作　　者： ; ;

机构地区： 华南理工大学土木与交通学院

出　　处： 《交通信息与安全》 2013年第6期92-99,共8页

摘　　要： 现有常规的道路流量调查方法有人工调查法和硬件检测法等,由于成本高,调查周期长,有一定危险性,无法应用于大面积的路网调查。国内每辆车进出高速公路时都会经过收费站,收费站数据库详细记录了每辆车的进口站、出口站、车型和出入时间等信息。利用这些数据、信息,并加以分析计算,得到路网中所需要的路径及路段流量,可大大缩短调查时间,节省调查成本。涉及的最主要算法为无向图2点之间所有路径求解,是作者根据以前所有路径算法加以改进,通过堆栈标记来实现的。经实例证明能较大程度提高运算效率,具有较强的实用性。 In order to monitor highway network flow,conventional traffic survey methods including manual counting and video detection,cannot be applied to a large road network due to the high cost,long survey cycle and danger associated with them.In most parts of China,a vehicle accessing a highway requires to go through toll stations and therefore the toll management database has a detailed record of the entrance station,exit station,vehicle model and entrance/exit time for each vehicle.Therefore,this paper proposes to estimate link flow using such information,which can greatly reduce survey time and cost.The main algorithm involved is to generate all of the paths between any two exit/entrance points in a undirected graph,which is achieved by improving aprevious all-path algorithm through the stack label algorithm.A case study verifies that the proposed method is practical and at the same time,has an improved efficiency.

关 键 词： 高速公路 流量 收费站 路径

领　　域： [交通运输工程] [交通运输工程]