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Social Media Data for better routing of open-source navigational services

Geoinformatics researchers from Heidelberg are helping to improved the usability of geocoded information through the project “SocialMedia2Traffic”. Heidelberg 23rd of May, 2022. Navigation services require up-to-date traffic information in order to determine optimal routes and calculate the travel time. Open-source … Read More

Join our final “SocialMedia2Traffic” project presentation on March 22

Navigation services need time dependent information on traffic speed to generate suitable routes and yield accurate travel time estimations. However, this information is not available free of cost globally. Within the recently completed project SocialMedia2Traffic, we have developed a system … Read More

SocialMedia2Traffic bei Fachaustausch Geoinformation “Smarte Region Rhein-Neckar”

Diesen Donnerstag, 25.11.2021, werden wir unser Kooperationsprojekt SocialMedia2Traffic beim Fachaustausch Geoinformation zum Thema “Smarte Region Rhein-Neckar” vorstellen. Aktuelle Verkehrsinformationen sind eine Voraussetzung für Navigationslösungen, um die beste Route und genaue Reisezeiten zu ermitteln. Diese sind momentan jedoch nicht offen verfügbar. … Read More

geoEpi – new DFG research project on spatio-temporal epidemiology of emerging viruses

A couple of viruses are of global interest with respect to human health and well-being. These pathogens include the novel coronavirus SARS-CoV-2, Dengue, Chikungunya, Yellow fever, Zika and Ebola. These viruses show interesting spatio-temporal dynamics. Improved understanding of the driving … Read More

New mFund project: start of SocialMedia2Traffic – derivation of traffic information from social media data

Up-to-date traffic information is a prerequisite for navigation solutions to determine the best route and travel time. However, there is no freely available traffic information on a global and federal level. “SocialMedia2Traffic uses freely available data from social media such … Read More

Exploration of OpenStreetMap Missing Built-up Areas using Twitter Hierarchical Clustering and Deep Learning in Mozambique

Accurate and detailed geographical information digitizing human activity patterns plays an essential role in response to natural disasters. Volunteered geographical information, in particular OpenStreetMap (OSM), shows great potential in providing the knowledge of human settlements to support humanitarian aid, while … Read More