Predicting Pedestrian Crashes in Texas’ Intersections and Midblock Segments

Estimating Pedestrian Volumes and Crashes at Urban Signalized Intersections

Crash prediction models are used to estimate the number of crashes using a set of explanatory variables. The highway safety community has used modeling techniques to predict vehicle-to-vehicle crashes for decades. Specifically, generalized linear models (GLMs) are commonly used because they can model non-linear count data such as motor vehicle crashes. Regression models such as the Poisson, Zer...

Evaluation of Pedestrian Safety at Midblock Crossings, Porto Alegre, Brazil

pedestrians and to analyze pedestrian safety at crossings. The main objective of this paper is to present the development of a method to evaluate the potential risk of pedestrian crashes at midblock crossings, consistent with the realities of developing countries. The method comprises the identification of high-frequency crash locations that involve pedestrians, the selection of factors associa...

Pedestrian Injury Severity in Automobile Crashes

This paper analyzes pedestrian injury severity from automobile crashes at signalized intersections in a medium-size city. It estimates an ordered logit model of injury severity and finds that vehicle type, gender, land-use, speed limit, traffic volume, the presence of sidewalks and visual-obstruction significantly explain pedestrian injury severity in vehiclepedestrian crashes at signalized int...

Priority Order for Improvement of Intersections using Pedestrian Crash Prediction Model

One of the most important needs of pedestrians is safety at crossing points, especially at intersections. Intersections are important parts of the urban road network because any disruption in them reduces the capacity of the entire network. The main objective of this research is to propose an appropriate method for prioritizing urban intersections with considering the important factors affectin...

PEDESTRIAN CONTROL AT INTERSECTIONS - Phase III April