基于车牌识别数据的城市道路网主通道识别研究  

Corridor Research in Urban Road Networks Based on License Plate Recognition Data

作　　者：赵怀柏 ZHAO Huaibai(Shanghai SEARI Intelligent System Co.,Ltd,Shanghai 200063,China)

机构地区：[1]上海电科智能系统股份有限公司,上海200063

出　　处：《交通与运输》2020年第S01期213-218,共6页Traffic & Transportation

摘　　要：提出城市道路网主通道的概念,并利用图论和最长公共子串模型,提出一种根据交通需求时空分布特征识别主通道的方法。以上海市宝山区部分区域路网为例,对模型进行了测试和验证,实验表明本文提出的模型能够识别道路网主通道,且有效地反映路网运行中实际承担主骨架功能的路段。A concept of corridor in urban road networks is suggested in our paper.We propose a method for extracting corridor based on temporal and spatial features of traffic demands,which employed graph theory and longest common substring.We have tested and verified our corridor extraction model by data from Baoshan District,Shanghai.The results indicate that our model can extract corridor in urban road networks,and the extracted corridor reflect routes that play the role of channel in urban road networks actually.

关 键 词：车牌识别 主通道 交通需求 路径 

分 类 号：U491[交通运输工程—交通运输规划与管理]