A Back-of-Queue Model of a Signal-Controlled Intersection Approach Developed Based on Analysis of Vehicle Driver Behavior

In smart cities, it is expected that transport, communication as well the movement of people and goods will take place in shortest possible time while maintaining a high level safety. recent years, due to significant increase number passengers vehicles on road capacity limitations transport networks, has become necessary use new technologies for intelligent control traffic management. Intelligent systems advanced field data gathering, information processing, meet current needs. To be able effectively manage traffic, have reliable mathematical models allow faithful representation real conditions. Models this type are usually basis complex algorithms used practice control. The application appropriate reflecting behavior users contributes reduction congestion, travel network, fuel consumption emissions, which turn support broadly understood energy savings. article proposes model allows estimation maximum queue size at signal-controlled intersection approach (so-called: back-of-queue). This takes into account most important characteristics forming queue. verification allowed conclusion proposed characterized by compliance with actual conditions intersections signal controllers located built-up areas Poland. obtained confirms possibility using practical applications calculating back-of-queue