Summary of A Scoping Review Of Energy-efficient Driving Behaviors and Applied State-of-the-art Ai Methods, by Zhipeng Ma et al.
A Scoping Review of Energy-Efficient Driving Behaviors and Applied State-of-the-Art AI Methods
by Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Ma
First submitted to arxiv on: 4 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper bridges a significant knowledge gap by conducting a comprehensive review of ecological driving behaviors and strategies. It examines the factors influencing energy consumption, analyzing data from both simulated and real-world experiments. The authors identify eleven key features that impact driving behaviors, including speed, acceleration, and pedal usage. They also explore state-of-the-art methodologies, such as supervised/unsupervised learning algorithms and reinforcement learning frameworks, which have been used to model vehicle energy consumption using multi-dimensional data. By analyzing the literature on eco-friendly driving styles, the authors recommend nine energy-efficient driving styles for different scenarios and driver types. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how people drive their cars and how that affects the environment. Right now, there’s no single place where all this information is gathered together. The researchers in this paper read through lots of other studies to understand what makes some drivers more eco-friendly than others. They found that things like how fast you’re going, how hard you press on the gas pedal, and how many times you brake can make a big difference. They also looked at different ways computers learn from all this data, like using special programs or training machines to behave in certain ways. The authors even provide some tips for drivers on how to be more eco-friendly, such as adjusting their car settings or driving differently depending on the situation. |
Keywords
» Artificial intelligence » Reinforcement learning » Supervised » Unsupervised
