摘要
文中将交通组织优化分解为方案优化和路径优化两个过程,以区域路网运行状态最优为目标函数构建双层模型,其中外层模型生成交通组织方案传递至内层,内层模型基于分散决策理论分配交通流并指导外层调整交通组织方案.运用遗传算法与仿真模拟协同求解模型,应用于北京三里屯区域周边路网的实例分析,相比传统方法能够自动生成方案并收敛,提升搜索效率和结果准确度.
Traffic organization optimization is divided into two processes:scheme optimization and route optimization.A two-layer model is constructed with the optimal running state of regional road network as the objective function,in which the outer layer model generates traffic organization scheme and transmits it to the inner layer,and the inner layer model allocates traffic flow based on decentralized decision theory and guides the outer layer to adjust traffic organization scheme.The collaborative solution model of genetic algorithm and simulation is applied to the case analysis of the road network around Sanlitun,Beijing.Compared with the traditional method,the scheme can be automatically generated and converged,which improves the search efficiency and accuracy of results.
作者
姜安培
吴海俊
赵慧
JIANG Anpei;WU Haijun;ZHAO Hui(Beijing General Municipal Engineering Design&Research Institute Co.Ltd.,Beijing 100082,China)
出处
《武汉理工大学学报（交通科学与工程版）》
2022年第6期1008-1012,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
住房和城乡建设部科学技术计划项目(2021-K-140)。
关键词
交通规划
交通仿真
遗传算法
交通组织
traffic planning
traffic simulation
genetic algorithm
traffic organization
