2015 Stuttgart light rail network maps generated from GTFS data, with optimal line orderings, geographically correct (left), octilinear (middle), and orthoradial (right). Software suite for the automated generation of geographically correct or schematic transit maps.

2017年10月5日 · We present LOOM (Line-Ordering Optimized Maps), a fully automatic generator of geographically accurate transit maps. The input to LOOM is data about the lines of a given transit network, namely for each line, the sequence of stations it serves and the geographical course the vehicles of this line take.

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We present LOOM (Line-Ordering Optimized Maps), an automatic generator of geographically accurate transit maps. The input to LOOM is data about the lines of a transit network: for each line, its station sequence and geographical course.

Software suite for the automated generation of geographically correct or schematic transit maps. - ad-freiburg/loom

We present LOOM (Line-Ordering Optimized Maps), a fully auto-matic generator of geographically accurate transit maps. The input to LOOM is data about the lines of a given transit network, namely for each line, the sequence of stations it serves and the geograph-ical course the vehicles of this line take. We parse this data from

The Makefile provided here, together with the queries in folder queries, generates global transit map vector tiles from OpenStreetMap (OSM) data. It requires an installation of LOOM. The tiles can be inspected using the web application in web. An example installation is available at https://loom.cs.uni-freiburg.de/global.

SPARQL Query; Query time: 00:00:00.8: Transfer time: 00:00:06.9: OSM Input; Num stations: 91490: Num nodes: 259742: Num edges: 84126: Network extraction; Iterations: 3357

Toggle navigation LOOM - Line Ordering Optimized Maps. Show stations Show node connections Show edges Show labels Optimization method: Simplification Method: Penalize line separations University of Freiburg - ...

2025年3月18日 · At Maploom we create innovative digital mapping tools to help organisations make smarter, data-driven decisions. Our solutions provide powerful geospatial analysis, enabling users to collect, visualise and analyse data.