Using closed-circuit television cameras to analyze traffic safety at intersections based on vehicle key points detection
In the within-intersection area, vehicles from different approaches make turning movements
resulting in many conflict points. Hence, drivers are more prone to make mistakes in that …
resulting in many conflict points. Hence, drivers are more prone to make mistakes in that …
Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network
Pedestrian protection is an important component of road safety. Intersections are dangerous
locations for pedestrians with mixed traffic. This paper aims to predict potential traffic …
locations for pedestrians with mixed traffic. This paper aims to predict potential traffic …
Investigating secondary pedestrian-vehicle interactions at non-signalized intersections using vision-based trajectory data
Vision-based trajectory data provides great details for investigating microscopic behavior
and road safety at the level of interactions. Most studies investigating pedestrian-vehicle …
and road safety at the level of interactions. Most studies investigating pedestrian-vehicle …
An Advanced Driver Information System at Critical Points in the Multimodal Traffic Network
Enhancing traffic safety is one of the fundamental objectives of Intelligent Transport Systems
(ITS), and it aligns closely with the principles of sustainable transport. Due to specific …
(ITS), and it aligns closely with the principles of sustainable transport. Due to specific …
Crash prediction based on traffic platoon characteristics using floating car trajectory data and the machine learning approach
J Wang, T Luo, T Fu - Accident Analysis & Prevention, 2019 - Elsevier
Predicting crash propensity helps study safety on urban expressways in order to implement
countermeasures and make improvements. It also helps identify and prevent crashes before …
countermeasures and make improvements. It also helps identify and prevent crashes before …
Comparison of different models for evaluating vehicle collision risks at upstream diverging area of toll plaza
Toll plazas with both Electronic Toll Collection (ETC) lane (s) and Manual Toll Collection
(MTC) lane (s) could increase crash risks especially at upstream diverging areas because of …
(MTC) lane (s) could increase crash risks especially at upstream diverging areas because of …
Developing and evaluating the context-aware performance of synchronization control in the real-time network protocol for the connected vehicle
TP Nguyen, H Nguyen, HQT Ngo - Mobile Networks and Applications, 2023 - Springer
In the context of Industry 4.0, connected vehicles have become one of the trending
innovations. The novel concept of this research is to successfully integrate real-time network …
innovations. The novel concept of this research is to successfully integrate real-time network …
Automated safety diagnosis based on unmanned aerial vehicle video and deep learning algorithm
This paper presents an automated traffic safety diagnostics solution named “Automated
Roadway Conflict Identification System”(ARCIS) that uses deep learning techniques to …
Roadway Conflict Identification System”(ARCIS) that uses deep learning techniques to …
A novel cooperation-guided warning of invisible danger from AR-HUD to enhance driver's perception
F You, J Zhang, J Zhang, L Shen, W Fang… - … Journal of Human …, 2024 - Taylor & Francis
Augmented Reality (AR) has the potential to help drivers become aware of invisible hazards
through an Augmented Reality Head-Up Display (AR-HUD). However, this issue is still …
through an Augmented Reality Head-Up Display (AR-HUD). However, this issue is still …
Time-varying analysis of traffic conflicts at the upstream approach of toll plaza
This study investigates the traffic conflict risks at the upstream approach of toll plaza during
the vehicles' diverging period from the time of arrival at the diverging area to that of entering …
the vehicles' diverging period from the time of arrival at the diverging area to that of entering …