{"id":1493582,"date":"2022-03-24T05:00:10","date_gmt":"2022-03-24T12:00:10","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1493582"},"modified":"2023-09-26T06:46:03","modified_gmt":"2023-09-26T13:46:03","slug":"a-real-time-framework-for-winter-weather-operation-using-arcgis-velocity","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-velocity\/real-time\/a-real-time-framework-for-winter-weather-operation-using-arcgis-velocity","title":{"rendered":"A Real-Time Framework for Winter Weather Operations Using ArcGIS Velocity"},"author":290632,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[37121,23351],"tags":[],"industry":[],"product":[756702],"class_list":["post-1493582","blog","type-blog","status-publish","format-standard","hentry","category-real-time","category-transportation","product-arcgis-velocity"],"acf":{"short_description":"Using ArcGIS Velocity's real-time capabilities to monitor snow plow operations. ","flexible_content":[{"acf_fc_layout":"content","content":"

Over 70% of the U.S. population resides in regions that receive snowfall in the winter months, and the increasing frequency and severity of snowstorms are subsequently consuming a larger percentage of operations and maintenance budgets every year. Cities and counties rely on prompt responsiveness of winter weather machinery to maintain free-flowing traffic. <\/span>\u00a0<\/span><\/p>\n

Locating and tracking snowplow vehicles are critical to identify which roads have been serviced in real-time and optimize response activity. The Winter Weather Operations<\/a> solution is used by government bodies to prepare and conduct response activities for extreme weather. <\/span>This solution uses <\/span>ArcGIS Velocity<\/span><\/a> as an underlying framework and enables real-time data ingestion and big data analysis to make informed operational decisions.\u00a0<\/span>\u00a0<\/span><\/p>\n

Different components of the solution use different Velocity capabilities. <\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

Ingesting real-time snowplow information<\/span><\/b>\u00a0<\/span><\/h2>\n

One of the fundamental elements in adverse weather response is coordinating snowplow operations.\u00a0 In the Winter Weather Operations solution, the <\/span>Active Winter Event Dashboard<\/span> equips operations managers with monitoring capabilities over snow response activities during a weather event.\u00a0 It displays the current and recent locations of all plows in the vehicle inventory.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1515572,"id":1515572,"title":"ActiveEventDashboard_1920x1080","filename":"ActiveEventDashboard_1920x1080.png","filesize":161139,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/ActiveEventDashboard_1920x1080.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-velocity\/real-time\/a-real-time-framework-for-winter-weather-operation-using-arcgis-velocity\/activeeventdashboard_1920x1080","alt":"","author":"6481","description":"","caption":"Active Winter Event Dashboard","name":"activeeventdashboard_1920x1080","status":"inherit","uploaded_to":1493582,"date":"2022-03-17 13:51:57","modified":"2022-03-17 13:52:18","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1917,"height":1008,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/ActiveEventDashboard_1920x1080-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/ActiveEventDashboard_1920x1080.png","medium-width":464,"medium-height":244,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/ActiveEventDashboard_1920x1080.png","medium_large-width":768,"medium_large-height":404,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/ActiveEventDashboard_1920x1080.png","large-width":1917,"large-height":1008,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/ActiveEventDashboard_1920x1080-1536x808.png","1536x1536-width":1536,"1536x1536-height":808,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/ActiveEventDashboard_1920x1080.png","2048x2048-width":1917,"2048x2048-height":1008,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/ActiveEventDashboard_1920x1080-826x434.png","card_image-width":826,"card_image-height":434,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/ActiveEventDashboard_1920x1080.png","wide_image-width":1917,"wide_image-height":1008}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

This live view of plow locations is <\/span>driven by <\/span>a real<\/span>-time <\/span><\/span>feed<\/span><\/span><\/a> powered by ArcGIS Velocity<\/span>.\u00a0 <\/span>A feed is a real-time stream of data coming into ArcGIS <\/span>from<\/span> sources such as <\/span>IoT<\/span> platforms, message brokers<\/span>, <\/span>third-party <\/span>APIs<\/span>, or<\/span> AVL<\/span> tracking systems<\/span>.<\/span>\u00a0 <\/span>Feeds parse<\/span> real-time data<\/span> and <\/span>prepare it for visualization and analysis<\/span>.\u00a0 <\/span>In the Winter Weather Operations solution<\/span>, <\/span>feeds connect to and ingest location data from vehicles<\/span>, whether that data is coming from <\/span><\/span>ArcGIS location tracking<\/span><\/span><\/a> or a <\/span>vendor AVL system<\/span> such as Geotab<\/a> or Verizon Connect Reveal<\/a><\/span>.<\/span><\/span>\u00a0<\/span><\/p>\n

