The Future of Parking: Safety Benefits and Challenges
archive: archived pipeline: cataloged verified
Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)
Summary
This research addresses the safety implications of autonomous vehicle (AV) integration into parking facilities, a critical yet understudied component of transportation infrastructure. While parking lots account for a significant portion of non-traffic motor crashes, including fatalities and injuries, current safety data is limited. The study is motivated by the anticipated shift toward self-parking technologies, which promise to alter parking behaviors and facility designs. The primary objective is to evaluate how AV penetration and associated design changes impact safety metrics, specifically vehicle-pedestrian conflicts and pedestrian exposure, across different parking types. The researchers employed microsimulation techniques using the VISSIM software platform to model traffic and parking dynamics. The University of Texas at El Paso (UTEP) campus served as the case study due its diverse parking infrastructure, including on-street, off-street, and garage facilities. The team developed 15 simulation scenarios, comprising base cases (0% AV penetration) and various AV penetration levels (25% and 75%) combined with specific layout improvements. These scenarios allowed for the assessment of safety performance under mixed traffic conditions and optimized AV-specific designs. The analysis focused on quantifying the reduction in conflict points between vehicles and pedestrians, as well as measuring changes in pedestrian-vehicle exposure times. The results indicate that AVs significantly enhance both parking capacity and safety. Capacity increases were calculated to be between 9% and 20% for off-street parking and parking garages. In terms of safety, AV integration reduced the number of conflict points by 7% at 25% penetration and by 45% at 75% penetration compared to base scenarios. These reductions were consistent across all parking types. Furthermore, when recommended layout improvements were applied, pedestrian-vehicle exposure decreased by 14% to 72%, depending on the AV penetration rate. The study confirms that higher AV penetration correlates with substantial safety benefits, primarily due to reduced human error and optimized spatial efficiency. The findings suggest that the transition to self-parking vehicles offers dual benefits: increased infrastructure efficiency and improved safety outcomes. The research highlights that while AVs can operate within existing layouts, dedicated design changes maximize these benefits. The significant reduction in conflicts and exposure underscores the potential for AVs to mitigate the high incidence of parking-related crashes. These results provide evidence-based recommendations for future parking facility design and operational policies, supporting the development of infrastructure that accommodates the gradual integration of autonomous technologies.
Key finding
Autonomous vehicles with self-parking capabilities, when combined with recommended layout improvements, reduce conflict points by 7% to 45% and pedestrian-vehicle exposure by 14% to 72% depending on penetration rates and parking type.
Methodology
modeling
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 24 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: crash risk outcomes