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。
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.
作者
廖浩霖
翁小雄
LIAO Haolin;WENG Xiaoxiong(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou Guangdong,510640,China)
出处
《公路工程》
北大核心
2020年第1期50-54,113,共6页
Highway Engineering
基金
国家自然科学基金项目(51578247)
关键词
收费数据
广度优先搜索
路径还原
速度推算
toll data
the breadth-first search algorithm
path restoration
speed estimation
