Our objective is to use information on the vehicles approaching an intersection to control the traffic signal. Recent work in this area has used this information to minimize the average delay of vehicles controlled by the signal. We demonstrate that, when there are significant differences in the volume of traffic approaching from different directions, the average delay of the vehicles in the lo...

Accurate traffic speed forecasting not only can help management departments make better judgments and improve the efficacy of road monitoring but also drivers plan their driving routes arrive safely smoothly at destination. This paper focuses on lack data proposes a method for based multitemporal flow volume previous later moment states. First, according to data, different patterns states were ...

This paper presents research on the collection, analysis, and evaluation of fundamental data needed for road traffic systems. The basis research, planning projections systems are counts collection related to volume type. quality accuracy this very important or optimization. Therefore, purpose is apply advanced methods automatic counting motorized evaluate impact measurement indicators. measurem...

this paper presents a hybrid approach to developing a short-term traffic flow prediction model. in thisapproach a primary model is synthesized based on neural networks and then the model structure is optimized throughgenetic algorithm. the proposed approach is applied to a rural highway, ghazvin-rasht road in iran. the obtainedresults are acceptable and indicate that the proposed approach can i...

The traffic volume becomes one of the top problems in the world, the volume of traffic spends many time and much money, the traffic volume grows daily, and there is not effective and suitable solutions for grows problem. This paper will present and describe an effective approach to integrate the Service Oriented Architecture with mobile devices and services agents in Traffic Management Systems ...

This paper presents a prediction algorithm for estimating the upper bound of future Web traffic volume. Unlike traditional traffic predictions that are performed at a single time scale using curve fitting, we employ a multiple time scale approach and utilize traffic statistical properties to do forecasting. We have applied our prediction algorithm to the 1998 World Cup data set. Experiments sho...