Hierarchical Regression Model for Truck Collision Severity Analysis

Abstract:

Collisions involving trucks have long been a major safety concern for the collision severity. This paper describes the rationale and construction of a hierarchical model that can be used to assess severity of truck collisions in a freeway network. The outcome of models and associated data analysis revealed that presence of ramp and freeway segment length were important factors affecting truck safety performance. Furthermore, weather condition was found to be a significant factor in the severity of truck collisions. Using these models, practitioners can identify freeway sites where truck crashes are more likely to occur and then take measure to mitigate the severity.

• Periodical: Advanced Materials Research (Volumes 671-674)
• Pages: 2889-2892
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.671-674.2889
• Online since: March 2013
• Authors: Hui Li Wang, Zhong Ke Shi
• Keywords: Crashes Severity, Hierarchical Regression Model, Truck Collision, Weather

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