There has been an increasing interest in pedestrian detection in the last decade to save the numerous deaths caused by accidents in which pedestrians are involved. Vehicle manufacturers are addressing these challenges by looking into extendable vehicle body structures , to be activated on first impact with a pedestrian. A complementary approach is to focus on sensor based solutions, which enabl...

Among Advanced Driver Assistance Systems (ADAS) pedestrian detection is a common issue due to the vulnerability of pedestrians in the event of accidents. In the present work, a novel approach for pedestrian detection based on data fusion is presented. Data fusion helps to overcome the limitations inherent to each detection system (computer vision and laser scanner) and provides accurate and tru...

The incidence of child injury due to road traffic accidents appears to be positively associated with socio-economic deprivation. However, the reasons behind this relationship have proven difficult to identify. In this paper, we present results from a cross-sectional analysis using generalized linear regression models of child pedestrian casualties for the wards of England. We find that there ar...

Pedestrian detection is an important problem in the design of driving assistance systems that can reduce accidents and save lives. Although many annotated visible pedestrian datasets are publically available, similar annotated thermal datasets are rare. Such datasets are essential for training a classifier that can be used for pedestrian detection at night from thermal images. Manual annotation...

MODELING AND ANALYSIS OF PEDESTRIAN FLOWS by Romesh Khaddar 〈Dr. Zhonghai Ding〉, Examination Committee Chair University of Nevada, Las Vegas According to the Traveler Opinion and Perception Survey of 2005, about 107.4 million Americans regularly use walking as a mode of transport during their commute, which amounts for 51% of the total American population. In 2009, 4092 pedestrian fatalities we...

Pedestrian accidents are one of the most prominent causes of premature injury, handicap and death in the modem world. In children, the problem is so severe that pedestrian accidents are widely regarded as the most serious of all health risks facing children in developed countries. Not surprisingly, educational measures have long been advocated as a means of teaching children how to cope with tr...

Vehicle-pedestrian accidents are one of the main types road traffic in China because their mixed features. By analyzing characteristics vehicle-pedestrian accidents, head injury criterion (HIC) was selected as a quantitative index pedestrian risk, and collision simulation tests were carried out using PC-Crash. From collected test data, multivariate relationship models between HIC, vehicle speed...

I present evidence that social capital reduces traffic accidents and related death and injury, using data from a ten-year panel of 48 U.S. states. The econometric challenge is to distinguish the causal effects of social capital from bias resulting from its correlation with unobservable characteristics by state that influence road risks. I accomplish this by employing snow depth as an instrument...

This paper focuses on identifying the appropriate ordered response structure for modeling pedestrian injury severity. The alternative ordered response approaches considered for the empirical analysis include: ordered logit model (OL), generalized ordered logit model (GOL) and latent segmentation based ordered logit model (LSOL). The GOL and LSOL models enhance the traditional OL model in differ...