Real-time information on vehicle positions provides up-to-the-minute situational awareness and is used to determine what roads have been serviced in near real-time. Collecting this information over time enables the generation of value metrics and key performance indicators on the effectiveness of the response effort.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1515672,"id":1515672,"title":"SnowPlows_Geotab","filename":"SnowPlows_Geotab.png","filesize":63310,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowPlows_Geotab.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-velocity\/real-time\/a-real-time-framework-for-winter-weather-operation-using-arcgis-velocity\/snowplows_geotab","alt":"","author":"6481","description":"","caption":"Display screen for vehicles feed","name":"snowplows_geotab","status":"inherit","uploaded_to":1493582,"date":"2022-03-17 14:53:25","modified":"2022-03-17 14:53:36","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1236,"height":594,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowPlows_Geotab-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowPlows_Geotab.png","medium-width":464,"medium-height":223,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowPlows_Geotab.png","medium_large-width":768,"medium_large-height":369,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowPlows_Geotab.png","large-width":1236,"large-height":594,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowPlows_Geotab.png","1536x1536-width":1236,"1536x1536-height":594,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowPlows_Geotab.png","2048x2048-width":1236,"2048x2048-height":594,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowPlows_Geotab-826x397.png","card_image-width":826,"card_image-height":397,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowPlows_Geotab.png","wide_image-width":1236,"wide_image-height":594}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Tracking & managing operations progress\u00a0<\/span><\/b>\u00a0<\/span><\/h2>\n

The Active Event Dashboard also provides information on the length and percentage of serviced roadways, the distance traveled, and amount of material deployed (i.e., salt).\u00a0 These metrics are calculated by leveraging the historical data of the vehicles\u2019 movements collected during the current event.<\/span>\u00a0<\/span><\/p>\n

In ArcGIS Velocity, a <\/span>real-time analytic<\/span><\/a> is used to transform and store snowplow vehicle positions over time to a feature layer.\u00a0 First, vehicle information and service status information are merged, which allows the Winter Weather Operations solution to work with AVL systems <\/span>or<\/span><\/i> ArcGIS location tracking because these different real-time data sources can be standardized into a consistent output schema.\u00a0 Then, the information is collected to a feature layer, leveraging <\/span>data retention<\/span><\/a> options so that historical data does not build up indefinitely.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1515852,"id":1515852,"title":"WinterFleetTracking_RealTimeAnalytic","filename":"WinterFleetTracking_RealTimeAnalytic.png","filesize":29438,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterFleetTracking_RealTimeAnalytic.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-velocity\/real-time\/a-real-time-framework-for-winter-weather-operation-using-arcgis-velocity\/winterfleettracking_realtimeanalytic","alt":"","author":"6481","description":"","caption":"Real-time analytic collecting vehicle location tracks over time","name":"winterfleettracking_realtimeanalytic","status":"inherit","uploaded_to":1493582,"date":"2022-03-17 16:50:33","modified":"2022-03-17 16:51:23","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1890,"height":477,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterFleetTracking_RealTimeAnalytic-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterFleetTracking_RealTimeAnalytic.png","medium-width":464,"medium-height":117,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterFleetTracking_RealTimeAnalytic.png","medium_large-width":768,"medium_large-height":194,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterFleetTracking_RealTimeAnalytic.png","large-width":1890,"large-height":477,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterFleetTracking_RealTimeAnalytic-1536x388.png","1536x1536-width":1536,"1536x1536-height":388,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterFleetTracking_RealTimeAnalytic.png","2048x2048-width":1890,"2048x2048-height":477,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterFleetTracking_RealTimeAnalytic-826x208.png","card_image-width":826,"card_image-height":208,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterFleetTracking_RealTimeAnalytic.png","wide_image-width":1890,"wide_image-height":477}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

