Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence

What can we learn from telematics car driving data: A survey

(2022) Guangyuan Gao et al.   INSURANCE MATHEMATICS & ECONOMICS

On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development

(2022) Xiao Wen et al.   ACCIDENT ANALYSIS AND PREVENTION

Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review

(2022) Mohamed M. Ahmed et al.   ACCIDENT ANALYSIS AND PREVENTION

Predicting effects of built environment on fatal pedestrian accidents at location-specific level: Application of XGBoost and SHAP

(2022) Iljoon Chang et al.   ACCIDENT ANALYSIS AND PREVENTION

Discovering injury severity risk factors in automobile crashes: A hybrid explainable AI framework for decision support

(2022) Mostafa Amini et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Boosting Poisson regression models with telematics car driving data

(2021) Guangyuan Gao et al.   MACHINE LEARNING

Regulatory and Technical Constraints: An Overview of the Technical Possibilities and Regulatory Limitations of Vehicle Telematic Data

(2021) Kevin McDonnell et al.   SENSORS

Driving Risk Assessment Using Near-Miss Events Based on Panel Poisson Regression and Panel Negative Binomial Regression

(2021) Shuai Sun et al.   Entropy

The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis

(2021) Chao Yang et al.   ACCIDENT ANALYSIS AND PREVENTION

Decision-adjusted driver risk predictive models using kinematics information

(2021) Huiying Mao et al.   ACCIDENT ANALYSIS AND PREVENTION

Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

(2021) Xiao Wen et al.   ACCIDENT ANALYSIS AND PREVENTION

Applications of machine learning methods in traffic crash severity modelling: current status and future directions

(2021) Xiao Wen et al.   TRANSPORT REVIEWS

From Traditional to Autonomous Vehicles: A Systematic Review of Data Availability

(2021) Leandro Masello et al.   TRANSPORTATION RESEARCH RECORD

Spatial risk modelling of behavioural hotspots: Risk-aware path planning for autonomous vehicles

(2020) Cian Ryan et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Automobile insurance classification ratemaking based on telematics driving data

(2019) Yifan Huang et al.   DECISION SUPPORT SYSTEMS

Unravelling the predictive power of telematics data in car insurance pricing

(2018) Roel Verbelen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

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

(2018) Mercedes Ayuso et al.   TRANSPORTATION

The use of context-sensitive insurance telematics data in auto insurance rate making

(2018) Yu-Luen Ma et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

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

(2018) Yiyang Bian et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Claims frequency modeling using telematics car driving data

(2018) Guangyuan Gao et al.   Scandinavian Actuarial Journal

Advancing usage-based insurance – a contextual driving risk modelling and analysis approach

(2018) Xianbiao Hu et al.   IET Intelligent Transport Systems

The Use of Telematics Devices to Improve Automobile Insurance Rates

(2018) Montserrat Guillen et al.   RISK ANALYSIS

Semiautonomous Vehicle Risk Analysis: A Telematics-Based Anomaly Detection Approach

(2018) Cian Ryan et al.   RISK ANALYSIS

Explanation in artificial intelligence: Insights from the social sciences

(2018) Tim Miller   ARTIFICIAL INTELLIGENCE

Semi-autonomous vehicle motor insurance: A Bayesian Network risk transfer approach

(2017) Barry Sheehan et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Bayesian Network model for contextual versus non-contextual driving behavior assessment

(2017) Xiaoyu Zhu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

The use of Annual Mileage as a Rating Variable

(2015) Jean Lemaire et al.   Astin Bulletin

Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research

(2015) Stefan Lessmann et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Detection of Dangerous Cornering in GNSS-Data-Driven Insurance Telematics

(2015) Johan Wahlstrom et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A data-driven approach to predict the success of bank telemarketing

(2014) Sérgio Moro et al.   DECISION SUPPORT SYSTEMS

Insurance Telematics: Opportunities and Challenges with the Smartphone Solution

(2014) Peter Handel et al.   IEEE Intelligent Transportation Systems Magazine

Evaluation and aggregation of pay-as-you-drive insurance rate factors: A classification analysis approach

(2013) Johannes Paefgen et al.   DECISION SUPPORT SYSTEMS

Analysis of traffic accident severity using Decision Rules via Decision Trees

(2013) Joaquín Abellán et al.   EXPERT SYSTEMS WITH APPLICATIONS

Safety Benefits of Forward Collision Warning, Brake Assist, and Autonomous Braking Systems in Rear-End Collisions

(2012) Kristofer D. Kusano et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Statistical concepts of a priori and a posteriori risk classification in insurance

(2011) Katrien Antonio et al.   AStA-Advances in Statistical Analysis

The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

(2010) Dominique Lord et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Differences in observed speed patterns between crash-involved and crash-not-involved drivers: Application of in-vehicle monitoring technology

(2010) Jungwook Jun et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Near Crashes as Crash Surrogate for Naturalistic Driving Studies

(2010) Feng Guo et al.   TRANSPORTATION RESEARCH RECORD