Bioinspired computational intelligence and transportation systems: a long road ahead

J Del Ser, E Osaba… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …

A systematic review on sensor-based driver behaviour studies: Coherent taxonomy, motivations, challenges, recommendations, substantial analysis and future …

WA Al-Hussein, MLM Kiah, L Yee, BB Zaidan - PeerJ Computer Science, 2021 - peerj.com
In the plan and development of Intelligent Transportation Systems (ITS), understanding
drivers behaviour is considered highly valuable. Reckless driving, incompetent preventive …

An efficient driver behavioral pattern analysis based on fuzzy logical feature selection and classification in big data analysis

M Malik, R Nandal, S Dalal, U Maan… - Journal of Intelligent & …, 2022 - content.iospress.com
In recent years, driver behavior analysis plays a vital role to enhance passenger coverage
and management resources in the smart transportation system. The real-world environment …

A mobile telematics pattern recognition framework for driving behavior extraction

M Siami, M Naderpour, J Lu - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Mobile telematics is a relatively new innovation that involves collecting data on driving
behavior using the internal sensors in a smartphone rather than from an in-vehicle data …

[HTML][HTML] Benchmarking the driver acceleration impact on vehicle energy consumption and CO2 emissions

J Suarez, M Makridis, A Anesiadou, D Komnos… - … Research Part D …, 2022 - Elsevier
The study proposes a methodology for quantifying the impact of real-world heterogeneous
driving behavior on vehicle energy consumption, linking instantaneous acceleration …

Driver behavior profiling and recognition using deep-learning methods: In accordance with traffic regulations and experts guidelines

WA Al-Hussein, LY Por, MLM Kiah… - International journal of …, 2022 - mdpi.com
The process of collecting driving data and using a computational model to generate a safety
score for the driver is known as driver behavior profiling. Existing driver profiles attempt to …

The safety performance of connected vehicles on slippery horizontal curves through enhancing truck drivers' situational awareness: A driving simulator experiment

AK Bakhshi, SM Gaweesh, MM Ahmed - Transportation research part F …, 2021 - Elsevier
Although drivers can adequately adjust their operating speed according to the road
curvature, they show a lack of recognition regarding the pavement friction conditions. In this …

A comparative study of aggressive driving behavior recognition algorithms based on vehicle motion data

Y Ma, Z Zhang, S Chen, Y Yu, K Tang - IEEE Access, 2018 - ieeexplore.ieee.org
Aggressive driving, amongst inappropriate driving behaviors, is largely responsible for
leading to traffic accidents, which threatens both the safety and property of human beings …

Analysis of speed reductions and crash risk of aggressive drivers during emergent pre-crash scenarios at unsignalized intersections

A Adavikottu, NR Velaga - Accident Analysis & Prevention, 2023 - Elsevier
Aggressive driver behavior (ADB) is often linked with road crashes, especially during crash
imminent situations. Previous studies demonstrated that ADB was positively correlated with …

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 …