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Applying of combined algorithm for prediction urban road traffic based on fuzzy search theory

机译:基于模糊搜索理论的组合算法在城市道路交通预测中的应用

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The article analyzes the problem of road traffic progress prediction in the city. Proposed mathematical models and algorithms allow to solve the problem of traffic jam prediction using statistics about the traffic parameters incoming from vehicle monitoring systems. The algorithm of road traffic situation prediction based on known approaches fuzzy search in relational databases using a mixed criterion. The prediction algorithm had been successfully tested using satellite vehicle monitoring data pick up for more than a year. Application of described methods makes possible to achieve high results in predicting of traffic jam. The results of using the proposed prediction method was compared with widely used average speed extrapolation method and actual data for the study period of time.
机译:本文分析了城市道路交通进度预测的问题。提出的数学模型和算法允许使用关于从车辆监控系统传入的交通参数的统计数据来解决交通拥堵预测的问题。基于已知方法的道路交通状况预测算法使用混合准则在关系数据库中进行模糊搜索。该预测算法已使用卫星飞行器监视数据采集成功测试了一年多。所描述的方法的应用使得可以在预测交通拥堵方面获得很高的结果。在研究期间,将使用拟议的预测方法的结果与广泛使用的平均速度外推法和实际数据进行了比较。

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