摘要: |
The main performance measures used in the assessment and optimization of traffic signal timing have traditionally been restricted to mobility, with limited consideration of environmental and safety aspects. The goal of this study is to develop a signal timing optimization algorithm that can consider mobility, safety, and environmental measures simultaneously on coordinated arterials. The objectives of the research are to a) review relevant research that can be used to evaluate safety at signalized intersections as a function of various signalization-related parameters; b) select or develop a set of equations that can be used to predict crashes as a function of intersection characteristics and signal control; c) develop a methodology for optimizing signal control in terms of safety (crashes), environmental impacts (emissions) and operations (delay); d) implement the proposed methodology in the Highway Capacity Software; and e) conduct a sensitivity analysis of the model results to assess the optimal performance measures obtained as a function of key variables that affect mobility, safety and emissions outputs. Optimization results and statistical analysis of the sensitivity scenarios showed that the effect of each variable on the overall performance of the model is highly dependent on other variables. For instance, the use of shared turns and permitted left could improve both mobility and safety to a degree which is a function of the traffic volumes and turning percentage levels. The size of the intersection, defined as a function of the number of lanes on the arterial, was found to be the most significant variable in the model, largely affecting all performance measures. The methods developed in this study have been implemented in the Highway Capacity Software (HCS), and can be used to optimize signal control by simultaneously considering mobility, safety, and environmental effects. |