CRIM has been working with the City of Montr\u00e9al for several years now, as part of the\u00a0Strat\u00e9gie montr\u00e9alaise, ville intelligente et num\u00e9rique 2014-2017,<\/i>\u00a0to help it improve its practices and many of its computer and technology systems.<\/p>\n
One of the mandates of CRIM in 2017 was the design of prediction tools for the\u00a0Service de s\u00e9curit\u00e9 incendie de Montr\u00e9al\u00a0(SIM).<\/p>\n
First, a tool for predicting the response time to alerts was developed. Its objective is to predict the time required for a SIM unit to arrive at the scene of an alert from a fire station. This tool predicts these times according to several parameters (time of day, year, type of workforce, traffic, etc).<\/p>\n
The CRIM team also developed a risk prediction tool for two categories of incidents: first responder calls and fires. In order to predict the level of risk, the tool uses incident history, as well as external data sources such as the weather, the building register of Montr\u00e9al and certain socio-demographic indicators that can represent risk factors.<\/p>\n
These two prediction tools will be integrated into the SIM\u2019s operational activities within a dashboard designed by the City of Montr\u00e9al\u2019s Information Technology department (STI). These tools are part of a larger project to create a comprehensive simulation system that can be used as a decision support software.\u00a0This project called upon CRIM\u2019s expertise in data science and systems architecture.<\/p>\n","protected":false},"excerpt":{"rendered":"
CRIM has been working with the City of Montr\u00e9al for several years now, as part of the\u00a0Strat\u00e9gie montr\u00e9alaise, ville intelligente et num\u00e9rique 2014-2017,\u00a0to help it improve its practices and many of its computer and technology systems. One of the mandates of CRIM in 2017 was the design of prediction tools for the\u00a0Service de s\u00e9curit\u00e9 incendie […]<\/p>\n","protected":false},"author":34,"featured_media":996,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"projets":[494,495,493],"tags":[72,75,74],"class_list":["post-1314","projet","type-projet","status-publish","format-standard","has-post-thumbnail","hentry","projets-ai","projets-data-science","projets-experimental-dev","tags-data-science","tags-smart-city","tags-systems-architecture"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.crim.ca\/en\/wp-json\/wp\/v2\/projet\/1314","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.crim.ca\/en\/wp-json\/wp\/v2\/projet"}],"about":[{"href":"https:\/\/www.crim.ca\/en\/wp-json\/wp\/v2\/types\/projet"}],"author":[{"embeddable":true,"href":"https:\/\/www.crim.ca\/en\/wp-json\/wp\/v2\/users\/34"}],"version-history":[{"count":4,"href":"https:\/\/www.crim.ca\/en\/wp-json\/wp\/v2\/projet\/1314\/revisions"}],"predecessor-version":[{"id":6947,"href":"https:\/\/www.crim.ca\/en\/wp-json\/wp\/v2\/projet\/1314\/revisions\/6947"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.crim.ca\/en\/wp-json\/wp\/v2\/media\/996"}],"wp:attachment":[{"href":"https:\/\/www.crim.ca\/en\/wp-json\/wp\/v2\/media?parent=1314"}],"wp:term":[{"taxonomy":"projets","embeddable":true,"href":"https:\/\/www.crim.ca\/en\/wp-json\/wp\/v2\/projets?post=1314"},{"taxonomy":"tags","embeddable":true,"href":"https:\/\/www.crim.ca\/en\/wp-json\/wp\/v2\/tags?post=1314"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}