Study on Transit Signal Priority Timing Considering Traffic and Environmental Benefit
In order to achieve transit signal priority(TSP)while enhancing both the traffic operational efficiency and environmental impact of urban signalized intersections,integrating the total passenger delay reflecting the transit priority benefit,exhaust emissions reflecting the environmental benefit,as well as the number of stops and capacity representing the traffic operation benefit,a TSP timing optimization method with effective green time change value as the decision variable is proposed.Firstly,various traffic and environmental indicator models are selected,the weight coefficients of classical performance indicators are adjusted,and model constraints are determined to construct a bus priority signal timing optimization model adaptable to busy traffic flow conditions.Secondly,an optimization algorithm logic framework for solving the multi-objective function model is developed.Finally,a typical intersection in Guangzhou University Town is selected as the validation object of the model and algorithm,the optimization method is compared with Webster model,and the applicability and effectiveness of the TSP method are further verified through calibrated intersection simulation model.The result shows that(1)the optimization scheme of TSP model provides priority access to public buses while taking into account the access benefit of other vehicles;(2)compared with the status quo,the reductions in total passenger delay,exhaust emissions and the number of stops are 12.8%,6.8%and 2.5%respectively,while there is a significant improvement in capacity with an increase of 12%.It shows that the proposed TSP optimization method,which integrates the traffic operation benefit and environmental benefit of intersections,is applicable to improve the operation of urban signal intersections,and the improvement effect is better than Webster model overall.
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