基于车流量调查数据的路网级流量反推方法  

A Road Network-level Traffi c Flow Back-calculation Method Based on Vehicle Flow Survey Data

作　　者：邱树荣 QIU Shurong(China Railway SIYUAN Survey and Design Group Co.,Ltd.,Wuhan 430063)

机构地区：[1]中铁第四勘察设计院集团有限公司交通院,武汉430063

出　　处：《铁道勘测与设计》2025年第2期64-69,共6页Railway Survey and Design

摘　　要：面对庞大的公路交通网络,囿于人力成本和环境制约,传统调查方法获取现状OD矩阵实施困难。此时采用路段流量反推OD的方法将成为重要手段,而车流量调查数据相对整个路网是稀疏的,这给OD反推带来了巨大挑战。本文结合现有地图资源,构造专属的路网基础数据,利用车流量调查数据,通过遗传算法完成具有区域流量特征的BPR参数标定,根据反推模型完成路网级断面流量的反推补完,为OD反推和交通需求分析提供数据支撑。Facing the extensive road transportation network,owing to the limitations of labor cost and the environment,it is arduous to obtain the current OD matrix through traditional investigation approaches.At such a juncture,the method of inferring OD from link flow emerges as a crucial means.Nevertheless,the traffic flow survey data is relatively sparse in relation to the entire road network,posing a significant challenge to OD inference.In this paper,in combination with the existing map resources,the exclusive fundamental data of the road network is constructed.Utilizing the traffic flow survey data,the BPR parameters with regional flow characteristics are calibrated via the genetic algorithm,and the reverse inference and completion of the road network-level sectional flow are achieved based on the reverse inference model,providing data support for OD inference and traffic demand analysis.

关 键 词：公路交通 交通需求分析 遗传算法 BPR函数 流量反推 

分 类 号：F27[经济管理—企业管理]