MS2 traffic data management system for Oklahoma DoT

AWS-hosted cloud-based traffic data management solution will upgrade legacy monitoring
By Adam Hill October 23, 2024 Read time: 1 min
Oklahoma City (© Nathan Weisser | Dreamstime.com)

Transport data analysis specialist MS2 has been chosen by Oklahoma Department of Transportation (ODoT) in the US to help update its systems.

ODoT has selected MS2's cloud-based traffic data management system (TDMS) to streamline its traffic monitoring process.

Hosted on Amazon Web Services, it will enable ODoT "to perform business operations efficiently and effectively to meet State and Federal mandates, as well as align with the state’s Transportation Modernization Initiative to shape the future of transportation in Oklahoma", MS2 says.

The system is integrated with ArcGIS Server and Google Maps, and contains a number of software modules - from traffic count to Weigh in Motion - and is designed to be flexible as transport needs change. 

“We are excited to work with the ODoT team to upgrade its legacy traffic monitoring system,” said Ben Chen, founder and principal partner of MS2.

ODoT will be using:

  • Traffic Count Database System (TCDS)
  • Turning Movement Count System (TMC)
  • Highway Performance Monitoring System (HPMS)
  • Traffic Forecast Management System (TFMS)
  • Work Order Tracking System (WOTS)
  • Autopolling Extension (AP)
  • Count Scheduler Extension (CS)
  • Roads and Highways Extension (R&H)
  • Field Tool Extension (FT)
  • Publication Database (PD)
  • Traffic Viewer Extension (TV)
     

The company has more than 270 clients, including 23 US state DoTs.

Detection, Monitoring & Machine Vision Classification & Data Collection GIS/ Mapping & Location Based Systems Urban Traffic Control

Related Content

  • Informal transport moves emerging megacities
    August 11, 2020
    If you want to get to work in emerging markets, the chances are you may not be using traditional public transit lines. Devin de Vries of WhereIsMyTransport makes the case for informal networks
    Read More
  • Phoenix rises to the Smart City challenge
    December 10, 2015
    Andrew Bardin Williams looks at the City of Phoenix where voters backed a $30bn plan to revamp its transportation network to cultivate a more connected community. According to a Land Use Institute study, half of all Americans and even more millennials (63%) would like to live in a place where they do not need to use a car very often. The City of Phoenix is putting in place plans to revamp its urban development and transportation policies to meet these changing quality of life perceptions.
    Read More
  • Asecap prepares for ‘interoperability on steroids’
    March 31, 2023
    The gathering of Europe’s toll professionals offers a chance for views to be exchanged by senior people on a number of big issues: and there’s currently an awful lot to think about, reports Geoff Hadwick
    Read More
  • Artificial Intelligence applications for commercial vehicle operations
    December 28, 2021
    The combination of machine learning, deep neural networks and computer vision provides opportunities to address in new ways an increasing range of functions that are a part of commercial vehicle operations. Here, IRD’s Rish Malhotra details how.
    Read More

Highlighted Content