Applying floating car data in traffic monitoring

2014 IEEE International Conference on Control Science and Systems Engineering Pub Date : 2014-12-01 DOI:10.1109/CCSSE.2014.7224516

Wang Tiedong, H. Jingjing

引用次数: 8

Abstract

A new data fusion method has been developed which theoretically provides relevant information about traffic states at all crucial locations of urban road networks. This mainly based on Floating Car Data(FCD). FCD based on the collection of localisation data, speed, direction of travel and time information from GPS in vehicles that are being driven. The scope of the project is to development and creation of a Web-based data mart for the collection of FCD. The aim of this traffic management is to improve traffic flows by promoting more efficient use of the capacity of existing road infrastructure and transportation networks. For high quality traffic and safety information services, floating car data are essential to generate content. This system coverage is up to 80% and the accuracy of the information can reach more than 85%.

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浮动车数据在交通监控中的应用

提出了一种新的数据融合方法，从理论上提供城市道路网络中所有关键位置的交通状态相关信息。这主要基于浮动汽车数据(FCD)。FCD基于收集的定位数据、速度、行驶方向和行驶中车辆的GPS时间信息。该项目的范围是为FCD的收集开发和创建一个基于web的数据集市。这种交通管理的目的是通过促进更有效地利用现有道路基础设施和运输网络的能力来改善交通流量。为了提供高质量的交通和安全信息服务，浮动汽车数据是生成内容的必要条件。该系统的覆盖率可达80%，信息准确率可达85%以上。

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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2014 IEEE International Conference on Control Science and Systems Engineering

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