Estimation of delay variability at signalized intersections for urban arterial performance evaluation

References

• Abdy, Z., & Hellinga, B. (2008). Modelling day-to-day variability of intersection performance using microsimulation. Transportation Research Record, 2088, 18–25.
   Web of Science ®Google Scholar
• Akcelik, R., & Rouphail, N. M. (1994) Overflow queues and delays with random and platooned arrivals at signalized intersections. Journal of Advanced Transportation, 28(3), 227–251.
   Web of Science ®Google Scholar
• Ban, J., Li, Y., Alexander S., & Margulici, J. D. (2010). Performance evaluation of travel-time estimation methods for real-time traffic applications. Journal of Intelligent Transportation Systems, 14(2), 54–67.
   Web of Science ®Google Scholar
• Bates, J., Polak J. W., Jones P., & Cook, A. (2001).The valuation of reliability for personal travel. Transportation Research Part E: Logistics and Transportation Review, 37, 191–229.
   Web of Science ®Google Scholar
• Bhaskar, A., Chung E., & Dumont, A. G. (2009a). Travel time estimation on urban networks with mid-link sources and sinks. Compendium of papers on TRB 2009 [CD-ROM], Transportation Research Board, Washington, DC.
   Google Scholar
• Bhaskar, A., Chung E., & Dumont A. G. (2009b, September). Integrating cumulative plots and probe vehicle for travel time estimation on signalized urban network. Paper presented at the 9th Swiss Transport Research Conference, Monte Varità, Switzerland.
   Google Scholar
• Chen, P., Liu, H., Qi, H., & Wang, F. (2013). Analysis of delay variability at isolated signalized intersections. Journal of Zhejiang University SCIENCE A, 14(10), 691–704.
   Web of Science ®Google Scholar
• Chen, P., Yin, K., & Sun, J. (2015). Application of finite mixture of regression model with varying mixing probabilities to estimation of urban arterial travel times. Transportation Research Record, 2442, 96–105.
   Web of Science ®Google Scholar
• Fambro D. B., & Rouphail, N. M. (1997). Generalized delay model for signalized intersections and arterial streets. Transportation Research Record, 1572, 112–121.
   Google Scholar
• Fu, L., & Hellinga, B. (2000). Delay variability at signalized intersections. Transportation Research Record, 1790, 215–221.
   Google Scholar
• Gu, X., & Lan, C. (2009). Estimation of delay and its variability at signalized intersections. Compendium of papers on TRB 2009 [CD-ROM], Transportation Research Board, Washington, DC.
   Google Scholar
• Hollander, Y., & Liu, R. (2008). Estimation of distribution of travel times by repeated simulation, Transportation Research Part C: Emerging Technologies, 16, 212–231.
   Web of Science ®Google Scholar
• Karric, K., Robert, K., Ram, R., & Pravin, V. (2009). Arterial travel time estimation based on vehicle re-identification using wireless magnetic sensors. Transportation Research Part C: Emerging Technologies, 17, 586–606.
   Web of Science ®Google Scholar
• Li, M., Zhou, X., & Rouphail, N. M. (2016). Quantifying travel time variability at a single bottleneck based on stochastic capacity and demand distributions. Journal of Intelligent Transportation Systems. Advance publication online. http://dx.doi.org/10.1080/15472450.2016.1163639.
   Google Scholar
• Lin, W., Kulkarni, A., & Mirchandani, P. (2004). Short-term arterial travel time prediction for advanced traveler information systems. Journal of Intelligent Transportation Systems, 8(3), 143–154.
   Google Scholar
• Liu, H. X., & Ma, W. (2008). A virtual vehicle probe model for time-dependent travel time estimation on signalized arterials. Transportation Research Part C: Emerging Technologies, 17, 11–26.
   Web of Science ®Google Scholar
• Newell, G. F. (1965). Approximation methods for queues with application to the fixed-cycle traffic light. SIAM Review, 7(2), 223–240.
   Web of Science ®Google Scholar
• Olszewski, P. S. (1994). Modeling probability distribution of delay at signalized intersections. Journal of Advanced Transportation, 28(3):253–274.
   Web of Science ®Google Scholar
• Park, S. J., Rakha, H., & Guo, F. (2010). Multi-state travel time reliability model: Model calibration issues. Transportation Research Record, 2188, 74–84.
