Triboelectric nanogenerator as next-generation self-powered sensor for cooperative vehicle-infrastructure system
Y Pang, X Zhu, C Lee, S Liu - Nano Energy, 2022 - Elsevier
Triboelectric nanogenerators (TENG) have progressed over the years, bringing significant
benefits to self-powered sensing owing to the compelling features of high sensitivity, low …
benefits to self-powered sensing owing to the compelling features of high sensitivity, low …
A review of spatial approaches in road safety
A Ziakopoulos, G Yannis - Accident Analysis & Prevention, 2020 - Elsevier
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 …
determine how crashes are affected by neighboring locations, how the influence of …
A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics
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 …
documented injuries. In these crashes, pedestrians are more vulnerable to fatal and/or …
A multivariate spatial model of crash frequency by transportation modes for urban intersections
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 …
of motor vehicle, bicycle and pedestrian crashes at urban intersections. The proposed model …
Analysis of stationary and dynamic factors affecting highway accident occurrence: A dynamic correlated grouped random parameters binary logit approach
Traditional accident analysis typically explores non-time-varying (stationary) factors that
affect accident occurrence on roadway segments. However, the impact of time-varying …
affect accident occurrence on roadway segments. However, the impact of time-varying …
Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods
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 …
and bicycle crashes. The study contributes to macro level safety studies by providing further …
Impact of road-surface condition on rural highway safety: A multivariate random parameters negative binomial approach
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 …
examining the influence of a road's pavement surface condition. In a bid to contribute to this …
Triboelectric nanogenerator for smart traffic monitoring and safety
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 …
is increasing rapidly and becoming completed day by day. Various energy harvesters and …
Macro-level safety analysis of pedestrian crashes in Shanghai, China
X Wang, J Yang, C Lee, Z Ji, S You - Accident Analysis & Prevention, 2016 - Elsevier
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 …
This study aims at investigating the association between pedestrian crash frequency and …
Intersection crash prediction modeling with macro-level data from various geographic units
J Lee, M Abdel-Aty, Q Cai - Accident Analysis & Prevention, 2017 - Elsevier
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 …
facilities. The crash models have played a key role to identify crash hotspots and evaluate …