This paper proposes a sensor fusion based obstacle detection/classification system for active pedestrian protection system. At the frontend of vehicle, one laser scanner and one camera is installed. Clustering and tracking of range data from laser scanner generate obstacle candidates. Vision system classifies the candidates into three categories: pedestrian, vehicle, and other. Gabor filter ban...

This paper presents a new method for extracting pedestrian contours from images using 2D and 3D information obtained from a stereo-vision acquisition system. Two pedestrian contour types are extracted. First is obtained from static pedestrian confidence images using fixed background scenes and second from general traffic scenes having variable background. A robust approach for building contour ...

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...

Trends in pedestrian injury mortality for children aged 0-4 and 5-14 for England and Wales, Denmark, Sweden, the USA, and New Zealand were examined from 1968 onwards. While there has been a reduction in the pedestrian mortality in all these countries, there are striking international differences in the extent of these reductions. Denmark has achieved the greatest fall in mortality with the smal...

Pedestrian-related crashes cause an estimated 1.2 million deaths and 50 million injuries worldwide. There were 32,590 nonfatal injuries reported among children 0 to 14 years of age in the United States in 2006. The incidence of pedestrian injuries seems to be decreasing due to improvements in trauma care and a nationwide decline in walking. This article is a special communication and overview o...

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...

Accident data shows that the vast majority of pedestrian accidents involve a passenger car. A refined method for estimating the potential effectiveness of a technology designed to support the car driver in mitigating or avoiding pedestrian accidents is presented. The basis of the benefit prediction method consists of accident scenario information for pedestrian-passenger car accidents from GIDA...

Pedestrian-oriented transportation has recently emerged as an important issue to supplement transportation modes as a method to reduce traffic accidents and environmental pollution. Compared to the increasing attention, practical studies considering the transportation environment in Korea are very limited. As a first step for studying the service level of pedestrian environment, it is necessary...

Pedestrian-vehicle conflicts are considered as one of the most common safety problems at signalized intersections. The threat to pedestrian safety is mainly related to the interaction with turning vehicles, especially left-turners (left-hand traffic). This paper aims at analyzing the lag/gap acceptance behavior of left-turning vehicles considering pedestrian movement at signalized crosswalks. F...

OBJECTIVE To estimate and compare the rate of pedestrian injuries in primary school-attending children of urban Uganda using different data sources. DESIGN Data collection from a hospital-based trauma registry, police data, teacher reports, and a cross-sectional community-based survey. SETTING Kawempe, the largest urban district in the capital Kampala, Uganda. Patients or SUBJECTS Primary...