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Reference-Guided Classification of ECU/OBD Driving Observations and Compositional Driver-Trip Profiling

https://doi.org/10.2139/ssrn.7412891
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.aap.2017.04.012openalex-snapshot
Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data
inferredcites →https://doi.org/10.1016/j.aap.2021.106349openalex-snapshot
Profiling drivers to assess safe and eco-driving behavior – A systematic review of naturalistic driving studies
inferredcites →https://doi.org/10.1016/j.aap.2023.107022openalex-snapshot
Feature selection for driving style and skill clustering using naturalistic driving data and driving behavior questionnaire
inferredcites →https://doi.org/10.1016/j.aap.2024.107519openalex-snapshot
A systematic review of the use of in-vehicle telematics in monitoring driving behaviours
inferredcites →https://doi.org/10.1016/j.isatra.2025.01.033openalex-snapshot
Driving style classification and recognition methods for connected vehicle control in intelligent transportation systems: A review
inferredcites →https://doi.org/10.1016/j.measurement.2016.07.035openalex-snapshot
Development of an automotive data acquisition platform for analysis of driving behavior
inferredcites →https://doi.org/10.1016/j.trc.2016.11.011openalex-snapshot
Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities
inferredcites →https://doi.org/10.1016/j.trf.2017.11.021openalex-snapshot
A framework for evaluating aggressive driving behaviors based on in-vehicle driving records
inferredcites →https://doi.org/10.1016/j.trf.2018.05.019openalex-snapshot
Using topic modeling to develop multi-level descriptions of naturalistic driving data from drivers with and without sleep apnea
inferredcites →https://doi.org/10.1016/j.trf.2019.05.007openalex-snapshot
Driver profiling – Data-based identification of driver behavior dimensions and affecting driver characteristics for multi-agent traffic simulation
inferredcites →https://doi.org/10.1016/j.trf.2020.01.003openalex-snapshot
Characterisation of motorway driving style using naturalistic driving data
inferredcites →https://doi.org/10.1016/j.trf.2023.09.010openalex-snapshot
Time-series clustering for pattern recognition of speed and heart rate while driving: A magnifying lens on the seconds around harsh events
inferredcites →https://doi.org/10.1016/j.trip.2023.100900openalex-snapshot
Machine learning approaches exploring the optimal number of driver profiles based on naturalistic driving data
inferredcites →https://doi.org/10.1080/01441640600823940openalex-snapshot
Driving Behaviour: Models and Challenges
inferredcites →https://doi.org/10.1080/15472450.2019.1646132openalex-snapshot
Clustering driver behavior using dynamic time warping and hidden Markov model
inferredcites →https://doi.org/10.1109/thms.2017.2736948openalex-snapshot
Driving Style Classification Using a Semisupervised Support Vector Machine
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