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Full-Text Articles in Engineering

Developing And Simulating A Communication Plan For Mitigation Of Secondary Crashes: Leveraging Connected Vehicle Technologies, Denis Elia Monyo Jan 2020

Developing And Simulating A Communication Plan For Mitigation Of Secondary Crashes: Leveraging Connected Vehicle Technologies, Denis Elia Monyo

UNF Graduate Theses and Dissertations

The Federal Highway Administration (FHWA) has identified secondary crashes (SCs) on United States (US) highways as one of the core transportation issues that needs to be addressed. These crashes contribute to increased property damage, injuries, and fatalities and a decline in traffic flow conditions on freeways and adjacent arterials. The purpose of this study was to 1) propose a communication plan that leverages connected vehicle (CV) technologies to increase awareness to road users to target the mitigation of SCs, and 2) to evaluate the potential benefits of the proposed communication plan with CV technologies in alleviating SCs.

This study used …


Investigating The Leading Causes Of Fatalities Of Aging Pedestrians Using Bayesian Network Model, Luciano Lalika Jan 2020

Investigating The Leading Causes Of Fatalities Of Aging Pedestrians Using Bayesian Network Model, Luciano Lalika

UNF Graduate Theses and Dissertations

Identifying factors associated with older pedestrian fatalities is key to implementing strategies aimed at improving pedestrian safety. This study focused on investigating the leading risk factors for older pedestrian fatalities at Florida roadway intersections. Analyses consisted of a Bayesian logistic regression (BLR) model to identify significant factors influencing pedestrian fatality, followed by a Bayesian Network (BN) model to identify the leading cause of pedestrian fatality among the statistically significant risk factors. Furthermore, the probabilistic inference of the leading causes of older pedestrian fatalities obtained from the BN was conducted through individual evidence predictive inference, diagnostic inference, and combined evidence predictive …