1. Statistics and prediction of vehicle–bridge collisions in Quebec.
- Author
-
Berton, E., Bouaanani, N., Lamarche, C.-P., and Roy, N.
- Subjects
- *
ROAD users , *PAVEMENTS , *SPEED limits , *REGRESSION analysis , *FORECASTING - Abstract
Vehicle–bridge collisions (VBCs) can compromise the safety of road users and cause major economic losses. This paper proposes and applies a methodology to investigate such events in Quebec. Relevant data have been collected from various sources and merged to provide a comprehensive database of VBCs that occurred in Quebec between 2000 and 2016. The developed database was used to carry out statistical analyses highlighting the main factors characterizing VBCs, such as vehicle's body type, bridge dimensions, prescribed speed limit, road configuration, road surface condition and lighting. The compiled database was georeferenced in an upgradable map that can be used efficiently to visualize the distribution and evolution of VBCs over a given region of Quebec. A VBC regression model was also developed based on k-fold cross-validation. The proposed model can be updated regularly as new VBCs are reported and then used to identify bridges most likely to be affected by VBCs or prioritize actions to reduce the potential consequences. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF