“Cyclist at 12 o'clock!”: a systematic review of in-vehicle advanced driver assistance systems (ADAS) for preventing car-rider crashes
Introduction While Advanced Driver Assistance Systems (ADAS) have become a prominent
topic in road safety research, there has been relatively little discussion about their …
topic in road safety research, there has been relatively little discussion about their …
An integrated text mining, literature review, and meta-analysis approach to investigate pedestrian violation behaviours
The goal of this study is to provide an overview of previous research that investigated
pedestrian violation behaviour, with a focus on identifying the contributing factors of such …
pedestrian violation behaviour, with a focus on identifying the contributing factors of such …
Pedestrian crossing intention prediction at red-light using pose estimation
Pedestrians' red-light crossing can present a threat to traffic safety. Among all the existing
work related to pedestrian's red-light crossing, there are few studies using trajectory data in …
work related to pedestrian's red-light crossing, there are few studies using trajectory data in …
Prediction of pedestrian crossing intentions at intersections based on long short-term memory recurrent neural network
Traffic violations of pedestrians at intersections are major causes of road crashes involving
pedestrians, especially red-light crossing behaviors. To predict the pedestrians' red-light …
pedestrians, especially red-light crossing behaviors. To predict the pedestrians' red-light …
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 …
A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure
Road traffic accidents, especially vehicle–pedestrian collisions in crosswalk, globally pose a
severe threat to human lives and have become a leading cause of premature deaths. In …
severe threat to human lives and have become a leading cause of premature deaths. In …
Analyzing vehicle–pedestrian interactions: Combining data cube structure and predictive collision risk estimation model
Road traffic accidents are a severe threat to human lives, particularly to vulnerable road
users (VRUs) such as pedestrians causing premature deaths. Therefore, it is necessary to …
users (VRUs) such as pedestrians causing premature deaths. Therefore, it is necessary to …
Development of AI‐Based Vehicle Detection and Tracking System for C‐ITS Application
There are various means of monitoring traffic situations on roads. Due to the rise of artificial
intelligence (AI) based image processing technology, there is a growing interest in …
intelligence (AI) based image processing technology, there is a growing interest in …
Attention pedestrians ahead: Evaluating user acceptance and perceptions of a cooperative intelligent transportation system-warning system for pedestrians
Warning system for pedestrians (WSP), one of cooperative intelligent transport system (C-
ITS) applications, is designed to increase safety for pedestrians but also for drivers and other …
ITS) applications, is designed to increase safety for pedestrians but also for drivers and other …
Walking secure: Safe routing planning algorithm and pedestrian's crossing intention detector based on fuzzy logic app
JM Lozano Domínguez, TJ Mateo Sanguino - Sensors, 2021 - mdpi.com
Improving road safety through artificial intelligence is now crucial to achieving more secure
smart cities. With this objective, a mobile app based on the integration of the smartphone …
smart cities. With this objective, a mobile app based on the integration of the smartphone …