首页> 外文会议>Asia Pacific Transportation and the Environment Conference >Parking Management System Optimization on the Street In Order To Reduce Transport Problems By Using A Prototype Of Integrated Parking Management System (Case Study: Parking Area at Alun-Alun Utara Kota Pekalongan)
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Parking Management System Optimization on the Street In Order To Reduce Transport Problems By Using A Prototype Of Integrated Parking Management System (Case Study: Parking Area at Alun-Alun Utara Kota Pekalongan)

机译:停车管理系统在街道上优化,以减少综合停车管理系统的原型降低运输问题(案例研究:Alun-Alun Utara Kota Pekalongan停车区)

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These the problem of parking systems on the streets is a classic problem that occurs from year to year, many solutions are offered in solving parking problems on the street. The problem is not only related to congestion due to exit and enter the vehicle from the parking lot but also the problem of parking management becomes the current polemic. Optimization of integrated parking management system tries to provide solution in parking management that is by giving real time vehicle parking data to server so that manager can access data then make report or policy related parking. This system can be implemented multi-parking area in an integrated manner. In addition, this system can also provide vehicle parking monitoring for security vehicles in the parking lot. The development of this system for parking vehicle identification is supported by smart camera. In the prototype, the system test is carried out in day and night conditions, to anticipate the difference of pixel intensity on the vehicle object then in developing vehicle detection program using adaptive thresholding method. The results show that the identification vehicle program and sending data in real time from smart camera to server have been running quite well during the day and night.
机译:这些停车系统在街道上的问题是一个经典问题,从年内发生,许多解决方案都在街道上解决停车问题。问题不仅与由于退出而与停车场进入车辆的拥堵,而且停车管理的问题成为当前争论。集成停车管理系统的优化尝试在停车管理中提供解决方案,即通过向服务器提供实时车辆停车数据,使得经理可以访问数据然后制作报告或策略相关停车。该系统可以以综合方式实现多停车区。此外,该系统还可以为停车场的安全车辆提供车辆停车监测。智能摄像头支持该系统的停车车辆识别系统。在原型中,系统测试在白天和夜间条件下进行,以期待使用自适应阈值方法在开发车辆检测程序时对车辆对象的像素强度的差异。结果表明,在白天和夜晚,识别车辆程序和从智能相机到服务器的实时发送数据一直在运行。

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