基于定点数据的道路瓶颈拥挤自动识别算法  

Automatic Identification Algorithm for Road Bottlenecks Based on Detector Data

作　　者：弓晋丽[1] 彭贤武 

机构地区：[1]长沙理工大学交通运输工程学院,长沙410114 [2]三一重工股份有限公司,长沙410100

出　　处：《交通信息与安全》2013年第2期18-22,46,共6页Journal of Transport Information and Safety

基　　金：863计划项目(批准号:2007AA12Z242);国家自然科学基金项目(批准号:50738004)资助

摘　　要：为研究道路瓶颈处的交通拥挤现象,掌握由道路瓶颈引发的常发性拥挤的分布特点和变化规律,提出了道路瓶颈拥挤的自动识别算法。基于检测线圈历史数据,将交通状态定性划分为畅通和拥挤2种,根据瓶颈拥挤原理,识别道路瓶颈所在,并同时对由其引发的拥挤持续时长和拥挤范围进行鉴别。算法运算结果包含瓶颈定位及由其引发的拥挤持续时长和空间影响范围。以上海市南北高架路东侧10d线圈检测数据为例,验证了算法的有效性和实用性。To study the problem of traffic congestion at road bottlenecks and know the distribution properties as to change regulation of the Recurrent Congestion,a new automatic identification algorithm for road bottlenecks was proposed.Based on historical traffic data from the dual-loop detectors on road,the algorithm differentiates uncongested traffic state from congested state,thereby identifying traffic bottlenecks according to principle of congestion.It will also compute the congestion duration and influence range caused by bottlenecks at the same time.By using field data from dualloop detectors on Shanghai North-South elevated road for 10days,the effectiveness and practicality of the algorithm have been verified.

关 键 词：交通工程 线圈数据 道路瓶颈 交通拥挤 自动识别算法 

分 类 号：U491.112[交通运输工程—交通运输规划与管理]