Significant trends in the vehicle industry are autonomous driving, micromobility, electrification and increased use of shared mobility solutions. These new automation classes lead to a larger number occupant positions, interiors load directions. As safety systems interact with protect occupants, it is essential place human, its variability vulnerability, at center design operation these systems...

This study aims at 'predicting' the occurrence of lane-change related freeway crashes using the traffic surveillance data collected from a pair of dual loop detectors. The approach adopted here involves developing classification models using the historical crash data and corresponding information on real-time traffic parameters obtained from loop detectors. The historical crash and loop detecto...

There has been considerable research conducted on the development of statistical models for predicting motor vehicle crashes on highway facilities. Over the last few years, there has been a significant increase in the application hierarchical Bayes methods for modeling motor vehicle crash data. Whether the inferences are estimated using classical or Bayesian methods, the most common probabilist...

Multinomial logit (MNL) models have been applied extensively in the fields of transportation engineering, marketing and recreational demand modeling. So far, this type of model has not been used to estimate the proportion of crashes by collision type. Consequently, the objective of this study consists of investigating the applicability of MNL models for predicting the proportion of crashes by c...

Random effect panel data hurdle models are established to research the daily crash frequency on a mountainous section of highway I-70 in Colorado. Road Weather Information System (RWIS) real-time traffic and weather and road surface conditions are merged into the models incorporating road characteristics. The random effect hurdle negative binomial (REHNB) model is developed to study the daily c...

Motor vehicle crashes are one of the leading causes of death among young Americans. They also experience higher percentage of single vehicle, Run-off-the-road (ROR) crashes compared to other drivers. When looking at the methods of improving the alarming death rate of young drivers, it is important to identify the determinants of higher crash and injury severity. With that intention, the study d...

For most ofthe last 50 years, to promote a safe banking system, the U.S. Congress has imposed interest rate ceilings on bank deposits. Federal legislation passed in the wake of the 1930s banking crisis prohibited banks from paying any interest on checking accounts and authorized the Federal Reserve Board of Governors to set upper limits on the rates banks could offer on time and savings account...

Detailed finite element modeling of the human body offers a potential major enhancement to the prediction of injury risk during vehicle impacts. Currently, vehicle crash safety countermeasure development is based on a combination of testing with established anthropomorphic test devices (i.e., ATD or dummy) and a mixture of multi­ body (dummy) and finite element (vehicle) modeling. If a relative...

INTRODUCTION This study examines the data from single loop detectors on northbound (NB) US-101 in San Jose, California to estimate real-time crash risk assessment models. METHOD The classification tree and neural network based crash risk assessment models developed with data from NB US-101 are applied to data from the same freeway, as well as to the data from nearby segments of the SB US-101,...

Highway work zones interrupt regular traffic flows and create safety problems. Improving safety without sacrificing the main function of highways is a challenging task that traffic engineers and researchers have to confront. In this study, the concept of using crash severity index (CSI) for work zone safety evaluation was proposed and a set of CSI models were developed through the modeling of w...