Study on influence of electrics vehicle charging on navigation system using driving simulator
DOI: 10.1299/jsmetld.2016.25.1308
archive: archived pipeline: cataloged verified
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Summary
This study investigates how navigation system information influences the charging behavior of electric vehicle (EV) drivers, motivated by efforts to support disaster reconstruction in Japan’s Tohoku region through integrated energy management systems (EMS). The research aims to validate the effectiveness of providing charging station location data to drivers, treating EVs as mobile batteries within a resilient energy-mobility framework. The researchers conducted experiments using a high-fidelity driving simulator capable of six degrees of freedom and realistic vehicle dynamics, including EV energy characteristics modeled after the i-MiEV. The experimental scenario simulated a 36 km route between Ishinomaki and Odate cities, scaled down to 1/6 size (approximately 6 km) to reduce trial duration. Ten adult drivers with valid licenses participated. The study compared two navigation conditions: a basic system (Navi A) displaying only self-position and route, and an enhanced system (Navi B) that additionally displayed charging station locations. Drivers started with initial State of Charge (SOC) levels of 100%, 70%, or 40%. They were instructed to reach the destination as quickly as possible, with charging simulated as a 10-second wait per 5% charge increment. Experimental order was randomized using a Latin square design. Post-trial questionnaires assessed safety feelings and perceived helpfulness on a five-point scale. Results indicated that the navigation system providing charging station information (Navi B) received higher ratings for both safety feeling and helpfulness across all SOC conditions compared to the basic system (Navi A). Specifically, drivers reported higher confidence when starting with low (40%) or high (100%) SOC levels using Navi B. Regarding battery depletion, two incidents occurred with Navi A and one with Navi B. All depletion events happened during the first trial on an unfamiliar route, suggesting that lack of prior knowledge increases the risk of running out of power. Two participants experienced simulator sickness, requiring data adjustment, but this did not invalidate the overall trends. The study concludes that providing charging station location information via navigation systems is effective in improving driver confidence and managing EV charging behavior. The findings suggest that such information is particularly valuable when drivers are unfamiliar with the route, as it mitigates the risk of battery depletion. These results support the development of advanced mobility systems that integrate energy management with navigation aids, contributing to sustainable and disaster-resilient transportation infrastructure. Future work is planned to evaluate full-scale navigation systems using the driving simulator.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-07 |
| archive | success | canonical_url | — | — | 1 | 2026-06-09 |
| extract | success | pdftotext | — | — | 2 | 2026-06-09 |
| clean | success | clean | — | — | 1 | 2026-06-09 |
| chunk | success | chunk | — | — | 1 | 2026-06-09 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-09 |
| enrich | success | openalex | — | — | 3 | 2026-07-02 |
| promote | success | — | — | — | 1 | 2026-06-07 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-09 |
| tag | success | vector_similarity | — | — | 8 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-09 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-09; verification: verified.
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