A Bilevel Traffic Data Extraction Procedure via Cellular Phone Network for Intercity Travel
| Autor: | Yarah Basyoni, Hoda Talaat |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Engineering
Data collection Fuzzy classification business.industry Applied Mathematics Fuzzy set Real-time computing Aerospace Engineering Swarm behaviour Floating car data Computer Science Applications Data extraction Control and Systems Engineering Phone Automotive Engineering Cluster analysis business Software Simulation Information Systems |
| Zdroj: | Journal of Intelligent Transportation Systems. 19:289-303 |
| ISSN: | 1547-2442 1547-2450 |
| DOI: | 10.1080/15472450.2014.892380 |
| Popis: | The absence of traffic surveillance infrastructure, in many developing countries, hinders any efforts for dealing with the daily witnessed traffic chaos. The use of the cellular phone (CP) network data for traffic data collection is a promising option for large-scale coverage, given a high CP penetration rate. This article presents a bilevel procedure for the extraction of classified vehicular traffic counts for different vehicle types, in a given roadway segment, for intercity travel. The bilevel procedure operates in an offline setting, independent from any secondary traffic surveillance system. At the first level, cellular phones on board the same vehicle are clustered using a “data swarm clustering” algorithm. At the second level, a genetic fuzzy classifier (GFC) is used for vehicles classification. The development and testing of the proposed procedure was conducted using a traffic/CP simulation platform. At the development phase, the swarm-based clustering algorithm achieved 93% clustering accuracy (... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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