osm2gmns 0.6.6

convert map data from OpenStreetMap to network files in GMNS format

osm2gmns

Authors: Jiawei Lu, Xuesong (Simon) Zhou

Email: [e-mail], [e-mail]

osm2gmns is an open-source Python package that enables users to conveniently obtain and manipulate any networks from OpenStreetMap (OSM). With a single line of Python code, users can obtian and model drivable, bikeable, walkable, railway, and aeroway networks for any regions in the world, and output networks to csv files in GMNS format for seamless data sharing and research collaboration. osm2gmns mainly focus on providing researchers and practitioners with flexible, standard and ready-to-use multi-module transportation networks, as well as a bunch of customized and practical functions to facilitate various reseaches and applications on traffic modeling.

Main Features

• Obtain any networks from OSM. osm2gmns parses map data from OSM and output networks to csv files in GMNS format.

• Standard network format. osm2gmns adopts GMNS as the network format for seamless data sharing and research collaboration.

• Ready-to-use network. osm2gmns cleans erroneous information from osm map data and is able to fill up critical missing values, i.e., lanes, speed and capacity, to quickly provide ready-to-use networks.

• Directed network. two directed road links are generated for each bi-directional osm ways identified by osm2gmns

• Multi-module support. five different network types are supported, including auto, bike, walk, railway, and aeroway

• Customized and practical functions to facilitate traffic modeling. functions include complex intersection consolidation, moevement generation, traffic zone creation, short link combination, network visualization.

• Multi-Resolution modeling. osm2gmns automatically construct the corresponding mesoscopic and microscopic networks for any macroscopic network in GMNS format.

Materials

user’s guide: detailed package introductions, solutions for potential installation issues. Github homepage: example networks, reporting bugs.