A comprehensive review of driver behavior analysis utilizing smartphones

TK Chan, CS Chin, H Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Human factors are the primary catalyst for traffic accidents. Among different factors, fatigue,
distraction, drunkenness, and/or recklessness are the most common types of abnormal …

[HTML][HTML] PDMAC: A priority-based enhanced TDMA protocol for warning message dissemination in VANETs

G Abbas, ZH Abbas, S Haider, T Baker, S Boudjit… - Sensors, 2019 - mdpi.com
Vehicular ad hoc networks (VANETs) are the key enabling technology for intelligent
transportation systems. Carrier-sense multiple access with collision avoidance (CSMA/CA) …

Multiobjective optimization on cooperative control of autonomous emergency steering and occupant restraint system for enhancing occupant safety

K Liufu, Q Liu, Y Lu, Z Chen, Z Zhang, Q Li - Accident Analysis & Prevention, 2021 - Elsevier
Occupant safety remains one of the most challenging and significant design considerations
in the automotive and transportation industry. Nevertheless, independently developed active …

Machine learning based prediction of crash severity distributions for mitigation strategies

M Müller, M Botsch, D Böhmländer… - Journal of Advances in …, 2018 - opus4.kobv.de
In road traffic, critical situations pass by as quickly as they appear. Within the blink of an eye,
one has to come to a decision, which can make the difference between a low severity, high …

Risk assessment for integral safety in automated driving

CM Hruschka, D Töpfer, S Zug - 2019 2nd International …, 2019 - ieeexplore.ieee.org
This paper presents a novel risk assessment approach that allows to control the behaviour
of self driving cars. This novel continuous real-time risk assessment considers uncertainties …

Modelling and reasoning techniques for context aware computing in intelligent transportation system

M Swarnamugi, R Chinnaiyan - arxiv preprint arxiv:2107.14374, 2021 - arxiv.org
The emergence of Internet of Things technology and recent advancement in sensor
networks enabled transportation systems to a new dimension called Intelligent …

Real-time crash severity estimation with machine learning and 2d mass-spring-damper model

M Müller, X Long, M Botsch… - 2018 21st …, 2018 - ieeexplore.ieee.org
Making the right decisions milliseconds before an unavoidable car accident is a challenging,
nearly impossible task for a human driver. While it is difficult enough to choose a proper …

Development of a model for the prediction of occupant loads in vehicle crashes: introduction of the Real Occupant Load Criterion for Prediction (ROLC)

M Rabus, MK Belaid, SA Maurer… - Automotive and Engine …, 2022 - Springer
The objective in the development of passive vehicle safety systems is to protect the
occupants in case of an accident. The severity of injuries experienced by the occupants are …

Evasive behavior-based method for threat assessment in different scenarios: A novel framework for intelligent vehicle

H Zhou, Z Zhong - Accident Analysis & Prevention, 2020 - Elsevier
The threat assessment process is a crucial part of intelligent vehicles (IVs) for evaluating the
levels of criticality and taking possible measures to avoid the collision, especially for the …

Optimal design of pre-triggering airbag system for occupant protection performance during frontal crashes

Z **ao, L Wang, F Mo, S Zhao… - Proceedings of the …, 2019 - journals.sagepub.com
With the rapid development of car crash sensing and identification technology, the
application of pre-triggering airbag system is becoming an important option to improve …