Analysis and modelling of crash severity of vulnerable road users through discrete methods: a case study approach

Gandupalli, Srinivasa Rao; Kokkeragadda, Purnanandam; Dangeti, Mukund R.

doi:10.1007/s41062-023-01274-8

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Analysis and modelling of crash severity of vulnerable road users through discrete methods: a case study approach

Cited by 2 publications

References 19 publications

Machine Learning Tools for Predicting the Outcome of Pedestrian Crashes: Preliminary Findings in the Metropolitan City of Rome

Machine Learning Tools for Predicting the Outcome of Pedestrian Crashes: Preliminary Findings in the Metropolitan City of Rome

Analyzing injury severity of three-wheeler motorized rickshaws: A correlated random parameters approach with heterogeneity in means

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