基于手机与流量数据的高速公路收费口流量预警支撑系统研究与实现  被引量:2

Research and Implementation of Expressway Toll Port Traffic Warning Support System Based on Mobile Phone and Flow Data

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作  者:陆俊贤 朱景瑜 

机构地区:[1]上海云砥信息科技有限公司,上海200434

出  处:《科技创新与应用》2018年第20期1-4,共4页Technology Innovation and Application

摘  要:文章将基于手机大数据生成的实时车速数据和实时收费站入口数据进行融合,通过专有模型实现收费口与瓶颈拥堵路段的关联,实时监测收费口流量,当收费口流量超过瓶颈路段流量阈值时,实时发布收费口流量预警信息,包括瓶颈路段流量预测信息、瓶颈路段预计发生拥堵时间等信息,及时疏导收费口车流,避免交通拥堵的发生。In this paper, the real-time speed data generated by mobile phone big data and the real-time toll station entrance data are fused to realize the connection between the toll port and the bottleneck section through the proprietary model, and the realtime monitoring of the toll port flow is carried out. When the flow of toll port exceeds the threshold of flow of bottleneck section, the warning information of traffic flow of toll port is issued in real time, including traffic forecast information of bottleneck section and forecast time of congestion in bottleneck section, so that traffic flow of toll port can be dredged in time and traffic jams can be avoided.

关 键 词:手机大数据 收费口流量预警 高速路网 智能交通系统 

分 类 号:U491.116[交通运输工程—交通运输规划与管理]

 

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