Fuzing license plate recognition data and vehicle trajectory data for lane-based queue length estimation at signalized intersections

References

• 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, 277–290.
   Web of Science ®Google Scholar
• Badillo, B. E., Rakha, H., Rioux, T. W., & Abrams, M. (2012). Queue length estimation using conventional vehicle detector and probe vehicle data. Paper presented at the 15th International IEEE Conference on Intelligent Transportation Systems. IEEE, Anchorage.
   Google Scholar
• Ban, X. J., 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, 1133–1156.
   Web of Science ®Google Scholar
• Bertini, R. L., Lasky, M., & Monsere, C. M. (2005). Validating predicted rural corridor travel times from an automated license plate recognition system: Oregon’s frontier project. Paper presented at the 2005 IEEE Intelligent Transportation Systems Conference, IEEE, Vienna, Austria.
   Google Scholar
• Cai, Q., Wang, Z., Zheng, L., Wu, B., & Wang, Y. (2014). Shock wave approach for estimating queue length at signalized intersections by fusing data from point and mobile sensors. Transportation Research Record: Journal of the Transportation Research Board, 2422(1), 79–87. doi:10.3141/2422-09
   Google Scholar
• 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. doi:10.1080/15472450.2012.639637
   Web of Science ®Google Scholar
• Comert, G. (2013). Simple analytical models for estimating the queue lengths from probe vehicles at traffic signals. Transportation Research Part B: Methodological, 55, 59–74. doi:10.1016/j.trb.2013.05.001
   Web of Science ®Google Scholar
• Comert, G. (2016). Queue length estimation from probe vehicles at isolated intersections: Estimators for primary parameters. European Journal of Operational Research, 252, 502–521. doi:10.1016/j.ejor.2016.01.040
   Web of Science ®Google Scholar
• 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. doi:10.1016/j.ejor.2008.06.024
   Web of Science ®Google Scholar
• 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, 563–573. doi:10.1109/TITS.2011.2113375
   Web of Science ®Google Scholar
• Hao, P., Ban, X. J., Guo, D., & Ji, Q. (2014). Cycle-by-cycle intersection queue length distribution estimation using sample travel times. Transportation Research Part B: Methodological, 68, 185–204. doi:10.1016/j.trb.2014.06.004
   Web of Science ®Google Scholar
• Hao, P., Sun, Z., Ban, X. J., Guo, D., & Ji, Q. (2013). Vehicle index estimation for signalized intersections using sample travel times. Transportation Research Part C: Emerging Technologies, 36, 513–529. doi:10.1016/j.trc.2013.06.018
   Web of Science ®Google Scholar
• Li, F., Tang, K., Yao, J., & Li, K. (2017). Real-time queue length estimation for signalized intersections using vehicle trajectory data. Transportation Research Record: Journal of the Transportation Research Board, 2623(1), 49–59. doi:10.3141/2623-06
   Google Scholar
• Li, J.-Q., Zhou, K., Shladover, S. E., & Skabardonis, A. (2013). Estimating queue length under connected vehicle technology: Using probe vehicle, loop detector, and fused data. Transportation Research Record: Journal of the Transportation Research Board, 2356(1), 17–22. doi:10.1177/0361198113235600103
   Google Scholar
• Liu, H. X., & Ma, W. (2009). A virtual vehicle probe model for time-dependent travel time estimation on signalized arterials. Transportation Research Part C: Emerging Technologies, 17(1), 11–26. doi:10.1016/j.trc.2008.05.002
   Web of Science ®Google Scholar
• Parzen, E. (1962). On estimation of a probability density function and mode. The Annals of Mathematical Statistics, 33, 1065–1076. doi:10.1214/aoms/1177704472
   Google Scholar
• Ramezani, M., & Geroliminis, N. (2015). Queue profile estimation in congested urban networks with probe data. Computer-Aided Civil and Infrastructure Engineering, 30, 414–432. doi:10.1111/mice.12095
   Web of Science ®Google Scholar
• Rompis, S. Y., Cetin, M., & Habtemichael, F. (2018). Probe vehicle lane identification for queue length estimation at intersections. Journal of Intelligent Transportation Systems, 22(1), 10–25. doi:10.1080/15472450.2017.1300887
   Web of Science ®Google Scholar
• Shahrbabaki, M. R., Safavi, A. A., Papageorgiou, M., & Papamichail, I. (2018). A data fusion approach for real-time traffic state estimation in urban signalized links. Transportation Research Part C: Emerging Technologies, 92, 525–548. doi:10.1016/j.trc.2018.05.020
   Web of Science ®Google Scholar
• Sharma, A., Bullock, D. M., & Bonneson, J. A. (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. doi:10.3141/2035-08
   Web of Science ®Google Scholar
• Skabardonis, A., & Geroliminis, N. (2008). Real-time monitoring and control on signalized arterials. Journal of Intelligent Transportation Systems, 12, 64–74. doi:10.1080/15472450802023337
   Web of Science ®Google Scholar
• Tan, C., Yao, J., Tang, K., & Sun, J. (2019). Cycle-Based Queue Length Estimation for Signalized Intersections Using Sparse Vehicle Trajectory Data. IEEE Transactions on Intelligent Transportation Systems, 1–16. doi:10.1109/tits.2019.2954937
   Google Scholar
• 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. doi:10.1016/j.trc.2007.06.002
   Web of Science ®Google Scholar
• Viti, F., & Van Zuylen, H. J. (2010). Probabilistic models for queues at fixed control signals. Transportation Research Part B: Methodological, 44(1), 120–135. doi:10.1016/j.trb.2009.05.001
   Web of Science ®Google Scholar
• 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, 167–178. doi:10.1080/15472450.2016.1254046
   Web of Science ®Google Scholar
• Yasin, A. M., Karim, M. R., & Abdullah, A. S. (2010). Travel time measurement in real-time using automatic number plate recognition for Malaysian environment. Journal of the Eastern Asia Society for Transportation Studies, 8, 1738–1751.
   Google Scholar
• Yin, J., Sun, J., & Tang, K. (2018). A Kalman filter-based queue length estimation method with low-penetration mobile sensor data at signalized intersections. Transportation Research Record: Journal of the Transportation Research Board, 2672, 253–264. doi:10.1177/0361198118798734
   Web of Science ®Google Scholar
• Zhan, X., Li, R., & Ukkusuri, S. V. (2015). Lane-based real-time queue length estimation using license plate recognition data. Transportation Research Part C: Emerging Technologies, 57, 85–102.
   Web of Science ®Google Scholar