Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic

A Systematic Methodology to Evaluate Prediction Models for Driving Style Classification

(2020) Iván Silva et al.   SENSORS

Driver behavior detection and classification using deep convolutional neural networks

(2020) Mohammad Shahverdy et al.   EXPERT SYSTEMS WITH APPLICATIONS

A similarity-based neuro-fuzzy modeling for driving behavior recognition applying fusion of smartphone sensors

(2019) Hamid Reza Eftekhari et al.   Journal of Intelligent Transportation Systems

A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data

(2019) Jun Zhang et al.   SENSORS

Identification of driving safety profiles from smartphone data using machine learning techniques

(2019) Eleni G. Mantouka et al.   SAFETY SCIENCE

Vehicle Driving Behavior Recognition Based on Multi-View Convolutional Neural Network With Joint Data Augmentation

(2019) Yong Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A Machine-Learning Approach to Distinguish Passengers and Drivers Reading While Driving

(2019) Renato Torres et al.   SENSORS

Classification of Fatigued and Drunk Driving Based on Decision Tree Methods: A Simulator Study

(2019) Ying Yao et al.   International Journal of Environmental Research and Public Health

A machine learning based personalized system for driving state recognition

(2019) Dewei Yi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Convolutional Neural Network With Adaptive Regularization to Classify Driving Styles on Smartphones

(2019) Mohammad Mahdi Bejani et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Supporting risk management decision making by converting linguistic graded qualitative risk matrices through interval type-2 fuzzy sets

(2019) Yizhi Hong et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

How Smartphone Accelerometers Reveal Aggressive Driving Behavior?—The Key is the Representation

(2019) Manuel Ricardo Carlos et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Driving Maneuver Classification: A Comparison of Feature Extraction Methods

(2018) Jie Xie et al.   IEEE SENSORS JOURNAL

Learning Driver Braking Behavior Using Smartphones, Neural Networks and the Sliding Correlation Coefficient: Road Anomaly Case Study

(2018) Stavros-Richard G. Christopoulos et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings--Addressing Who's Who

(2018) Manuel Ricardo Carlos et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A fuzzy logic based transport mode detection framework in urban environment

(2018) Rahul Deb Das et al.   Journal of Intelligent Transportation Systems

A context aware system for driving style evaluation by an ensemble learning on smartphone sensors data

(2018) Mohammad Mahdi Bejani et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity

(2018) Stratis Kanarachos et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic

(2018)   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

RoadSense: Smartphone Application to Estimate Road Conditions Using Accelerometer and Gyroscope

(2017) Azza Allouch et al.   IEEE SENSORS JOURNAL

Smartphone-Based Vehicle Telematics: A Ten-Year Anniversary

(2017) Johan Wahlstrom et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery

(2017) Phan Thanh Noi et al.   SENSORS

Driving analytics using smartphones: Algorithms, comparisons and challenges

(2017) Eleni I. Vlahogianni et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Comparing decision tree algorithms to estimate intercity trip distribution

(2017) Cira Souza Pitombo et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A smartphone based technique to monitor driving behavior using DTW and crowdsensing

(2017) Gurdit Singh et al.   Pervasive and Mobile Computing

Investigation of Route-Independent Aggressive and Safe Driving Features Obtained from Accelerometer Signals

(2017) Gediminas Zylius   IEEE Intelligent Transportation Systems Magazine

Human activity data discovery from triaxial accelerometer sensor: Non-supervised learning sensitivity to feature extraction parametrization

(2015) Inês P. Machado et al.   INFORMATION PROCESSING & MANAGEMENT

A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms

(2015) Gys Meiring et al.   SENSORS

Transportation mode-based segmentation and classification of movement trajectories

(2012) Filip Biljecki et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A review of feature selection methods on synthetic data

(2012) Verónica Bolón-Canedo et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Fuzzy approach to dependability performance evaluation

(2008) Dejan Ivezić et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL