Real Time Urban Traffic Data Pinpointing Most Important Crossroads
| Autor: | Dacian Avramoni, Lucian Prodan, Cristian Cosariu, Alexandru Iovanovici, Iosif Szeidert-Subert |
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| Rok vydání: | 2020 |
| Předmět: |
020203 distributed computing
Computer science business.industry Node (networking) Multitude 020206 networking & telecommunications 02 engineering and technology Sensor fusion Task (project management) Betweenness centrality Smart city Metric (mathematics) 0202 electrical engineering electronic engineering information engineering business Intelligent transportation system Computer network |
| Zdroj: | Soft Computing Applications ISBN: 9783030519919 |
| DOI: | 10.1007/978-3-030-51992-6_23 |
| Popis: | Designing and deploying intelligent transportation systems in a city always requires finding the important intersections, which is itself a difficult and subjective task. Using real-time data collected from a multitude of data sources we propose a new data fusion method and introduce a new metric for evaluating node importance based on the traffic volume. We correlate this metric with the one of network betweenness, proving the possibility of using the latter with good enough results for practical applications. |
| Databáze: | OpenAIRE |
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