基于交通流检测算法的交通智能研究

Xinghua Li
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引用次数: 0

摘要

本文主要研究基于交通流检测算法的交通智能。智慧城市轨道交通系统从服务框架、逻辑框架和物理框架的建设三个方面进行了梳理。在过去,物流司机只能依靠经验来判断交通拥堵。智能交通系统应用后,他们可以依靠系统中的数据和信息。公路运输系统提高了物流配送的效率。在智能系统指导下的物流服务中,智能车辆调配系统的建设是交通运输系统与物流运作一体化的重要体现。同时,驾驶员接入智能停车系统,上传车辆的实时三维位置,查询目的地附近或周围的空闲停车位,并由系统规划行驶路线,将车辆停放在目标停车位。通过对所设计模型的测试,验证了模型的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Traffic Intelligence based on Traffic Flow Detection Algorithm
This paper is focusing on the traffic intelligence based on traffic flow detection algorithm. The smart city rail transit system is sorted out from the construction of service framework, logical framework and physical framework. In the past, logistics drivers can only rely on experience to judge traffic congestion. After the application of intelligent transportation system, they can rely on the data and information in the system. The road transportation system improves the efficiency of logistics distribution. In the logistics service under the guidance of intelligent system, the construction of intelligent vehicle allocation system is an important embodiment of the integration of transportation system and logistics operation. At the same time, the driver accesses the smart parking system, uploads the real-time three-dimensional position of the vehicle, queries the free parking spaces near or around the destination, and plans the driving route by the system to park at the target parking space. Through the testing of the designed model, the performance is then validated.
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