Large vehicle recognition and classification for traffic management and flow optimization in narrow roads

A traffic management system for narrow roads that utilizes RGB cameras is proposed in this paper. The system is able to detect and recognize any large vehicles trying to cross narrow roads and control the traffic accordingly, for example prevent two large vehicles from entering the road from different directions simultaneously. The system is based on adaptive methodologies so that it can adjust to changing conditions of lighting. Moreover, a calibration technique combined with a fine tuning procedure overcome the limitations of a predefined camera setting. The goal of this paper is a system that optimizes the flow at the roads under monitoring with the use of traffic lights or VMS (variable-message signs). To our knowledge, there are no similar systems aiming at real time traffic management of narrow roads.