نتایج جستجو برای: crash prediction models
تعداد نتایج: 1116523 فیلتر نتایج به سال:
OBJECTIVE The accuracy of pre-hospital crash scene details and crash victim assessment has important implications for initial trauma care assessment and management. Similarly, it is known to influence physician perception of crash victim injury severity. The goal of this feasibility study was to examine paramedic accuracy in predicting crash victim injury profile, disability outcome at hospital...
Secondary crash (SC) occurrences are major contributors to traffic delay and reduced safety, particularly in urban areas. National, state, and local agencies are investing substantial amount of resources to identify and mitigate secondary crashes to reduce congestion, related fatalities, injuries, and property damages. Though a relatively small portion of all crashes are secondary, determining ...
Advanced Human Body FE models are now being used extensively in the development process of vehicle safety systems. This tool on one hand aids in the optimization of restraint systems and on the other hand also provides a detailed analysis of injury mechanisms when used within accident reconstruction. A good documented (injury patterns & physical loading conditions) real world crash and its reco...
This paper applies a nonparametric statistical method, hierarchical tree-based regression (HTBR), to explore train-vehicle crash prediction and analysis at passive highway-rail grade crossings. Using the Federal Railroad Administration (FRA) database, the research focuses on 27 years of train-vehicle accident history in the United States from 1980 through 2006. A cross-sectional statistical ana...
This study aims to evaluate the impact of pavement physical characteristics on the frequency of single-vehicle run-off-road (ROR) crashes in two-lane separated rural highways. In order to achieve this goal and to introduce the most accurate crash prediction model (CPM), authors have tried to develop generalized linear models, including the Poisson regression (PR), negative binomial regression (...
Safety performance functions (SPFs), by predicting the number of crashes on roadway facilities, have been a vital tool in the highway safety area. The SPFs are typically applied for identifying hot spots in network screening and evaluating the effectiveness of road safety countermeasures. The Highway Safety Manual (HSM) provides a series of SPFs for several crash types by various roadway facili...
1 Weaving is defined as the crossing of two streams travelling in the same direction along a 2 significant section of the road without the assistance of traffic control devices. Merging and 3 diverging vehicles need to make one or more lane-changes in a limited space and time, 4 determined by the weaving section length. This situation creates intensive lane-change 5 maneuvers, combined with hea...
vehicle occupants comprise a considerable proportion of traffic crash victims in iran. this paper has focused on vehicleoccupants’ injury severity and employed the classification and regression tree (cart) technique in order toidentify the most important variables affecting the injury severity of these road users in crashes occurred on rural freewaysand multilane highways in iran over a three y...
The real-time crash likelihood prediction has been an important research topic. Various classifiers, such as support vector machine (SVM) and tree-based boosting algorithms, have been proposed in traffic safety studies. However, few research focuses on the missing data imputation in real-time crash likelihood prediction, although missing values are commonly observed due to breakdown of sensors ...
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