Comprehensive assessment of artificial intelligence tools for driver monitoring and analyzing safety critical events in vehicles

G Yang, C Ridgeway, A Miller, A Sarkar - Sensors, 2024 - mdpi.com
Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing
a range of sensors and techniques, offer an effective method to monitor and alert drivers to …

Driver identification methods in electric vehicles, a review

D Zhao, J Hou, Y Zhong, W He, Z Fu… - World Electric Vehicle …, 2022 - mdpi.com
Driver identification is very important to realizing customized service for drivers and road
traffic safety for electric vehicles and has become a research hotspot in the field of modern …

GPS Data for Behaviour Style Prediction in Driving Using Optimized AI Model

BD Parameshachari, C Srinivas, LS HM… - … Conference on Data …, 2023 - ieeexplore.ieee.org
When a driver's actions while behind the wheel are observed and analysed in real time, the
process is called driver profiling. Better transport safety and the advancement of Intelligent …

Spatial Deep Learning Approach to Older Driver Classification

C Boateng, SGA Ghoreishi, K Yang, MT Jan… - IEEE …, 2024 - ieeexplore.ieee.org
Given telemetry datasets (eg, GPS location, speed, direction, distance.), the Older Driver
Classification (ODC) problem identifies two groups of drivers: normal and abnormal. The …

Public Transit Driver Behaviour Analysis Under Heterogeneous Road Traffic Conditions

R Athapaththu, G Ranasinghe… - 2024 Moratuwa …, 2024 - ieeexplore.ieee.org
In regions with diverse traffic conditions, such as Sri Lanka, understanding and improving
driver behaviour is essential for enhancing road safety and traffic management. This …

Driver Behavior Detection in Time Series Decade review

RG Saber, S Ghoniemy, MM Al-Qutt - International Journal of …, 2023 - journals.ekb.eg
Driver's behavior is expressed by the intentional and unintentional actions the driver
performs while driving a motor vehicle. This behavior could be influenced by several factors …

Driver Behavior Analysis Based on Real On-Road Driving Data in the Design of Advanced Driving Assistance Systems

N Khairdoost - 2022 - search.proquest.com
The number of vehicles on the roads increases every day. According to the National
Highway Traffic Safety Administration (NHTSA), the overwhelming majority of serious …

Emergent self-awareness in multi-sensor physical agents

G Slavic - 2024 - tesidottorato.depositolegale.it
The cognitive approach to the development of autonomous vehicles takes inspiration from
human reasoning, and, conversely to the computationalist approach, rejects formulating …

No Camera Needed: Accelerometer and Gps are Enough for Driver Behavior Identification with Deep Learning

T Ouni, N Ben Amor - papers.ssrn.com
Driver behavior identification is one of the most important tools to achieve driver safety,
avoid road hazards and improve the overall driving experience. However, the …

Driving Behaviors Recognition Using Deep Neural Networks

K Darwish, M Ali - Embedded Selforganising Systems, 2023 - bibliothek.tu-chemnitz.de
Road accidents are skyrocketing, and traffic safety is a severe problem around the world.
Many road traffic deaths are related to drivers' unsafe behaviors. In this paper, we propose …