Driving Style Recognition Considering Different Driving Scenes

Zhang, Lubing; Song, Yedong; Wang, Jialin; Chu, Hongqing; Chen, Hong

doi:10.1109/cvci56766.2022.9964683

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2024

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“…A conference held in October 2022 [11], showed how the combination of SOM, K-Means, and GMM models can classify driving styles across different driving scenes. The experimental results indicated that, among the collected data, conservative drivers are the least common, while aggressive drivers are the most prevalent.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparison of EV Consumption Based on Simulation of Real Driving Condition

Peron,

Ghezzi,

Valbuzzi

et al. 2024

Advances in Transdisciplinary Engineering

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This work examines the impact of driving styles on the energy consumption of Electric Vehicles (EVs) against the backdrop of climate change and greenhouse gas emissions from the transportation sector. It presents a model estimating EV energy consumption, incorporating factors like traffic, weather, and driving behavior. A case study using a BMW i3 explores the energy consumption differences between aggressive and cautious driving styles in various urban, suburban, and highway scenarios. Results indicate that driving style significantly affects EV energy consumption, underscoring the importance of efficient driving practices in reducing emissions and enhancing the environmental benefits of vehicle electrification.

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Section: Literature Reviewmentioning

confidence: 99%