基于视频桩的路内停车管理系统框架研究

Frame of Curb Parking Management System Based on Video Pile

搞好城市静态交通管理、解决城市车辆停放问题,是有效缓解现代化城市进程中交通拥堵的重要途径之一。以路内停车作为切入点,对比人工、咪表、地磁+手持POS终端、地磁+相机等现有路内停车模式,提出了一种针对城市道路路内停车的检测及云平台部署模式。依托前端智能视频检测器自动识别停放车辆,数据采集完成后经网络传送至云平台,并生成停车订单,云平台根据实际业务要求,进行停车订单的创建、结束以及欠费订单的处理,从而达到停车自动计时收费处理的效果。这种停车管理模式具有自动化程度高、实时快速、数据精准等优点,有利于提高路内停车位的利用率和周转率,停车收费数据和各类管理信息还可为停车规划提供依据。

It is one of the important ways,that to make effective urban static traffic management and solve urban vehicle parking problems,to alleviate traffic congestion in the process of modern city.Taking curb parking as the breakthrough point,this paper compares the existing curb parking modes,such as manual,meter,geomagnetic+hand-held POS terminal,geomagnetic+camera,and etc.,and proposes a kind of detection and cloud platform deployment mode for urban road on-street parking.This mode relies on the froeend intelligent video detector to automatically identify the parking vehicle.After the data acquisition is collected,it is transmitted to the cloud platform via the network and a parking order is generated.The cloud platform creates and terminates the parking order and processes the order with arrear according to the actual business requirements.Finally,it achieves the effect of automatic parking timing and charging.This parking management mode has the advantages of high automation,real-time fast,and accurate data,which is conducive to improve the utilization rate and turnover rate of parking spaces.Parking charge data and various management information can also provide a basis for parking planning.