The Development of Smart Traffic Analysis System

S. Mak, W. F. Tang, C. H. Li, W. H. Chiu, H. Chan, C. C. Lee
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Abstract

Traffic density on roads directly affects the arrival time of emergency services. Effective monitoring of traffic flow and shortly time of traffic control will help facilitate the arrival time of emergency services. In this paper, some traffic monitoring measurements systems are included. Vehicle tracking algorithms are one of the systems that can provide traffic data, and the system can be configured to project visual images for analysis. Congested transportation is a key issue in Hong Kong. Being able to collect traffic density data for analysis can provide effective and substantive data for sustainable development. To provide unobstructed traffic, thereby reducing lane density and reducing obstruction to emergency services. There are video processing methods to understand traffic conditions. These systems can only capture different traffic conditions to evaluate traffic details. But it cannot control traffic conditions.
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智能交通分析系统的开发
道路交通密度直接影响应急服务的到达时间。有效监测交通流量和缩短交通管制时间,有助加快紧急服务的到达时间。本文介绍了几种交通监控测量系统。车辆跟踪算法是可以提供交通数据的系统之一,该系统可以配置为投影视觉图像进行分析。交通拥挤是香港的一个主要问题。能够收集交通密度数据进行分析,可以为可持续发展提供有效和实质性的数据。提供畅通无阻的交通,从而减少车道密度和减少对紧急服务的阻碍。有视频处理方法来了解交通状况。这些系统只能捕捉不同的交通状况来评估交通细节。但它无法控制交通状况。
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