2 papers
stat.ML2017
Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study
Przemysław Sekuła, Nikola Marković, Zachary Vander Laan +1
This paper focuses on the problem of estimating historical traffic volumes between sparsely-located traffic sensors, which transportation agencies need to accurately compute statew…
stat.ML2017
Applications of Trajectory Data from the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study
Nikola Marković, Przemysław Sekuła, Zachary Vander Laan +2
Transportation agencies have an opportunity to leverage increasingly-available trajectory datasets to improve their analyses and decision-making processes. However, this data is ty…