A simple, but realistic, model of an autonomous emergency brake (AEB) system was studied. Using Matlab, the model was applied to 543 car‐to‐pedestrian and 607 car‐to‐bicyclist real‐world collisions gathered from the highly detailed German In‐Depth Accident Study Pre‐Crash Matrix (GIDAS PCM) and weighted for representativeness. All collisions were to the front of the car. The aim was ...

Abstract More and more cities worldwide are striving for sustainability livability. Measuring the service or performance of local-scale spaces pedestrians bicyclists to better understand how provide “walkable” “bikeable” environments is key in this endeavor enhance active transportation. These pedestrian bicycle indicators, such as Level Traffic Stress Service, relate measurable characteristics...

Reduced traffic exposure due to COVID-19 lockdowns may have resulted in changes both the frequency and severity of motor vehicle crashes. In order better understand impact on safety outcomes US DOT Region 6, we explored role vehicle, user, built environment factors fatalities, injuries, total crashes before during Oklahoma Texas. Findings suggest that while crash counts 6 were 45%-50% lower tha...

Injuries and fatalities for vulnerable road users, especially bicyclists pedestrians, are on the rise. To better inform design we need to evaluate how bicyclist pedestrian behavior physiological states change in different roadway contextual settings. Previous research highlights advantages of using immersive virtual environments (IVEs) conducting studies. These do not put participants at risk i...

This paper attempts to identify which side of the road a bicycle is currently riding on using common camera for realizing an advanced navigation system and safety support system. To roadway area, proposed method performs semantic segmentation front image captured by drive recorder or smartphone. If area extends from center right, bicyclist left (i.e., correct position in Japan). In contrast, if...