CATT Lab

I just uploaded “NPMRDS-05-17-23” to #Vimeo: vimeo.com/836167822

I just uploaded “Chesapeake Bay Bridge Queue Detection, Prediction, and Monitoring Web App” to #Vimeo: vimeo.com/803837172

I just uploaded “NPMRDS-Webinar-Feb2023.mp4” to #Vimeo: vimeo.com/800960717

RITIS Report - Fall 2022 Edition Read the Latest News from the CATT Lab - Ohio DOT Optimizes Signalized Corridors, New Causes of Congestion Graphs Tool and Satellite Imagery Now Available as a Basemap Option conta.cc/3UztIv8

Take a look at last summer's news from the RITIS user community by clicking the following link conta.cc/3ygr44U. conta.cc/3ygr44U

@MDSHA Administrator, Tim Smith, covers key components of #TSMO approach in Maryland. He calls out partnerships, such as the one with the @CATT_Lab, as the key to success. #ITSMD

RITIS Report - Summer 2022 Edition Read the Latest News from the CATT Lab - Las Vegas Blvd ASCT, New Release of Trip Analytics and New Video Tutorial Resources conta.cc/3a26vR0

Our team is out in full force for the last day of #TRBAM exhibits. Stop by to learn about the latest innovations in #DataAnalytics to support #transportation operations and planning.

Visit us at Booth 717 in the exhibit hall at #TRBAM. We are showcasing innovative #BigData applications including trip data #analytics, #multimodal common operating platforms, and other opportunities to solve real problems using data and information #visualization.

Following @GulfRegionITS we are connecting with a great group at @LTRC_Updates ITS Summit to talk about #datadriven insights and #travel patterns.

In this @GulfRegionITS session we are talking about an update to the famous 2004 #traffic congestion pie chart to use latest and greatest available #data and adding ability to drill down to individual states and counties.

Next up @GulfRegionITS we will be demonstrating the capability to monitor and analyze traffic signal systems performance without installing any hardware using #connectedvehicles #data.

Next up @GulfRegionITS we will be demonstrating the capability to monitor and analyze traffic signal systems performance without installing any hardware using #connectedvehicles #data.

@CATT_Lab is #hiring. We have a #jobopening for a #Software Technical Program Manager (ejobs.umd.edu/postings/82181). Of course we're always looking for talented #SoftwareEngineer and #SoftwareDeveloper candidates.

Next #NaTMEC webinar on 1/20 is "Validating and Leveraging Probe Data to Understand Travel Patterns and Identify Candidate Operations Projects." It's offered as part of continuing partnership with @ITEhq. Visit here for more info and a link to register: natmec.org/webinars

The Fall issue of the @ClarkSchool publication Civil Remarks features a story on @CATT_Lab's #COVID19 Impact Analysis Platform, as well as Lab's contribution to improved triaging after vehicle crashes, and Lab's participation in 2020 #TRBAM: cee.umd.edu/sites/civil.um…

Our own @umdnik will be participating in @NASEMTRB centennial webinar panel today speaking about the future of #transportation #research: nationalacademies.org/event/11-12-20…

Connecting the increase in transmission in Arizona directly to specific reopening policies is difficult. Although the general timing makes sense as we've seen a reduction in social distancing, this is not definitive. Figure from @CATT_Lab (data.covid.umd.edu). 4/10

@De_Kloek @trvrb Not exactly the absolute number of tests performed daily, but we show a couple of related metrics: "Testing capacity gap" and "Tests done per 1,000 people".

As many have noted, there has been an uptick in confirmed #COVID19 cases in multiple states starting roughly at the beginning of June. There is a major question surrounding how much "re-opening" efforts are contributing to increases in transmission. Figure from @nytimes. 1/10

@hobby_robotics @drpritch2 You're right - try data.covid.umd.edu/findings/index… instead to you can get to it from the front page via the "Findings" link.

Fantastic analysis and data graphic on social distancing behavior across the United States, from @CATT_Lab in Maryland. #COVID19 #StayHome data.covid.umd.edu/findings/