ESTIMATION OF CYCLE BY CYCLE QUEUE LENGTH AT APPROACHES OF SIGNALIZED INTERSECTION UNDER MIXED TRAFFIC CONDITIONS
Keywords:
Queuning, queue length, signalized intersection, mixed traffic DepartmentAbstract
Signalized intersections are essential nodes in the urban network for better operational performance of traffic flow. At approaches of signalized intersection the formation of excessive queue occurs due to demand leads the service rate. The analysis of queuing helps in predicting the accumulation of excessive queue and the condition of a traffic jam at an approach of signalized intersections. The present study analyzes the queuing of vehicles at approaches of signalized intersection under mixed traffic conditions by collecting field data at approaches of two different intersections in Warangal City. A new queue length model was proposed by considering various factors identified in field related to roadway, vehicle, driver’s standstill behaviour etc. The average number of vehicles observed at approach during a cycle was also used as an input to determine queue length using proposed model. The model was validated by field queue length observed at different approaches of signalized intersections. Statistical evidence confirms a successful validation of the queue length model under mixed traffic conditions. The method suggested in the present study may help in determining queue length expected at a given approach of signalized intersections with better accuracy and provide an easy estimation of length of storage lane required for right turning vehicles as well.
References
Anusha, S.P., Sharma, A., Vanajakshi, L., Subramanian, S.C., and Rilett, L.R. (2016). Model-based approach for queue and delay estimation at signalized intersections with erroneous automated data. J. Trans. Eng., 142(5).
Anokye, A.R.M., Aziz, A., Annin, K., and Oduro, F.T. (2013). Application of queuing theory to vehicular traffic at signalized intersection in kumasi-ashanti region, ghana. American Int. J. Contemp. Res., 3(7).
Cai, Q., Wang, Z., Zheng, L., Wu, B., and Wang, Y. (2014). Shock wave approach for estimating queue length at signalized intersections by fusing data from point and mobile sensors. J. Trans. Res. Board, 2422:79-87.
Cruz, F.R.B., Smitha, J.M.G., and Medeirosb, R.O. (2002). An M/G/C/C state-dependent network simulation model. Comp. Oper. Res., 32:919–941.
Henry, X., Liu., Xinkai, Wu., Wenteng, Ma., and Heng, Hu. (2009). Real-time queue length estimation for congested signalized intersections. Transp. Res. Part C, 17:412–427.
Highway Capacity Manual, (HCM). (2000). Transportation Research Board, National Research Council, Washington D.C, U.S.A.
Highway Capacity Manual, (HCM). (2010). Transportation Research Board, National Research Council, Washington D.C, U.S.A.
Indian Highway Capacity Manual, (INDO-HCM). (2017). Council of Scientific and Industrial Research (CSIR), New Delhi, India.
Tong, H. and Hung, W.-t. (2003). neural network modelling of vehicle discharge headway at signalized intersection. Transp. Res. Part A: Policy and Practice., 36:17-40.
Viti, F. and Van Zuylen, H.J. (2004). Modelling queues at signalized intersections. Transp. Res. Rec., 1,883: 68–77.
Wu, N. (1998). Estimation of queue lengths and their percentiles at signalized intersections. Proceeding of the 3rd International Symposium on Highway Capacity, Copenhagen, Denmark.
Yang, S. and Yang, X. (2014). The application of the queuing theory in the traffic flow of intersection. Int. J. Math. Comput. Sci., 8(6).
