264 research outputs found
Congestion prediction on motorways:a comparative analysis
The paper reports on the evaluation of the performance of various short-term congestion prediction methods, i.e. multi-linear regression, time series analysis, multi-layer perceptrons, radial basis function networks, self-organising systems, and fuzzy logic. Data were gathered through dual induction loops on a A10 motorway section in the Netherlands during a fourweek period. The data consist of 1 minute aggregated time bins of volume, occupancy, speed, and both a reliability and a congestion indicator. The method's results are similar, except for multi-linear regression. Self-organising systems were omitted due to huge error production
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