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 …

Survey of smartphone‐based sensing in vehicles for intelligent transportation system applications

J Engelbrecht, MJ Booysen… - IET Intelligent …, 2015 - Wiley Online Library
Road crashes are a growing concern of governments and are rising to become one of the
leading preventable causes of death, especially in developing countries. The ubiquitous …

Driver behavior profiling using smartphones: A low-cost platform for driver monitoring

G Castignani, T Derrmann, R Frank… - IEEE Intelligent …, 2015 - ieeexplore.ieee.org
Today's smartphones and mobile devices typically embed advanced motion sensors. Due to
their increasing market penetration, there is a potential for the development of distributed …

Driver behavior profiling: An investigation with different smartphone sensors and machine learning

J Ferreira, E Carvalho, BV Ferreira, C de Souza… - PLoS one, 2017 - journals.plos.org
Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver
behavior profiling tries to understand and positively impact driver behavior. Usually driver …

Energy efficient speed planning of electric vehicles for car-following scenario using model-based reinforcement learning

H Lee, K Kim, N Kim, SW Cha - Applied Energy, 2022 - Elsevier
Eco-driving is a term used to refer to a strategy for operating vehicles so as to minimize
energy consumption. Without any hardware changes, eco-driving is an effective approach to …

Looking at humans in the age of self-driving and highly automated vehicles

E Ohn-Bar, MM Trivedi - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
This paper highlights the role of humans in the next generation of driver assistance and
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …

Drivesafe: An app for alerting inattentive drivers and scoring driving behaviors

LM Bergasa, D Almería, J Almazán… - 2014 IEEE Intelligent …, 2014 - ieeexplore.ieee.org
This paper presents DriveSafe, a new driver safety app for iPhones that detects inattentive
driving behaviors and gives corresponding feedback to drivers, scoring their driving and …

Sensitivity analysis for energy demand estimation of electric vehicles

J Asamer, A Graser, B Heilmann, M Ruthmair - … Research Part D: Transport …, 2016 - Elsevier
We present a sensitivity analysis for a mechanical model, which is used to estimate the
energy demand of battery electric vehicles. This model is frequently used in literature, but its …

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 …

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 …