摘要
为缓解道路节点的交通拥堵情况,满足日益增长的交通需求,借助于大数据分析,研究了道路交叉节点的改造方案。首先,提供交通大数据分析对道路节点的拥堵问题进行精准研判;其次,通过仿真模拟各改造方案的实施效果,筛选出最佳的改善方案;最后,借鉴典型案例,从路网结构、道路功能定位分析出发,提出不同交通组织方案,利用交通大数据及仿真技术,并对各个方案进行评估,选择最优方案,解决道路节点的交通拥堵问题,为类似交通拥堵道路节点改造方案研究提供参考。
In order to alleviate the traffic congestion of road nodes and meet the increasing traffic demand,the reconstruction scheme of road intersection nodes is studied by means of big data analysis.Firstly,it provides traffic big data analysis to accurately analyze the congestion problems at road nodes.Secondly,through the simulation of the implementation effect of each transformation scheme,the best improvement scheme is selected.Finally,draw lessons from typical cases,the structure of the road network,road function orientation analysis,put forward different traffic organization scheme,used in traffic data and simulation technology,and to evaluate various solutions,choose the optimal solution and solve the problem of path node traffic congestion,retrofit scheme for similar road traffic node research to provide the reference.
作者
林祥
LIN Xiang(Shenzhen Urban Transport Planning Center Co.,Ltd,Shenzhen 518000,China)
出处
《交通与运输》
2021年第S01期23-26,共4页
Traffic & Transportation
关键词
交通大数据
交通拥堵
道路节点
仿真
待行区
精细化设计
Traffic big data
Traffic congestion
Road intersection
Simulation
Waiting-area
Detailed design