This collected vehicle data is summarized in various ways using a scheduled <\/span>big data analytic<\/span><\/a>.\u00a0 Big data analytics perform pattern and summary analysis on large volumes of stored data.\u00a0 This analytic constructs tracks from the vehicle positions to summarize distance traveled, summarizes the amount of material deployed within the active winter event, and updates the status of the snow routes in terms of when they were last serviced.<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span>These datasets are then queried dynamically <\/span>by the Active Event <\/span>Dashboard, <\/span>providing operations m<\/span>anagers <\/span>key insights into <\/span>the progress of <\/span>storm<\/span> clean-up activities<\/span> to ensure <\/span>service agreements and <\/span>key performance metrics are being met.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1515872,"id":1515872,"title":"SnowRouteStatus_BigDataAnalytic","filename":"SnowRouteStatus_BigDataAnalytic.png","filesize":85021,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowRouteStatus_BigDataAnalytic.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-velocity\/real-time\/a-real-time-framework-for-winter-weather-operation-using-arcgis-velocity\/snowroutestatus_bigdataanalytic","alt":"","author":"6481","description":"","caption":"Big data analytic processing & summarizing vehicle tracks","name":"snowroutestatus_bigdataanalytic","status":"inherit","uploaded_to":1493582,"date":"2022-03-17 16:59:07","modified":"2022-03-17 16:59:25","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1894,"height":662,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowRouteStatus_BigDataAnalytic-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowRouteStatus_BigDataAnalytic.png","medium-width":464,"medium-height":162,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowRouteStatus_BigDataAnalytic.png","medium_large-width":768,"medium_large-height":268,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowRouteStatus_BigDataAnalytic.png","large-width":1894,"large-height":662,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowRouteStatus_BigDataAnalytic-1536x537.png","1536x1536-width":1536,"1536x1536-height":537,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowRouteStatus_BigDataAnalytic.png","2048x2048-width":1894,"2048x2048-height":662,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowRouteStatus_BigDataAnalytic-826x289.png","card_image-width":826,"card_image-height":289,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/SnowRouteStatus_BigDataAnalytic.png","wide_image-width":1894,"wide_image-height":662}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Stakeholder transparency into response status\u00a0<\/span><\/b>\u00a0<\/span>\u00a0<\/span><\/h2>\n

This not only promotes public safety but also helps reduce unnecessary calls for service by proactively sharing which roads are already planned for imminent response work.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1515892,"id":1515892,"title":"RouteStatusApp","filename":"RouteStatusApp.png","filesize":112451,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/RouteStatusApp.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-velocity\/real-time\/a-real-time-framework-for-winter-weather-operation-using-arcgis-velocity\/routestatusapp","alt":"","author":"6481","description":"","caption":"Route Status app","name":"routestatusapp","status":"inherit","uploaded_to":1493582,"date":"2022-03-17 17:03:18","modified":"2022-03-17 17:06:12","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1178,"height":744,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/RouteStatusApp-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/RouteStatusApp.png","medium-width":413,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/RouteStatusApp.png","medium_large-width":768,"medium_large-height":485,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/RouteStatusApp.png","large-width":1178,"large-height":744,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/RouteStatusApp.png","1536x1536-width":1178,"1536x1536-height":744,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/RouteStatusApp.png","2048x2048-width":1178,"2048x2048-height":744,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/RouteStatusApp-736x465.png","card_image-width":736,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/RouteStatusApp.png","wide_image-width":1178,"wide_image-height":744}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Finally, in addition to awareness of current storm operational status, department directors need to be able to review response activities over the course of a season and assess budget needs for the future.\u00a0 The <\/span>Winter Season Dashboard<\/span> provides a window into performance, event by event, breaking down vehicle activity, distance traveled, material used, and service requests.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1524092,"id":1524092,"title":"WinterSeasonDashboard_1790x950","filename":"WinterSeasonDashboard_1790x950.png","filesize":525971,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterSeasonDashboard_1790x950.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-velocity\/real-time\/a-real-time-framework-for-winter-weather-operation-using-arcgis-velocity\/winterseasondashboard_1790x950","alt":"","author":"6481","description":"","caption":"Winter Season Dashboard","name":"winterseasondashboard_1790x950","status":"inherit","uploaded_to":1493582,"date":"2022-03-22 19:25:06","modified":"2022-03-22 19:25:25","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1793,"height":949,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterSeasonDashboard_1790x950-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterSeasonDashboard_1790x950.png","medium-width":464,"medium-height":246,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterSeasonDashboard_1790x950.png","medium_large-width":768,"medium_large-height":406,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterSeasonDashboard_1790x950.png","large-width":1793,"large-height":949,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterSeasonDashboard_1790x950-1536x813.png","1536x1536-width":1536,"1536x1536-height":813,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterSeasonDashboard_1790x950.png","2048x2048-width":1793,"2048x2048-height":949,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterSeasonDashboard_1790x950-826x437.png","card_image-width":826,"card_image-height":437,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/02\/WinterSeasonDashboard_1790x950.png","wide_image-width":1793,"wide_image-height":949}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

