{"id":422,"date":"2020-01-28T16:04:54","date_gmt":"2020-01-28T15:04:54","guid":{"rendered":"https:\/\/project.inria.fr\/crowdscience\/?page_id=422"},"modified":"2020-04-30T10:22:35","modified_gmt":"2020-04-30T08:22:35","slug":"umans","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/crowdscience\/project\/ocsr\/umans\/","title":{"rendered":"UMANS"},"content":{"rendered":"<p><strong><a href=\"https:\/\/project.inria.fr\/crowdscience\/files\/2020\/03\/UMANS-Logo-Transparent-Medium.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-535 size-full\" src=\"https:\/\/project.inria.fr\/crowdscience\/files\/2020\/03\/UMANS-Logo-Transparent-Medium.png\" alt=\"\" width=\"500\" height=\"276\" srcset=\"https:\/\/project.inria.fr\/crowdscience\/files\/2020\/03\/UMANS-Logo-Transparent-Medium.png 500w, https:\/\/project.inria.fr\/crowdscience\/files\/2020\/03\/UMANS-Logo-Transparent-Medium-300x166.png 300w, https:\/\/project.inria.fr\/crowdscience\/files\/2020\/03\/UMANS-Logo-Transparent-Medium-150x83.png 150w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/a><\/strong><\/p>\n<h4>Overview<\/h4>\n<p><em>UMANS (Unified Microscopic Agent Navigation Simulator)<\/em> is a <strong>crowd-simulation framework<\/strong> that can reproduce many different algorithms for <strong>local navigation behavior<\/strong> (such as collision avoidance) in crowds. UMANS translates these algorithms to a single principle, while unifying as many simulation settings and details as possible. This makes it a suitable platform for experimentation and for honest comparisons between algorithms.<\/p>\n<p>For more information on the theory behind UMANS, please see our I3D 2020 publication <a href=\"https:\/\/project.inria.fr\/crowdscience\/generalized-microscopic-crowd-simulation-using-costs-in-velocity-space-i3d-2020\/\">&#8220;Generalized Microscopic Crowd Simulation using Costs in Velocity Space&#8221;<\/a>.<\/p>\n<h4>Download<\/h4>\n<p>The <a href=\"https:\/\/gitlab.inria.fr\/OCSR\/UMANS\">Git repository<\/a> of UMANS is public, so everyone can download the latest version of the source code.<\/p>\n<p>We have also published pre-compiled binaries. The latest stable release can be downloaded via our <a href=\"https:\/\/project.inria.fr\/crowdscience\/download\/\">download page<\/a>.<\/p>\n<p><a href=\"https:\/\/project.inria.fr\/crowdscience\/files\/2020\/04\/UMANS-GUI.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-682\" src=\"https:\/\/project.inria.fr\/crowdscience\/files\/2020\/04\/UMANS-GUI-1024x837.png\" alt=\"\" width=\"600\" height=\"490\" srcset=\"https:\/\/project.inria.fr\/crowdscience\/files\/2020\/04\/UMANS-GUI-1024x837.png 1024w, https:\/\/project.inria.fr\/crowdscience\/files\/2020\/04\/UMANS-GUI-300x245.png 300w, https:\/\/project.inria.fr\/crowdscience\/files\/2020\/04\/UMANS-GUI-768x627.png 768w, https:\/\/project.inria.fr\/crowdscience\/files\/2020\/04\/UMANS-GUI-150x123.png 150w, https:\/\/project.inria.fr\/crowdscience\/files\/2020\/04\/UMANS-GUI.png 1202w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Overview UMANS (Unified Microscopic Agent Navigation Simulator) is a crowd-simulation framework that can reproduce many different algorithms for local navigation behavior (such as collision avoidance) in crowds. UMANS translates these algorithms to a single principle, while unifying as many simulation settings and details as possible. This makes it a suitable\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/crowdscience\/project\/ocsr\/umans\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1675,"featured_media":535,"parent":168,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-422","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/crowdscience\/wp-json\/wp\/v2\/pages\/422","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/crowdscience\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/crowdscience\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/crowdscience\/wp-json\/wp\/v2\/users\/1675"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/crowdscience\/wp-json\/wp\/v2\/comments?post=422"}],"version-history":[{"count":6,"href":"https:\/\/project.inria.fr\/crowdscience\/wp-json\/wp\/v2\/pages\/422\/revisions"}],"predecessor-version":[{"id":710,"href":"https:\/\/project.inria.fr\/crowdscience\/wp-json\/wp\/v2\/pages\/422\/revisions\/710"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/crowdscience\/wp-json\/wp\/v2\/pages\/168"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/crowdscience\/wp-json\/wp\/v2\/media\/535"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/crowdscience\/wp-json\/wp\/v2\/media?parent=422"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}