期刊
2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
卷 -, 期 -, 页码 1285-1290出版社
IEEE
关键词
traffic flow modelling; finite mixture of circular normal statistical distributions; differential evolution; polar plot
类别
资金
- European Regional Development Fund under the project AIReasoning [CZ.02.1.01/0.0/0.0/15_003/0000466]
- Czech Science Foundation [GJ16-25694Y]
- VSB-Technical University of Ostrava [SP2018/126]
Accurate modelling and representation of traffic flows is an important element of intelligent transportation systems, urban planning, and smart environments in general. In this work, location-specific hourly traffic flows are represented by finite mixtures of circular normal statistical distributions. The parameters of the finite mixtures are found by differential evolution, an evolutionary algorithm that is able to fit the statistical models to data with a high level of accuracy. The results are represented by circular plots that can be used as a form of visually appealing and easily understandable fingerprints of the underlying traffic flow patterns.
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