersections. Journal of Intelligent Transportation Systems, 22(1), 10–25. https://doi.org/10.1080/15472450.2017.1300887
  • Schank, R. C. (1983). Dynamic memory: A theory of reminding and learning in computers and people. Cambridge University Press.
  • Sharma, A., Bullock, D., & Bonneson, J. (2007). Input-output and hybrid techniques for real-time prediction of delay and maximum queue length at signalized intersections. Transportation Research Record: Journal of the Transportation Research Board, 2035(1), 69–80. https://doi.org/10.3141/2035-08
  • Spiliopoulou, A., Kontorinaki, M., Papamichail, I., & Papageorgiou, M. (2018). Real-time route diversion control at congested freeway off-ramp areas. Transportation Research Part A: Policy and Practice, 107, 90–105.
  • Suzuki, H., Nakatsuji, T., Tanaboriboon, Y., & Takahashi, K. (2000). Dynamic estimation of origin-destination travel time and flow on a long freeway corridor: Neural Kalman filter. Transportation Research Record: Journal of the Transportation Research Board, 1739(1), 67–75. https://doi.org/10.3141/1739-09
  • Tan, C., Liu, L., Wu, H., Cao, Y., & Tang, K. (2020). Fuzing license plate recognition data and vehicle trajectory data for lane-based queue length estimation at signalized intersections. Journal of Intelligent Transportation Systems, 24(5), 449–466. https://doi.org/10.1080/15472450.2020.1732217.
  • Vigos, G., & Papageorgiou, M. (2010). Simplified estimation scheme for the number of vehicles in signalized links. IEEE Transactions on Intelligent Transportation Systems, 11(2), 312–321. https://doi.org/10.1109/TITS.2010.2042807
  • Vigos, G., Papageorgiou, M., & Wang, Y. (2006). A ramp queue length estimation algorithm. In Proceedings of the IEEE in Intelligent Transportation Systems Conference (ITSC) (pp. 418–425).
  • Vigos, G., Papageorgiou, M., & Wang, Y. (2008). Real-time estimation of vehicle-count within signalized links. Transportation Research Part C: Emerging Technologies, 16(1), 18–35. https://doi.org/10.1016/j.trc.2007.06.002
  • Viti, F., & Van Zuylen, H. J. (2009). The dynamics and the uncertainty of queues at fixed and actuated controls: A probabilistic approach. Journal of Intelligent Transportation Systems, 13(1), 39–51. https://doi.org/10.1080/15472450802644470
  • Wang, Z., Cai, Q., Wu, B., Zheng, L., & Wang, Y. (2017). Shockwave-based queue estimation approach for undersaturated and oversaturated signalized intersections using multi-source detection data. Journal of Intelligent Transportation Systems, 21(3), 167–178. https://doi.org/10.1080/15472450.2016.1254046
  • Yang, X., Lu, Y., & Chang, G. L. (2014). A dynamic signal priority control strategy to mitigate the off-ramp queue spillback to the freeway mainline segment. Transportation Research Record: Journal of the Transportation Research Board, 2438(1), 1–11. https://doi.org/10.3141/2438-01
  • Yi, P., Xin, C., & Zhao, Q. (2001). Implementation and field testing of characteristics-based intersection queue estimation model. Networks and Spatial Economics, 1(1/2), 205–222. https://doi.org/10.1023/A:1011589313578
  • Zhang, L., Wang, L., Li, M., Li, D., Zhang, H., & Li, Z. (2016). Off-ramp of urban freeway and close to cohesion intersection coordinated control. In Proceedings of Chinese Control and Decision Conference (CCDC) (pp. 3560–3565).

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.