Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: Applications to grade crossing safety …
Comparing regions while adjusting for differences in characteristics of sites located in those
regions is valuable since it identifies possible inter-regional dissimilarities in crash risk …
regions is valuable since it identifies possible inter-regional dissimilarities in crash risk …
A knowledge graph-based hazard prediction approach for preventing railway operational accidents
Railway operational accidents are usually caused by the domino effects of hazards.
Predicting such hazards before accidents is an essential way to prevent operational …
Predicting such hazards before accidents is an essential way to prevent operational …
Application of Classification in Machine Learning: An Analysis of Highway-Rail Grade Crossing Systems Safety
CJH Cox - 2020 - repository.fit.edu
Highway-rail grade crossing accidents are the second leading cause of fatalities within the
railway transportation industry. Highway-rail grade crossing fatality statistics have failed to …
railway transportation industry. Highway-rail grade crossing fatality statistics have failed to …
Collision Hotspots Identification Based on Big Data about Aggressive Driving Behaviors
C Bi, Y Su, Y Wang, Z Dong - CICTP 2019, 2019 - ascelibrary.org
Traffic plays a key role in evaluating a country's development. Urbanization, road
construction, and vehicle numbers have increased worldwide, adding to the risk of …
construction, and vehicle numbers have increased worldwide, adding to the risk of …
New insights into active transportation safety: a macro-level analysis framework
AO Amer - 2018 - open.library.ubc.ca
City councils worldwide have shown an increasing interest in active transportation (AT) due
to its health, environmental, and economical benefits. However, active commuters are …
to its health, environmental, and economical benefits. However, active commuters are …