Abstract | ||
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The flow of data coming from modern sensing devices enables the development of novel research techniques related to data management and knowledge extraction. In this work, we undertake the problem of analysing traffic in a road network so as to help the city authorities to optimise traffic flow. A graph based modelling of the network traffic is presented which provides insights on the flow of movements within the network. We exploit this graph in order to analyse the traffic flow in the network and to discover traffic relationships like propagation, split and merge of traffic among the road segments. First experimental results illustrate the applicability and usefulness of our approach. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1504/IJBIDM.2008.017977 | IJBIDM |
Keywords | Field | DocType |
traffic mining,traffic flow,traffic relationships,analysing traffic,network traffic,knowledge extraction,data mining.,data management,road network,traffic relationship,city authority,road segment,data mining | Data mining,Traffic generation model,Traffic flow,Advanced Traffic Management System,Computer science,Floating car data,Knowledge extraction,Traffic congestion reconstruction with Kerner's three-phase theory,Data management,Network traffic simulation | Journal |
Volume | Issue | Citations |
3 | 1 | 6 |
PageRank | References | Authors |
0.94 | 8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Irene Ntoutsi | 1 | 200 | 12.18 |
Nikos Mitsou | 2 | 87 | 5.98 |
Gerasimos Marketos | 3 | 166 | 10.46 |