Real Time Safety Model for Pedestrian Red-Light Running at Signalized Intersections in China

Quasi-induced Exposure Method for Pedestrian Safety at Signalized Intersections

To investigate pedestrian exposure when only pedestrian-crash data are available, the quasi-induced exposure method is used to identify the factors that contributed to pedestrian-vehicle crashes in Las Vegas from 2004 to 2008. The results show that overall crash severity, light conditions and weather conditions are potentially risky factors in pedestrian crashes, and the time of day or day of t...

Development of a red-light running violation index model for signalized intersections

The installation of Red-Light Cameras (RLCs) is often based on frequencies of Red Light Violations at signalized intersections. Since frequencies could be influenced by geometrical features of intersecting roadways and overall vehicular volumes (or exposure) there is doubt about their appropriateness in making decisions regarding the installation of RLCs. Inappropriate installation could result...

Impact of Signal Mounting Configurations on red-light running at urban Signalized Intersections

by Kerrie l. schAttler, ph.d., deborAh mcAvoy, ph.d., p.e., ptoe, mAtthew t. christ, msce, And collette m. glAuber introduction Navigating through signalized intersections is considered to be one of the most complex driving tasks. In 2007, the National Highway Traffic Safety Administration (NHTSA) reported that 8,650 people were killed as a result of intersection-related crashes.1 A high propor...

Pedestrian sensing for increased traffic safety and efficiency at signalized intersections

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...