时段交通限行的时空动态建模与路径优化方法
发布时间：2019-03-28 08:08
【摘要】：针对现有道路网数据模型无法对不同车型、不同时段的动态网络拓扑进行有效建模与表达,传统路径规划方法缺乏对时段交通限行信息的支持,无法满足基本日常出行需求的问题,对时段交通限行中时段、车型(车号尾数)、限行信息的道路动态网络拓扑描述进行研究,提出不同时段交通限行下的道路动态网络拓扑模型,以实现不同车型(车号尾数)、不同时段复杂城市交通路网连通拓扑的动态建模;同时在Dijkstra算法的基础上,结合时段交通限行道路网络模型的特点,加入节点连通性判断,改进判断车道间及车道的车型、时间、转向限制等算法,构建了一种基于时段交通限行信息的路径优化方法,并以武汉市路网、武汉长江大桥和武汉长江二桥的时段交通限行信息为试验数据,完成不同车型、不同时段的跨江交通限行路径规划试验,以验证所提出模型的可行性。研究结果表明:基于时段交通限行的道路动态网络拓扑模型与基于时段交通限行信息的路径优化方法完善了当前交通数据模型与路径规划方法的不足,可满足在全新路网数据下的日常出行需求。
[Abstract]:In view of the fact that the existing road network data models cannot effectively model and express the dynamic network topology of different vehicles and different periods of time, the traditional path planning method lacks the support of traffic restriction information in the period of time. Unable to meet the basic daily travel needs, this paper studies the road dynamic network topology description of traffic restrictions in the period of traffic restrictions, such as the period of traffic restrictions, the number of vehicles (the number of the car), and the information of traffic restrictions. This paper proposes a dynamic road network topology model under different traffic restrictions to realize the dynamic modeling of the connectivity topology of complex urban traffic network in different models (the number of the vehicle) and the complex urban traffic network in different time periods. At the same time, on the basis of the Dijkstra algorithm, combined with the characteristics of the road network model of traffic restrictions in the period of time, the node connectivity judgment is added to improve the algorithms of judging the vehicle type, time, and turning limit between lanes and lanes, and so on. In this paper, a route optimization method based on traffic restriction information is constructed, and the traffic information of Wuhan road network, Wuhan Yangtze River Bridge and Wuhan Yangtze River second Bridge is used as the experimental data to complete the traffic restrictions of different vehicles. In order to verify the feasibility of the proposed model, the traffic route planning experiment of cross-river traffic in different time periods is carried out to verify the feasibility of the proposed model. The results show that the road dynamic network topology model based on traffic restrictions and the path optimization method based on traffic restriction information in the period of time perfect the shortcomings of the current traffic data model and path planning method. Can satisfy the daily travel demand under the new road network data.
【作者单位】： 武汉大学科学技术发展研究院;武汉大学城市设计学院;武汉大学测绘遥感信息工程国家重点实验室;
【基金】：国家重点研发计划项目(2017YFB0503600) 国家自然科学基金项目(41671442,41571430,41271442)
【分类号】：U491
本文编号：2448687
[Abstract]:In view of the fact that the existing road network data models cannot effectively model and express the dynamic network topology of different vehicles and different periods of time, the traditional path planning method lacks the support of traffic restriction information in the period of time. Unable to meet the basic daily travel needs, this paper studies the road dynamic network topology description of traffic restrictions in the period of traffic restrictions, such as the period of traffic restrictions, the number of vehicles (the number of the car), and the information of traffic restrictions. This paper proposes a dynamic road network topology model under different traffic restrictions to realize the dynamic modeling of the connectivity topology of complex urban traffic network in different models (the number of the vehicle) and the complex urban traffic network in different time periods. At the same time, on the basis of the Dijkstra algorithm, combined with the characteristics of the road network model of traffic restrictions in the period of time, the node connectivity judgment is added to improve the algorithms of judging the vehicle type, time, and turning limit between lanes and lanes, and so on. In this paper, a route optimization method based on traffic restriction information is constructed, and the traffic information of Wuhan road network, Wuhan Yangtze River Bridge and Wuhan Yangtze River second Bridge is used as the experimental data to complete the traffic restrictions of different vehicles. In order to verify the feasibility of the proposed model, the traffic route planning experiment of cross-river traffic in different time periods is carried out to verify the feasibility of the proposed model. The results show that the road dynamic network topology model based on traffic restrictions and the path optimization method based on traffic restriction information in the period of time perfect the shortcomings of the current traffic data model and path planning method. Can satisfy the daily travel demand under the new road network data.
【作者单位】： 武汉大学科学技术发展研究院;武汉大学城市设计学院;武汉大学测绘遥感信息工程国家重点实验室;
【基金】：国家重点研发计划项目(2017YFB0503600) 国家自然科学基金项目(41671442,41571430,41271442)
【分类号】：U491
【相似文献】
相关硕士学位论文 前2条
1 陈燕生;考虑站点配置的公交车辆综合路径规划方法[D];北京化工大学;2015年
2 秦奇辉;城市环境下考虑实时与历史交通信息的路径规划方法研究[D];天津理工大学;2016年
，本文编号：2448687
本文链接：https://www.wllwen.com/kejilunwen/daoluqiaoliang/2448687.html
