MUSE: Multimodal Separators for Efficient Route Planning in Transportation Networks
收藏NIAID Data Ecosystem2026-03-12 收录
下载链接：
https://zenodo.org/record/5276748
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资源简介：
This dataset was used in the experimental evaluation of the MUSE route planning algorithm. It encompasses the Ile-de-France multimodal network. The dataset contains:
1. The raw osm file of the Ile-de-France region from OpenStreetMap.
2. The raw GTFS data for the public transit network.
3. The multimodal graph based on 5 partitions: 100, 200, 300, 400, and 500 cells.
4. The Nondeterministic Finite Automata (NFA) used during the preprocessing and query stages of MUSE.
5. The graph overlay evaluated during the preprocessing stage of MUSE.
To test MUSE and review the details of this dataset, please visit https://github.com/aminefalek/muse
创建时间：
2021-08-27
