摘要: |
This report is a comprehensive investigation of adaptive signal control. Congestion, incidents and transit priority all are discussed and examined by modeling, first on a theoretical network, and then on four Salt Lake City area networks using field collected data. This modeling was possible through the University of Utah-built interface between the micro-simulation models CORSIM and VISSIM and the Split, Cycle and Offset Optimization Technique (SCOOT). The findings of this two-year study show that adaptive control has substantial benefits over a non-adaptive system. The results presented are compared to an updated and optimal fixed-times system-the best that an experienced traffic engineer can achieve, short of adaptive control. This report concludes with a firm recommendation to deploy adaptive signal control. The research shows that adaptive control in SLC will bring immediate delay reduction and improved traffic control for many years to come. |