Performance comparison of two model based schemes for estimation of queue and delay at signalized intersections

Fast video‐based queue length detection approach for self‐organising traffic control

“…In general, loop detectors [5, 6], magnetic detectors [7], probe vehicles [8], and video cameras [9, 10] are applied to detect or estimate the queue length. The detection range of loop detectors and magnetic detectors are relatively small and the roads will be destroyed when installing the detectors.…”

“…The detection range of loop detectors and magnetic detectors are relatively small and the roads will be destroyed when installing the detectors. By using the data from the loop detectors, two model‐based schemes, namely the occupancy‐based method and the queue clearance‐based method, were used for the estimation of queue and delay [5]. The two methods were analysed and the results showed that the queue clearance‐based method achieved better precision for estimation of queue and delay.…”

Operational performance evaluation of traffic signals using big data analytics

“…However, it is an over-approximation since they assume that all the vehicles leave at the start of green and there is no provision for a residual queue (ATKINS, 2016). The method used in this work to calculate the approach delay uses the concept of deterministic queue model (Dion et al, 2004) and the stop bar actuations located at or just beyond the stop bar at an intersection (Anusha et al, 2015). Thus this present study provides a more rational approach to calculate the most crucial ATSPM measure, traffic delay.…”

“…As defined before, the method used in this work to calculate the approach delay uses the concept of deterministic queue model (Dion et al, 2004) and the stop bar actuation located at or just beyond the stop bar at an intersection (Anusha et al, 2015). The methodology to calculate the delay is shown in Figure 3.4(b)…”