Triboelectric nanogenerators (TENG) have progressed over the years, bringing significant
benefits to self-powered sensing owing to the compelling features of high sensitivity, low …

Spatial analyses of crashes have been adopted in road safety for decades in order to
determine how crashes are affected by neighboring locations, how the influence of …

Traffic monitoring and safety are key for reducing road accidents because the road network
is increasing rapidly and becoming completed day by day. Various energy harvesters and …

This study proposes a multivariate spatial model to simultaneously analyze the occurrence
of motor vehicle, bicycle and pedestrian crashes at urban intersections. The proposed model …

Road safety is a major public health issue, with road crashes accounting for one-fourth of all
documented injuries. In these crashes, pedestrians are more vulnerable to fatal and/or …

The paper presents a cross-comparison of different estimation methods to model pedestrian
and bicycle crashes. The study contributes to macro level safety studies by providing further …

There have been great efforts to develop traffic crash prediction models for various types of
facilities. The crash models have played a key role to identify crash hotspots and evaluate …

Traditional accident analysis typically explores non-time-varying (stationary) factors that
affect accident occurrence on roadway segments. However, the impact of time-varying …

Pedestrian safety has become one of the most important issues in the field of traffic safety.
This study aims at investigating the association between pedestrian crash frequency and …

Recent studies have begun to shed more light on the crashes experienced on rural roads by
examining the influence of a road's pavement surface condition. In a bid to contribute to this …