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24 septembre 2015
- handle: 10670/1.u92ow4
- hal: hal-01444459
- doi: 10.1007/978-3-319-24369-6_10
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-24369-6_10
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
Mots-clés
Floating car data ASIM sensors Traffic analysis Granger causality test Traffic incident detectionSujets proches
Mass communication Communications industries TrafficCiter ce document
Lukáš Rapant et al., « Comparison of ASIM Traffic Profile Detectors and Floating Car Data During Traffic Incidents », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1007/978-3-319-24369-6_10
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Résumé
Intelligent Transportation Systems are highly dependent on the quality and quantity of road traffic data. The complexity of input data is often crucial for effectiveness and sufficient reliability of such systems. Recent days, the fusion of various data sources is the topic which attracts attention of several researchers. The algorithms for data fusion take benefit of the advantages and disadvantages of each technology, resulting in an optimal solution for traffic management problems. The paper is focused on finding relations between two main data sources, floating car data and ASIM traffic profile detectors. Time series of speed and other information obtained from these data sources were analysed by Granger causality with intention to use both data sources efficiently for traffic monitoring and control during traffic incidents.