A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Real-time traffic monitoring by fusing floating car data with stationary detector data
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.
Real-time traffic monitoring by fusing floating car data with stationary detector data
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.
Real-time traffic monitoring by fusing floating car data with stationary detector data
Houbraken, Maarten (author) / Audenaert, Pieter (author) / Colle, Didier (author) / Pickavet, Mario (author) / Scheerlinck, Karolien (author) / Yperman, Isaak (author) / Logghe, Steven (author)
2015-06-01
2341154 byte
Conference paper
Electronic Resource
English
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