   Web of Science ®Google Scholar
• Rakha, H., El-Shawarby, I., & Arafeh, M. (2010). Trip travel-time reliability: Issues and proposed solutions. Journal of Intelligent Transportation Systems, 14(4), 232–250.
   Web of Science ®Google Scholar
• Remezani, M., & Geroliminis, N. (2012). On the estimation of arterial route travel time distribution with Markov chains. Transportation Research Part B: Methodological, 46(10), 1576–1590.
   Web of Science ®Google Scholar
• Saito, M., Walker, J., & Zundel, A. (2001). Using image analysis to estimate average stopped delays per vehicle at signalized intersections. Transportation Research Record, 1776, 106–113.
   Google Scholar
• SCATS. (2006). SCATS Traffic Reporter 6.4.2 user manual. Sydney, Australia: Roads and Traffic Authority of New South Wales.
   Google Scholar
• SHRP 2 Project L08 (2013). Incorporating Travel Time Reliability into the Highway Capacity Manual, S2-L08-RW-1. Transportation Research Board of the National Academies.
   Google Scholar
• Strong, D. W., & Rouphail, N. M. (2005). Incorporating the effects of traffic signal progression into the proposed incremental queue accumulation (IQA) method. Compendium of papers on TRB 2005 [CD-ROM], Transportation Research Board, Washington, DC.
   Google Scholar
• Sun, W., Wang, Y., Yu, G., & Liu, H. X. (2015a). Quasi-optimal feedback control for a system of oversaturated intersections. Transportation Research Part C: Emerging Technologies, 57, 224–240.
   Web of Science ®Google Scholar
• Sun, W., Wu, X., Wang, Y., & Yu, G. (2015b). A continuous-flow-intersection-lite design and traffic control for oversaturated bottleneck intersections. Transportation Research Part C: Emerging Technologies, 56, 18–33.
   Web of Science ®Google Scholar
• Transportation Research Board. (2000). Highway capacity manual. Washington, DC: Transportation Research Board.
   Google Scholar
• Transportation Research Board. (2010). Highway capacity manual. Washington, DC: Transportation Research Board.
   Google Scholar
• van Lint, J. W. C., van Zuylen, H. J., & Tu, H. (2008). Travel time unreliability on freeways: Why measures based on variance tell only half the story. Transportation Research Part A: Policy and Practice, 42(1), 258–277.
   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.
   Google Scholar
• Webster, F. V. (1958). Traffic signal settings. London, UK: Road Research Laboratory London, Her Majesty's Stationary Office.
   Google Scholar
• Wu, X., He, X., Yu, G., Harmandayan, A., & Wang, Y. (2015). Energy-optimal speed control for electric vehicles on signalized arterials. Intelligent Transportation Systems IEEE Transactions on, 16(5), 2786–2796.
   Web of Science ®Google Scholar
• Xu, J., Shang, S., Qi, H., Yu, G., Wang, Y., & Chen, P. (2016) Simulative investigation on head injuries of electric self-balancing scooter riders subject to ground impact. Accident Analysis and Prevention, 89, 128–141.
   PubMed Web of Science ®Google Scholar
• Yin, K., Wang, W., Bruce, W., & Adams, T. M. (2015). Link travel time inference using entry/exit information of trips on a network. Transportation Research Part B: Methodological, 80, 303–321.
   Web of Science ®Google Scholar
• Zheng, F., & van Zuylen, H. J. (2010). Uncertainty and predictability of urban link travel time: A Delay distribution based analysis. Transportation Research Record, 2192, 136–146.
   Web of Science ®Google Scholar
• Zheng, F., & van Zuylen, H. J. (2011). Modeling travel time variability based on delay distribution for signalized urban trips. Transportation Research Record, 2259, 80–95.
   Web of Science ®Google Scholar
• Zheng, F., & van Zuylen, H. J. (2014). The development and calibration of a model for urban travel time distributions. Journal of Intelligent Transportation Systems, 18(1), 81–94.
   Web of Science ®Google Scholar
• Zheng, J., Ma, X., Wu, Y., & Wang, Y. (2013). Measuring signalized intersection performances in real time with traffic sensors. Journal of Intelligent Transportation Systems, 17(4), 1–13.
   Web of Science ®Google Scholar