Long-term effect of eco-driving education on fuel consumption using an on-board logging device
DOI: 10.2495/ut080391
archive: archived pipeline: cataloged verified
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Summary
This paper investigates the long-term impact of eco-driving education on fuel consumption and driving behavior, addressing a gap in existing literature where short-term studies often report significant savings (up to 10%) while few long-term studies show minimal effects (around 2%). The research is part of a broader Flemish program aimed at modeling travel behavior and improving emission estimation methods. The study aims to determine if fuel-efficient driving habits persist over time and to quantify the resulting changes in fuel economy. The methodology involved monitoring 28 respondents over several months using an on-board vehicle device equipped with a GPS system, a GPRS modem, a WiFi connection, and a Controller Area Network (CAN) interface. This setup allowed for the continuous logging of vehicle position, speed, and specific engine parameters such as revolutions per minute (RPM), gear selection, accelerator position, and instantaneous fuel consumption. Data was transmitted daily to a central server. Halfway through the monitoring period, participants received a four-hour eco-driving course consisting of theoretical instruction and practical test drives with instructor feedback. The study specifically analyzed eight participants whose vehicles allowed for precise fuel monitoring and who were the sole drivers. The analysis compared weekly averages of fuel consumption and driving style metrics—such as gear-shifting RPM, acceleration profiles, and time spent rolling in gear—before and after the training. The results indicated that for seven of the eight drivers, fuel consumption decreased by between 1.7% and 7.3% following the course. One driver experienced a slight increase in fuel consumption (1.71%) over an eight-week post-training period, despite showing a 5% improvement in the first three weeks, suggesting a reversion to previous habits. The data also tracked changes in driving style, noting shifts in gear-changing behavior and acceleration patterns. The study highlights that without continuous feedback, maintaining new driving habits can be challenging for some individuals. The significance of this work lies in its use of detailed, second-by-second CAN and GPS data to link specific driving behaviors to fuel consumption over a long-term horizon. The findings suggest that while eco-driving training can yield measurable fuel savings, the persistence of these benefits varies among drivers. The data collected contributes to better methods for emission estimation and provides insights into the behavioral changes necessary for sustained fuel efficiency. The study underscores the potential of in-vehicle data recorders for monitoring driving styles and offers a basis for developing feedback mechanisms to help drivers maintain eco-friendly habits.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-17 |
| archive | success | canonical_url | — | — | 1 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-25 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| enrich | success | openalex | — | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-17 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-25 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified.
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