A human-in-the-loop ensemble fusion framework for road crash prediction: coping with imbalanced heterogeneous data from the driver-vehicle-environment system
Sign Up to like & getrecommendations! Published in 2024 at "Transportation Letters"
DOI: 10.1080/19427867.2024.2392063
Abstract: ABSTRACT Road accidents are an inevitable aspect of daily life, and predicting crashes is crucial for minimizing disruptions and advancing intelligent transportation technologies. This study aims to design an ensemble fusion decision system using various… read more here.
Keywords: ensemble fusion; system; driver vehicle; driver ... See more keywords
Energy Consumption Evaluation Based on a Personalized Driver–Vehicle Model
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DOI: 10.1109/tits.2016.2608381
Abstract: A new approach to evaluate personalized energy consumption is presented in this paper. The method consists of identifying driver–vehicle dynamics using the probability weighted autoregressive model, which is one of the multi-mode ARX models, and… read more here.
Keywords: driver vehicle; energy consumption; energy;
Understanding Drivers’ Stress and Interactions With Vehicle Systems Through Naturalistic Data Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3130438
Abstract: Today, and probably for a long time to come, humans will remain an integral part of vehicles for driving tasks. Therefore, it is essential to understand how vehicles and drivers interact with each other and… read more here.
Keywords: driving conditions; naturalistic data; driver vehicle; vehicle ... See more keywords