Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study.

Przemysław Sekuła,Nikola Marković,Zachary Vander Laan,Kaveh Farokhi Sadabadi

Transportation Research Part C: Emerging Technologies（2018）

引用 48|浏览7

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摘要

•Estimating historical traffic volumes between sparsely-located traffic sensors is addressed.•Neural network yields 24% more accurate results than the state of the practice approach.•Value of vehicle probe data in estimating historical traffic volumes is quantified.

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关键词

Traffic volume estimation,Regression,Multi-layered neural networks,Vehicle probe data

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