Assessment of the Long-Term Impacts of Highway–Railway Grade Crossing Countermeasures: A Bayesian Vector Autoregression Modeling Approach

This paper proposes integrated machine learning and time-series models to investigate the long-term impact of a variety of safety countermeasures on the consequence score of train-vehicle collisions at highway–railway grade crossings (HRGCs). To that end, train-vehicle collisions that occurred at HRGCs in the United States between 2009 and 2018 were extracted from the US Federal Railroad Administration (FRA) collision dataset, along with the …