The invention discloses an intersection signal timing optimization method based on low-carbon traffic, which comprises the following steps: respectively establishing membership functions of traffic capacity, vehicle delay and traffic carbon emission of a signal intersection by applying a fuzzy compromise multi-objective planning theory, calculating the weight of the membership functions by constructing a fuzzy preference matrix, and converting the weight into a dimensionless single objective function; and thus, a signalized intersection optimization control model based on low-carbon traffic is constructed. According to the method, a single objective function is solved by adopting a dynamic acceleration constant and inertia weight particle swarm optimization algorithm, and the effective green light time of each phase is obtained respectively. According to the method, the intersection traffic capacity, intersection delay and traffic carbon emission are researched through the constructed signal timing model, and the optimal signal timing scheme is obtained through analysis; in addition, the VISSIM simulation software is used for carrying out traffic simulation on the case intersection so as to verify the effectiveness of the signal timing scheme.
本发明公开了一种基于低碳交通的交叉口信号配时优化的方法,包括:运用模糊折中多目标规划理论,分别建立了信号交叉口通行能力、车辆延误、交通碳排放的隶属度函数,并通过构造模糊偏好矩阵计算其权重,并转为无量纲的单目标函数,从而构建了基于低碳交通的信号交叉口优化控制模型。本发明采用动态加速常数协同惯性权重粒子群优化算法对单目标函数进行求解,分别得到了各相位的有效绿灯时间。本发明通过已构建的信号配时模型研究交叉口通行能力、交叉口延误、交通碳排放量,并分析得出最佳的信号配时方案;另外,运用VISSIM仿真软件对案例交叉口进行交通仿真,以验证信号配时方案的有效性。
Intersection signal timing optimization method based on low-carbon traffic
一种基于低碳交通的交叉口信号配时优化的方法
2023-08-08
Patent
Elektronische Ressource
Chinesisch
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