Eco-Driving Performance Assessment With in-Car Visual and Haptic Feedback Assistance
DOI: 10.1115/1.3622753
archive: archived pipeline: cataloged verified
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Summary
This study investigates the effectiveness of in-car visual and haptic feedback systems for improving eco-driving performance, specifically regarding the reduction of polluting emissions. Motivated by increasing environmental regulations and the need for sustainable vehicle usage, the research aims to quantify the contribution of basic verbal eco-driving instructions and assess the additional benefits provided by visual, haptic, or combined visual-haptic assistance devices. The study also evaluates driver acceptance and adaptation to haptic feedback, which involves a force-feedback gas pedal that applies counter-torque to the driver’s foot when acceleration exceeds optimal levels. The experiment was conducted using a highly immersive driving simulator at Renault’s Technical Centre for Simulation, featuring a 150-degree field of view and a fully instrumented cockpit. Twenty-eight licensed drivers participated, divided into four groups: a reference group with no assistance, a visual assistance group, a haptic assistance group, and a combined visual-haptic group. Participants completed four trials on a predefined urban route without traffic: a baseline trial, a trial with verbal instructions to keep engine speed under 2000 rpm, a trial with the assigned assistance device, and a repetition of the verbal instruction trial. Feedback was generated by comparing real-time vehicle acceleration against an optimal acceleration model derived from a proprietary Renault diesel engine consumption model. Data recorded included total polluting emissions, standard deviation of gas pedal position, and mean over-acceleration. Results indicated that basic verbal instructions to limit engine speed significantly reduced polluting emissions by approximately 5% compared to uninstructed driving. The addition of visual, haptic, or combined assistance systems yielded further significant reductions in emissions, ranging from 5% to 7%. However, there was no significant difference in emission reduction between the types of assistance, suggesting haptic feedback is as effective as visual feedback. Notably, drivers using haptic or combined assistance showed a significant decrease in the standard deviation of pedal position, indicating improved control stability and rapid adaptation to the haptic system. In contrast, the visual-only group did not show significant improvements in pedal stability. When both modalities were present, drivers relied more heavily on haptic feedback to minimize over-acceleration, likely due to the visual workload imposed by the driving task. The findings confirm that simple eco-driving behaviors, such as shifting gears at low engine speeds, effectively reduce emissions. Furthermore, in-car assistance systems provide additional benefits regardless of the sensory modality used. The study highlights the efficiency of haptic feedback in stabilizing driver control and suggests that haptic systems may be preferable in complex driving environments where visual attention is heavily taxed. These results support the integration of haptic feedback pedals as a viable tool for promoting eco-driving, demonstrating that drivers can quickly adapt to such systems even upon first use.
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-17 |
| archive | success | semantic_scholar | — | — | 6 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-25 |
| clean | success | clean | — | — | 1 | 2026-06-18 |
| chunk | success | chunk | — | — | 1 | 2026-06-18 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-18 |
| promote | success | — | — | — | 1 | 2026-06-17 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-25 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-18 |
| verify | partial | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified_with_issues.
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