A Revised Sorting Method of Priority Order in Traffic Signal Planning

Kurzfassung

The traffic congestion in transportation networks is spatially correlated in adjacent roads and can propagate with some finite speed in time and space. Therefore, we proposed a method to quantify the intersection’s importance which reflects the congestion by considering both road network topology and traffic flow characteristics. The sorting method consists of two consecutive algorithms to sort the signalized intersections’ importance in a transportation network. Firstly, the graph connectivity of network is defined based on the shortest path distance and spatial connectivity between intersections. Secondly, a sorting model of importance is developed based on the idea of SMOO. The proposed sorting method is applied in a 6 by 8 grid artificial network based on micro-simulation and simulated data. The results show the effectiveness of the proposed method compared with the other methods