barefoot | Java map matching library for integrating the map | Map library

barefoot is a Java library typically used in Geo, Map applications. barefoot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

An open source Java library for online and offline map matching with OpenStreetMap. Together with its extensive set of geometric and spatial functions, an in-memory map data structure and basic machine learning functions, it is a versatile basis for scalable location-based services and spatio-temporal data analysis on the map. It is designed for use in parallel and distributed systems and, hence, includes a stand-alone map matching server and can be used in distributed systems for map matching services in the cloud. Barefoot consists of a software library and a (Docker-based) map server that provides access to street map data from OpenStreetMap and is flexible to be used in distributed cloud infrastructures as map data server or side-by-side with Barefoot's stand-alone servers for offline (matcher server) and online map matching (tracker server), or other applications built with Barefoot library. Access to map data is provided with a fast and flexible in-memory map data structure. Together with GeographicLib [1] and ESRI's geometry API [2], it provides an extensive set of geographic and geometric operations for spatial data analysis on the map. Barefoot includes a Hidden Markov Model map matching implementation for both, offline map matching as proposed by Newson and Krumm in [3] and online map matching as proposed by Goh et al. in [4]. Offline map matching is the path reconstruction of a moving object from a recorded GPS trace. In contrast, online map matching determines an object's position and movement on the map iteratively from live GPS position updates in real-time. Barefoot is designed for use in parallel and distributed high-throughput systems [5]. For map matching large batches of GPS traces (offline map matching), it can be easily integrated in Apache Hadoop or Apache Spark (see example below), whereas Apache Storm and Apache Spark Streaming provide a runtime environment for processing massive data streams (online map matching). To support other data analysis functions, Barefoot comes with basic machine learning support, e.g., DBSCAN for spatial cluster analysis [6]. Barefoot is licensed under the business-friendly Apache License 2.0 and uses only business-friendly open source software with open map data from OpenStreetMap.