Trip characteristics impact on the frequency of harsh events recorded via smartphone sensors

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Driving safety efficiency benchmarking using smartphone data

(2019) Dimitrios I. Tselentis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

The impact of numerical vs. symbolic eco-driving feedback on fuel consumption – A randomized control field trial

(2018) Andre Dahlinger et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

Driving analytics using smartphones: Algorithms, comparisons and challenges

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

Driver crash risk factors and prevalence evaluation using naturalistic driving data

(2016) Thomas A. Dingus et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Can feedback from in-vehicle data recorders improve driver behavior and reduce fuel consumption?

(2016) Galit Toledo et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

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

(2013) Johannes Paefgen et al.   DECISION SUPPORT SYSTEMS

Safe driving in a green world: A review of driver performance benchmarks and technologies to support ‘smart’ driving

(2010) Mark S. Young et al.   APPLIED ERGONOMICS

Data Acquisition, Analysis and Transmission Platform for a Pay-As-You-Drive System

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

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