不同路况下的交通流数据驱动分析

Collection of selected papers of the III International Conference on Information Technology and Nanotechnology Pub Date : 2019-01-01 DOI:10.18287/1613-0073-2019-2416-149-157

O. Golovnin

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引用次数: 6

摘要

文章描述了影响交通流量的道路、机构和天气条件。我提出了一种使用数据驱动方法进行交通流分析的方法。该方法具有宏观交通流特征和详细路况数据。本文介绍了考虑天气条件的交通流速度和强度分析的结果。这项研究使用了丹麦奥胡斯市的道路交通和状况数据。结果表明，该方法对不同道路条件下的交通流预测是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data-driven profiling of traffic flow with varying road conditions

The article describes the road, institutional and weather conditions that affect the traffic flow. I proposed a method for traffic flow profiling using a data-driven approach. The method operates with macroscopic traffic flow characteristics and detailed data of road conditions. The article presents the results of traffic flow speed and intensity profiling taking into account weather conditions. The study used road traffic and conditions data for the city of Aarhus, Denmark. The results showed that the method is effective for traffic flow forecasting due to varying road conditions.

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Collection of selected papers of the III International Conference on Information Technology and Nanotechnology

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