Real-time Traffic Monitoring by fusing Floating Car Data with Stationary Detector Data

被引：0

作者：

Houbraken, Maarten ^{[1
]}

Audenaert, Pieter ^{[1
]}

Colle, Didier ^{[1
]}

Pickavet, Mario ^{[1
]}

Scheerlinck, Karolien ^{[2
]}

Yperman, Isaak ^{[2
]}

Logghe, Steven ^{[2
]}

机构：

[1] Univ Ghent, Dept Informat Technol, Ghent, Belgium

[2] Be Mobile, Melle, Belgium

来源：

2015 INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS) | 2015年

关键词：

floating car data; stationary detector data; data fusion; traffic state estimation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Applying the current technological possibilities has led to a wide range of traffic monitoring systems. These heterogeneous data sources individually provide a view on the current traffic state, each source having its own properties and (dis)advantages. However, these different sources can be aggregated to create a single traffic state estimation. This paper presents a data fusion algorithm that combines data on the data sample level. The proposed system fuses floating car data with stationary detector data and was implemented on live traffic. Results show the fusion algorithm allows to eliminate individual source bias and alleviates source-specific limitations.

引用

页码：127 / 131

页数：5

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