An Area Traffic Control Algorithm Based on Multi-group Partition

This paper presents an optimization model to the application of signal coordination for urban network based on multi-group partition. The proposed algorithm divides a large signalized network into several subgroups with three or more intersections according to real traffic flow. In each subgroup, signal coordination between neighboring intersections is built by a common cycle and offsets. In order to achieve the optimal performance index, genetic algorithm is developed to synchronously optimize signal timing parameters. A case study was presented to illustrate how the proposed approach could be applied. The result was compared with that from TRANSYT-7F. It indicated that the proposed approach improved efficiency and reduced the vehiclespsila delay time for urban area traffic.