Analyzing driver behavior under naturalistic driving conditions: A review

H Singh, A Kathuria - Accident Analysis & Prevention, 2021 - Elsevier
For a decade, researchers working in the area of road safety have started exploring the use
of driving behavior data for a better understanding of the causes related to road accidents. A …

Eco-driving and its impacts on fuel efficiency: An overview of technologies and data-driven methods

P Fafoutellis, EG Mantouka, EI Vlahogianni - Sustainability, 2020 - mdpi.com
Eco-driving is a multidimensional concept that includes driving behavior, route selection and
all other choices or behaviors related to the vehicles' fuel consumption (eg, the use of quality …

Big data for internet of things: a survey

M Ge, H Bangui, B Buhnova - Future generation computer systems, 2018 - Elsevier
With the rapid development of the Internet of Things (IoT), Big Data technologies have
emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to …

Driving analytics using smartphones: Algorithms, comparisons and challenges

EI Vlahogianni, EN Barmpounakis - Transportation Research Part C …, 2017 - Elsevier
The present work investigates the use of smartphones as an alternative to gather data for
driving behavior analysis. The proposed approach incorporates i. a device reorientation …

Profiling drivers to assess safe and eco-driving behavior–A systematic review of naturalistic driving studies

H Singh, A Kathuria - Accident Analysis & Prevention, 2021 - Elsevier
Road accidents and vehicular emissions are two significant issues related to road
transportation, affecting both human life and the environment. Prior research suggests that …

Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data

M Ayuso, M Guillen, JP Nielsen - Transportation, 2019 - Springer
We show how data collected from a GPS device can be incorporated in motor insurance
ratemaking. The calculation of premium rates based upon driver behaviour represents an …

[HTML][HTML] The usefulness of artificial intelligence for safety assessment of different transport modes

DI Tselentis, E Papadimitriou, P van Gelder - Accident Analysis & …, 2023 - Elsevier
Recent research in transport safety focuses on the processing of large amounts of available
data by means of intelligent systems, in order to decrease the number of accidents for …

Personalization as a promise: Can Big Data change the practice of insurance?

L Barry, A Charpentier - Big Data & Society, 2020 - journals.sagepub.com
The aim of this article is to assess the impact of Big Data technologies for insurance
ratemaking, with a special focus on motor products. The first part shows how statistics and …

Good drivers pay less: A study of usage-based vehicle insurance models

Y Bian, C Yang, JL Zhao, L Liang - … research part A: policy and practice, 2018 - Elsevier
Usage-based insurance (UBI) has been attracting more and more attention; however, two
open research questions are how behavioral data of drivers affects driving risk and how …

[HTML][HTML] Smartphone sensing for understanding driving behavior: Current practice and challenges

E Mantouka, E Barmpounakis, E Vlahogianni… - International journal of …, 2021 - Elsevier
Understanding driving behavior–even in the rapid emergence of automation-remains in the
spotlight, for decomposing complex driving dynamics, enabling the development of user …