[HTML][HTML] Intelligent collision risk detection in medium-sized cities of develo** countries, using naturalistic driving: A review

JJ Paredes, SF Yepes, R Salazar-Cabrera… - Journal of traffic and …, 2022 - Elsevier
Traffic accidents are one of the most serious problems worldwide, being one of the leading
causes of death and economic loss in the world. Low-and middle-income countries, mainly …

Driving risk prevention in usage-based insurance services based on interpretable machine learning and telematics data

HJ Li, XG Luo, ZL Zhang, W Jiang, SW Huang - Decision Support Systems, 2023 - Elsevier
Usage-based insurance (UBI) adjusts premiums based on an individual policyholder's
dynamic risk evaluation, incentivizing policyholders to maintain safe driving behavior in …

Collision-free emergency planning and control methods for CAVs considering intentions of surrounding vehicles

S Zhao, J Zhang, C He, M Huang, Y Ji, W Liu - ISA transactions, 2023 - Elsevier
Autonomous emergency braking (AEB) systems are able to control vehicles as needed to
avoid vehicle rear-end collisions. However, these systems are ineffective in scenarios with …

Personalized subjective driving risk: Analysis and prediction

N Bao, A Carballo, C Miyajima, E Takeuchi… - Journal of Robotics …, 2020 - jstage.jst.go.jp
Subjective risk assessment is an important technology for enhancing driving safety, because
an individual adjusts his/her driving behavior according to his/her own subjective perception …

Quantification of Rear‐End Crash Risk and Analysis of Its Influencing Factors Based on a New Surrogate Safety Measure

Q Shangguan, T Fu, J Wang, R Jiang… - Journal of advanced …, 2021 - Wiley Online Library
Traditional surrogate measures of safety (SMoS) cannot fully consider the crash mechanism
or fail to reflect the crash probability and crash severity at the same time. In addition, driving …

Active collision avoidance system based on TimesNet behavioral game model and ABAPF risk quantification map

S He, H Chen, L He, E Xu, T Tang - Measurement, 2025 - Elsevier
Active collision avoidance is necessary to avoid vehicle collisions. However, existing
methods often have difficulties in detecting the potential risks of nearby vehicles and do not …

Policy-Oriented Cognitive Risk Map Modeling for Lane Change via Deep Successor Representation

D Chen, C Lu, Y Liu, X Meng… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Risk assessment plays an essential role in the improvement of driving safety for intelligent
vehicles. Current methods ignoring the predictive and personalized impact of driving …

Design, development and validation of an intelligent collision risk detection system to improve transportation safety: the case of the city of Popayán, Colombia

SF Yepes Chamorro, JJ Paredes Rosero… - Sustainability, 2022 - mdpi.com
Several approaches from different perspectives have been used to solve problems with
traffic accidents (TA), which mainly affect low-and middle-income countries. Conditions of …

Safe-Path: A Perspective on Next-Generation Road Safety Recommendations

K Ibtissem, F Noura, F Sami - International Conference on Web Information …, 2024 - Springer
Recommending safe routes has become a fundamental necessity due to the increasing
number of accidents. This heavily relies on how to evaluate the road severity. Existing …

Investigating the Relationship Between a Driver's Psychological Feelings and Biosensor Data

S Mostowfi, JH Kim, WG Buttlar - … in Health, Transport, and Industry: 23rd …, 2021 - Springer
Recent studies show that emotional changes can influence driving behavior. For example,
positive valence could enable better takeover performance in regaining vehicle control. On …