基于5G+智慧灯杆的区域交通协调优化控制系统功能分析与研究
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[上海市政工程设计研究总院(集团)有限公司, 上海市 200092]

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步春江(1992—), 男, 工学硕士, 助理工程师,从事电气设计工作。

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中图分类号:

U491

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Function Analysis and Research of Regional Traffic Coordination Optimization Control System Based on 5G Smart Light Pole
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    摘要:

    随着国内城市化的稳步推进,智慧交通建设的理念逐渐得到了广泛的关注。在智慧交通的建设中,车载传感器因其载体局限性,对于规避道路拥堵、优化行车路线上无法起到关键性作用。车路协同的模式越来越受到科研人员的关注。智慧灯杆,因其可拓展性成了智慧交通建设中最佳的感知载体。杆件上可安装监控设施、广播、大屏幕,以及各类传感器、检测器等等一系列的感知设备。依托5G技术,相关交通管理部门可以更及时地掌控实时的交通运行情况。通过对交通流预测模型及区域交通协调优化模型的建立,提前预测中短期内道路交通流的运行情况,依托5G+智慧灯杆编织起的城市感知网络及定向广播系统,对沿途车主定向定量地决策最优的行车导航方案,对城市道路交通进行高效、有效的管理。现以上海5G+智慧灯杆的工程实例为依托展开基于交通流预测模型而开发的区域交通协调优化控制系统功能分析与研究。

    Abstract:

    With the steady progress of domestic urbanization, the concept of smart transportation has been gradually and widely concerned. In the construction of smart transportation, on-board sensors cannot play a key role in avoiding road congestion and optimizing driving routes due to the limitations of their carriers. The model of vehicle-road collaboration has attracted more and more attention from researchers. Smart light poles become the best sensing carrier in the construction of smart transportation due to their scalability. A series of sensing devices such as monitoring facilities, broadcasting, large screens, various sensors and detectors can be installed on the poles. Relying on 5G technology, the relevant traffic management departments can control the real-time traffic operation more timely. By establishing both of the traffic-flow prediction model and the regional traffic coordination optimization model, the operation of road traffic flow in the short and medium term is predicted in advance. Relying on the city perception network and directional broadcasting system woven by 5G+ smart light poles, it can make quantitative decisions on vehicle owners along the way and carry out efficient and effective management of urban road traffic. Based on the engineering example of Shanghai 5G + smart light pole, analysis and research are made on the system of regional traffic coordination and optimization control, which is developed on the basis of traffic flow prediction model.

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步春江.基于5G+智慧灯杆的区域交通协调优化控制系统功能分析与研究[J].城市道桥与防洪,2021,(4):45-48.

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  • 收稿日期:2021-01-06
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  • 在线发布日期: 2021-08-12
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