Pedestrian are most at risk when crossing a road section with a large amount of pedestrian-vehicle interaction. Thus, an understanding of the complex interaction between pedestrian behaviour, signal setting and environment is essential to assess the contribution of these factors to pedestrian accidents. The complexity of these interactions could possibly been described and explored using a powe...

INTRODUCTION Pedestrian-vehicle crashes result in a substantial number of pedestrian fatalities and injuries worldwide. Computer models are powerful tools in understanding how the severity of injuries could have been reduced in the crash. Pedestrian real-world cases serve as an important source of information to evaluate the dynamic performance of pedestrian models and their ability to reconstr...

Modeling pedestrian traffic at the micro-level is a relatively young research area. The key to success is driven on the ability to appropriately model crowd behavior that arises in pedestrian traffic. One method of validation for such simulation models examines their ability to reproduce commonly observed crowd behavior. This paper demonstrates how commonly observed crowd behavior emerges from ...

Microscopic models are state of the art for computer simulation of pedestrian dynamics. The modeling of the individual movement of pedestrians is used to design a description of macroscopic pedestrian flow which allows e.g. the evaluation of escape routes, the design of pedestrian facilities and the study of more theoretical questions. For a first overview see [1–3]. One primary test, whether a...

This paper presents an inertial-sensor-based wearable device and its associated pedestrian trajectory reconstruction algorithm to reconstruct indoor pedestrian trajectories. The wearable device is composed of a triaxial accelerometer, a triaxial gyroscope, a triaxial magnetometer, a microcontroller, and a Bluetooth wireless transmission module. Users can carry the device to walk in indoor envir...

PURPOSE Over 8,000 American adolescents ages 14-15 years require medical attention owing to pedestrian injury annually. Cognitive factors contributing to pedestrian safety include reaction time, impulsivity, risk taking, attention, and decision making. These characteristics are also influenced by sleep restriction. Experts recommend that adolescents obtain 8.5 hours of uninterrupted sleep each ...

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...

With the increase of requirement for improving the safety of night driving, automatic pedestrian detection has received more and more attraction. This paper mainly introduces a pedestrian detection method in infrared images. Base on the properties of infrared images, we present a two-step pedestrian detection method including pedestrian candidate selection and validation. The first step is loca...

Pedestrian injuries and fatalities present a problem all over the world. Pedestrian conformity violation behaviors, which lead to many pedestrian crashes, are common phenomena at the signalized intersections in China. The concepts and metrics of complex networks are applied to analyze the structural characteristics and evolution rules of pedestrian network about the conformity violation crossin...

We develop predictive models of pedestrian dynamics by encoding the coupled nature of multi-pedestrian interaction using game theory, and deep learning-based visual analysis to estimate person-specific behavior parameters. Building predictive models for multi-pedestrian interactions however, is very challenging due to two reasons: (1) the dynamics of interaction are complex interdependent proce...