A Survey of Traffic State Prediction Methods on Large Urban Road Networks Using GPS and Non GPS Probe Vehicles

Abstract

The information regarding to the real time traffic is widely used for system like Intelligent Transportation System (ITS) for its applications such as vehicle direction-finding ,event detection, traffic signal control, traffic monitoring etc. In addition to this, the system such as Advanced Traveler Information Systems (ATIS) as well as Advanced Traffi Management System (ATMS) also requires the current conditions of urban road traffic along with its short term evolution. Thus the main theme of this paper is about the estimation or collecting the information related to traffi state for large scale urban road networks. For estimating the traffic state of such networks, we need to have efficien and effective method in place so that overall performance will improve. There are many methods presented b different authors, however each of this method suffered from few limitations. we present the following two effectiv methods based on GPS probe vehicles for the traffic state estimation: 1) the curvature-correction-based method an 2) the vehicle-tracking-based method. If the vehicle has GPS equipped we take each vehicle’s location using GP otherwise the location of the non GPS vehicle getting from the network i.e. by which direction of vehicle is travelling After the Prediction of Traffic state, we suggest the alternate route to the user. Alternate root must be leas congested route, shortest Distance and Minimal Delay. For Priority Vehicles like Ambulance or Fire Brigade, Traffi signals using multistage correlation-averaging algorithm can be used to estimate traffic state.
Keywords: Traffic State Prediction, Intelligent Transportation Systems, Traveler Information Systems, GPS.