Delay estimation and development of model for urban arterial road

Measuring delay is important in computing the level of service provided to road users at signalized intersection. Intersection delays may include queue delay and control delay. The techniques developed for delay estimation in the most traffic signal design guidelines are based on the assumption that queue discharge rate at signalized intersections becomes stable after a few vehicles passes through the stop line, which is termed as saturation flow rate. This assumption has been challenged in recent times as a number of field observation in different parts of the world reported an increasing queue discharge rate observed along the back of queue. Estimation of delay is required to enhance the facility related to traffic condition, roadway facilities, signal design etc. Based on the delay estimation, model will develop by compiling data related to average control delay at intersection, delay on route, classified volume count and space mean speed. Regression based model is developed for estimation of stop control delay at intersection and average travel time time delay along the route. Then model is validated on basis of different statistical test and give some limitation of particular model.