Modeling pedestrians' near-accident events at signalized intersections using gated recurrent unit (GRU)
Pedestrian safety plays an important role in the transportation system. Intersections are
dangerous locations for pedestrians with mixed traffic. This paper aims to predict the near …
dangerous locations for pedestrians with mixed traffic. This paper aims to predict the near …
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 …
Applying machine learning and google street view to explore effects of drivers' visual environment on traffic safety
This study aims to explore the effects of drivers' visual environment on speeding crashes by
using different machine learning techniques. To obtain the data of drivers' visual …
using different machine learning techniques. To obtain the data of drivers' visual …
The influence of visual landscapes on road traffic safety: An assessment using remote sensing and deep learning
L Liu, Z Gao, P Luo, W Duan, M Hu… - Remote Sensing, 2023 - mdpi.com
Rapid global economic development, population growth, and increased motorization have
resulted in significant issues in urban traffic safety. This study explores the intrinsic …
resulted in significant issues in urban traffic safety. This study explores the intrinsic …
Proactive safety monitoring: A functional approach to detect safety-related anomalies using unmanned aerial vehicle video data
The advent of smart cities has motivated the field of transportation safety to transition
towards a proactive approach that anticipates and mitigates risks before crashes occur. One …
towards a proactive approach that anticipates and mitigates risks before crashes occur. One …
Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach
The primary objective of this study was to evaluate the impacts of traffic states on crash risk
in the vicinities of Type A weaving segments. A deep convolutional embedded clustering …
in the vicinities of Type A weaving segments. A deep convolutional embedded clustering …
Insights into vehicle conflicts based on traffic flow dynamics
The utilization of traffic conflict indicators is crucial for assessing traffic safety, especially
when the crash data is unavailable. To identify traffic conflicts based on traffic flow …
when the crash data is unavailable. To identify traffic conflicts based on traffic flow …
PPNNP: A privacy-preserving neural network prediction with separated data providers using multi-client inner-product encryption
In a neural network of deep learning, it needs a series of algorithms that endeavor to
recognize underlying relationships in a set of data. In order to protect the privacy of user's …
recognize underlying relationships in a set of data. In order to protect the privacy of user's …
Addressing unobserved heterogeneity at road user level for the analysis of conflict risk at tunnel toll plaza: A correlated grouped random parameters logit approach …
Toll plaza is a designated area of controlled-access roads like expressway, bridge, and
tunnel for toll collection. A number of toll booths are often placed at the toll plaza …
tunnel for toll collection. A number of toll booths are often placed at the toll plaza …
Automated vehicle to vehicle conflict analysis at signalized intersections by camera and LiDAR sensor fusion
This research presents a robust approach for automated safety diagnosis using sensor
fusion techniques. This work fuses the outputs of a roadside low-resolution camera and a …
fusion techniques. This work fuses the outputs of a roadside low-resolution camera and a …