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20192022
most citedAn Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization

53 citations · 137 across the 8 of their papers we have counts for

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eess.SP2019★ 13 cited

Highway traffic data: macroscopic, microscopic and criticality analysis for capturing relevant traffic scenarios and traffic modeling based on the highD data set

Friedrich Kruber, Jonas Wurst, Samarjit Chakraborty +1

This work provides a comprehensive analysis on naturalistic driving behavior for highways based on the highD data set. Two thematic fields are considered. First, some macroscopic a…