Converting OpenStreetMap Data to Road Networks for Downstream Applications

11/22/2022
by   Md Kaisar Ahmed, et al.
0

We study how to convert OpenStreetMap data to road networks for downstream applications. OpenStreetMap data has different formats. Extensible Markup Language (XML) is one of them. OSM data consist of nodes, ways, and relations. We process OSM XML data to extract the information of nodes and ways to obtain the map of streets of the Memphis area. We can use this map for different downstream applications.

READ FULL TEXT
research
05/17/2023

Bike2Vec: Vector Embedding Representations of Road Cycling Riders and Races

Vector embeddings have been successfully applied in several domains to o...
research
09/14/2022

Jointly Contrastive Representation Learning on Road Network and Trajectory

Road network and trajectory representation learning are essential for tr...
research
02/07/2018

Road Network Fusion for Incremental Map Updates

In the recent years a number of novel, automatic map-inference technique...
research
09/10/2019

Investigating the completeness and omission roads of OpenStreetMap data in Hubei, China by comparing with Street Map and Street View

OpenStreetMap (OSM) is a free map of the world which can be edited by gl...
research
12/14/2021

Towards Interactive Language Modeling

Interaction between caregivers and children plays a critical role in hum...
research
04/26/2023

highway2vec – representing OpenStreetMap microregions with respect to their road network characteristics

Recent years brought advancements in using neural networks for represent...
research
01/04/2023

Error Tolerant Multi-Robot System for Roadside Trash Collection

In this paper, we present the first iteration of an error-tolerant, auto...

Please sign up or login with your details

Forgot password? Click here to reset