基于混合整数非线性规划的SRT公交信号优先模型
SRT Bus Signal Priority Model Based on Mixed Integer Nonlinear Programming
DOI: 10.12677/mos.2024.133305, PDF,   
作者: 马 超：盐城工学院机械学院，江苏 盐城；廖明军：盐城工学院智能交通系研究院，江苏 盐城
关键词: 混合整数非线性规划；公交优先；SRT公交；SUMO仿真；Mixed Integer Nonlinear Programming； Bus Signal Priority； SRT； SUMO
摘要: 超级虚拟轨道快运系统(Super autonomous Rail Rapid Transit，简称SRT)作为低成本、大运量的轨道交通系统是城市公交发展的新方向，车路协同技术为公交信号优先控制提供了技术支持。以减少交叉口内人均延误和车辆燃油消耗为目标，建立基于混合整数非线性规划的SRT公交信号优先模型，给出模型求解方法。结合SUMO仿真软件，对盐城市SRT某交叉口进行实例分析，得出该优先模型可以有效提高交叉口通行效率并降低了能耗，具有一定经济实用性。
Abstract: Super Virtual Rail Rapid Transit System (SRT) As a low-cost and high-capacity rail transit system, it is a new direction for the development of urban public transportation, and vehicle road coordination technology provides technical support for priority control of public transportation signals. With the goal of reducing per capita delay and vehicle fuel consumption at intersections, a mixed integer nonlinear programming based SRT bus signal priority model is established, and a solution method for the model is provided. Combining sumo simulation software, an example analysis was conducted on an SRT intersection in Yancheng City, and it was found that the priority model can effectively improve the traffic efficiency of the intersection and reduce energy consumption, which has certain economic practicality.
文章引用：马超, 廖明军. 基于混合整数非线性规划的SRT公交信号优先模型[J]. 建模与仿真, 2024, 13(3): 3352-3364. https://doi.org/10.12677/mos.2024.133305

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