This <\/span>comprehensive<\/span> view <\/span>is <\/span>also <\/span>powered<\/span> by <\/span>the vehicle history data<\/span> and <\/span>the summary information products generated by the <\/span>hosted <\/span>analytics <\/span>in ArcGIS <\/span>Velocity<\/span>. As a result, this dashboard<\/span> enables directors to <\/span>investigate <\/span>vehicle<\/span> activity <\/span>relative<\/span> to citizen requests and complaints, understand quantity of deployed material, <\/span>and measure overall effectiveness of <\/span>season operations for long-term planning.<\/span><\/span>\u00a0<\/span><\/p>\n

Summary<\/span><\/b>\u00a0<\/span><\/h2>\n

Today, local government agencies spend billions of dollars on snow & ice response and removal annually, and with winter storms becoming more frequent in many regions, operations and maintenance budgets run the risk of growing unsustainably.\u00a0 Leveraging and collecting real-time data on snowplow and material deployment operations are critical to optimizing storm response efforts. Configurable feeds and analytics in ArcGIS Velocity serve as an engine to these kinds of tasks, enabling effective operational monitoring and situational awareness, which is essential to reduce costs, promote public safety, and plan for what comes next.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n"}],"authors":[{"ID":6481,"user_firstname":"Suzanne","user_lastname":"Foss","nickname":"Suzanne Foss","user_nicename":"sfoss_dtc","display_name":"Suzanne Foss","user_email":"SFoss@esri.com","user_url":"","user_registered":"2018-03-02 00:18:24","user_description":"Suzanne is the Product Manager for Esri's Spatial Analytics & Data Science capability. She has worked in the geographic information systems industry for over 17 years with a focus on spatiotemporal analysis, model building, real-time processing, and workflow automation.","user_avatar":""},{"ID":295042,"user_firstname":"Ryan","user_lastname":"Nosek","nickname":"Ryan Nosek","user_nicename":"rnosek","display_name":"Ryan Nosek","user_email":"RNosek@esri.com","user_url":"","user_registered":"2021-12-06 18:30:52","user_description":"Ryan joined Esri in 2018 after over a decade in public service working for federal, state and local governments. As a product engineer on the ArcGIS Solutions team, Ryan works closely with Esri product teams and state and local government customers to design and develop solutions for transportation and public works agencies.","user_avatar":""},{"ID":290632,"user_firstname":"Akshaya","user_lastname":"Suresh","nickname":"Akshaya","user_nicename":"asuresh","display_name":"Akshaya Suresh","user_email":"asuresh@esri.com","user_url":"","user_registered":"2021-10-25 15:01:49","user_description":"Product Marketing Manager in the Imagery & Remote Sensing team at Esri with a passion for AI and big data analytics.","user_avatar":""}],"related_articles":[{"ID":1421402,"post_author":"295042","post_date":"2021-12-06 13:53:22","post_date_gmt":"2021-12-06 21:53:22","post_content":"","post_title":"ArcGIS Solutions for Winter Weather 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Another extremely important dimension of winter response activities is public outreach and communicating route status during a winter storm. The snow routes data, regularly updated by the big data analytic, enables public works departments and road commissions to provide transparency to their citizens and keep them informed on which roads are safe.\u00a0 The Snow Route Status app, part of the related <\/span>Winter Weather Outreach<\/span><\/a> solution, visualizes this information in terms of when a particular road segment was last serviced, and if service is still pending.<\/span>\u00a0<\/span><\/p>\n