A review of research on traffic conflicts based on intelligent vehicles

L Hu, J Ou, J Huang, Y Chen, D Cao - Ieee Access, 2020 - ieeexplore.ieee.org
The traffic situation at an urban intersection is complicated, due to the numerous internal
conflicts and all kinds of traffic accidents. With the objective of improving road safety, the …

A comprehensive survey on cooperative intersection management for heterogeneous connected vehicles

A Gholamhosseinian, J Seitz - IEEE Access, 2022 - ieeexplore.ieee.org
Nowadays, with the advancement of technology, world is trending toward high mobility and
dynamics. In this context, intersection management (IM) as one of the most crucial elements …

Learning from interaction-enhanced scene graph for pedestrian collision risk assessment

X Liu, Y Zhou, C Gou - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Collision risk assessment aims to provide a subjective cognitive comprehension of the risk
level in driving scenarios, which is critical for the safety of autonomous driving systems …

A conflict-based approach for real-time road safety analysis: Comparative evaluation with crash-based models

F Orsini, G Gecchele, R Rossi, M Gastaldi - Accident Analysis & Prevention, 2021 - Elsevier
An innovative approach for real-time road safety analysis is presented in this work. Unlike
traditional real-time crash prediction models (RTCPMs), in which crash data are used in the …

Interactive decision-making with switchable game modes for automated vehicles at intersections

S Jia, Y Zhang, X Li, X Na, Y Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Interactive decision-making between multiple automated vehicles under unsigned
intersections is a high-level dynamic decision-making scenario, greatly increasing the …

A human-vehicle collaborative driving framework for driver assistance

D Tran, J Du, W Sheng, D Osipychev… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
With a goal to improve transportation safety, this paper proposes a collaborative driving
framework based on assessments of both internal and external risks involved in vehicle …

Predicting collision cases at unsignalized intersections using EEG metrics and driving simulator platform

X Zhang, X Yan - Accident Analysis & Prevention, 2023 - Elsevier
Unsignalized intersection collision has been one of the most dangerous accidents in the
world. How to identify road hazards and predict the potential intersection collision ahead are …

A Decision‐Making Model for Autonomous Vehicles at Urban Intersections Based on Conflict Resolution

Z Wang, X Chen, P Wang, M Li, Y Ou… - Journal of advanced …, 2021 - Wiley Online Library
The decision‐making models that are able to deal with complex and dynamic urban
intersections are critical for the development of autonomous vehicles. A key challenge in …

An innovative multi-sensor fusion algorithm to enhance positioning accuracy of an instrumented bicycle

S Miah, E Milonidis, I Kaparias… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Cycling is an increasingly popular mode of travel in cities, but its poor safety record currently
acts as a hurdle to its wider adoption as a real alternative to the private car. A particular …

A survey of safety warnings under connected vehicle environments

H Li, G Zhao, L Qin, H Aizeke, X Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
According to many studies, motor vehicle collisions lead to many deaths and disabilities,
and bring about huge economic losses to societies and individuals around the world. If risky …