[HTML][HTML] Assessment of the level of road crash severity: comparison of intelligence studies
In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …
models inform researchers about the severity of a crash based on a variety of criteria. To …
Performance evaluation of driving behavior identification models through can-bus data
MN Azadani, A Boukerche - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Modern cars can collect several hundreds of sensor data through the controller area network
(CAN) bus technology that provides almost real-time information about the car, the …
(CAN) bus technology that provides almost real-time information about the car, the …
Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis
F Talebloo, EA Mohammed, BH Far - arXiv preprint arXiv:2109.08996, 2021 - arxiv.org
Improper driving results in fatalities, damages, increased energy consumptions, and
depreciation of the vehicles. Analyzing driving behaviour could lead to optimize and avoid …
depreciation of the vehicles. Analyzing driving behaviour could lead to optimize and avoid …
[PDF][PDF] A Practical Deep Learning Approach to Detect Aggressive Driving Behaviour
F Talebloo - Calgary, Canada: Schulich School of Engineering, 2022 - core.ac.uk
Accidents while driving might result in minor injuries. Alternatively, it might result in a loss of
life, which is highly detrimental to society. The loss of an expert due to fatalities can have a …
life, which is highly detrimental to society. The loss of an expert due to fatalities can have a …
ATVSA: Vehicle driver profiling for situational awareness
Increasing connectivity and automation in vehicles leads to a greater potential attack
surface. Such vulnerabilities within vehicles can also be used for auto-theft, increasing the …
surface. Such vulnerabilities within vehicles can also be used for auto-theft, increasing the …
A Survey of Recent Advances in Driving Behavior Analysis
Understanding driving behavior has never been more important to intelligent transportation.
It has a significant impact on the advancement of safe and sociable autonomous vehicles …
It has a significant impact on the advancement of safe and sociable autonomous vehicles …
A Metaheuristic Approach to Map Driving Pattern for Analyzing Driver Behavior Using Big Data Analysis
The modern‐day influx of vehicular traffic along with rapid expansion of roadways has made
the selection of the best driver based on driving best practices an imperative, thus optimizing …
the selection of the best driver based on driving best practices an imperative, thus optimizing …
Driver Identification Based on Gear Shift Events and Attention-Based Bidirectional Long Short-Term Memory for Manual Transmission System
T Deng, X He, L Xu - 2022 34th Chinese Control and Decision …, 2022 - ieeexplore.ieee.org
The rapid development of Internet of Vehicles (IoV) and in-vehicle interconnection systems
makes it possible to obtain massive, real-time, and multi-dimensional driving behavior data …
makes it possible to obtain massive, real-time, and multi-dimensional driving behavior data …