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基于高速收费数据的路径速度还原与流量推断
引用本文:廖浩霖,翁小雄.基于高速收费数据的路径速度还原与流量推断[J].公路工程,2020(1):50-54,113.
作者姓名:廖浩霖  翁小雄
作者单位:华南理工大学土木与交通学院
基金项目:国家自然科学基金项目(51578247)
摘    要:基于收费数据的高速公路研究逐渐增多。本文利用收费数据对高速公路车流量进行推断。使用广度优先搜索算法对车辆进行路径还原,然后对车辆的运行状态进行了细化,对车辆平均速度的计算方法进行了优化。依据车辆行驶状态计算时间与速度,推算出车辆在不同时间段内的位置信息,进而推断出不同时段各路段的流量。与优化前的结果进行对比,发现了误差的不确定性。

关 键 词:收费数据  广度优先搜索  路径还原  速度推算

Path and Speed Restoration and Traffic Volume Inference Based on Toll Data
LIAO Haolin,WENG Xiaoxiong.Path and Speed Restoration and Traffic Volume Inference Based on Toll Data[J].Highway Engineering,2020(1):50-54,113.
Authors:LIAO Haolin  WENG Xiaoxiong
Institution:(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou Guangdong,510640,China)
Abstract:Highway research based on toll data is gradually increasing.This paper uses the toll data to infer the traffic volume of the highway.The breadth-first search algorithm is used to restoration the path of the vehicle.Then the running state and the calculation method of the average speed of the vehicle is optimized.Calculate the time and speed according to the running state of the vehicle,then estimate the position information of the vehicle in different time periods,and infer the traffic volume of each road segment in different time periods at last.Comparing with the results before optimization,the uncertainty of the error was found.
Keywords:toll data  the breadth-first search algorithm  path restoration  speed estimation
本文献已被 CNKI 维普 等数据库收录!
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