A5062804433- Traffic and Road Safety
- Urban Transport and Accessibility
- Injury Epidemiology and Prevention
- Transportation Safety and Impact Analysis
- Human-Automation Interaction and Safety
- Traffic Prediction and Management Techniques
- Air Quality and Health Impacts
University of Connecticut
2020-2022
The injury severity of a driver in crash is significantly related to the driver's age and gender vehicle characteristics. Previous studies have used only information about most severely injured represent severity, ignoring other drivers involved crash, which can also be important explain severity. This study uses demographic all multi-vehicle predict using partial proportional odds model. Models incorporating characteristics vehicles were compared with models considering terms significance...
Quasi-induced exposure (QIE) is an effective technique for estimating the of a specific driving or vehicle population when real data are not available. Typically crash prediction models carried out at site level, that is, segment intersection. Driving characteristics generally available this however, and thus omitted from count models. Because sparsity traffic crashes, distributions level using individual sites challenging. This study proposes to obtain demographic proportions incorporate in...
Crash risk depends on several factors, driver factors being the most significant of all. Previous studies have tended to use roadway and demographic information explain crash risk, overlooking psychological characteristics, which are also important for estimation. data from police reports available only reportable crashes do not detail characteristics or comparable driving activities. Naturalistic (NDSs) offer unique opportunities obtain about attributes, behavior, other precrash predicting...