Automating Corridor Analysis and Traffic Studies

Urban SDK helps Florida Department of Transportation (FDOT) automate corridor performance, traffic, and safety analysis with real-time IoT, connected vehicle, and traffic incident data.

What was the problem?

Cities and Transportation agencies are quickly running into data congestion problems. Every year, intersections, roadways, vehicles, safety equipment, infrastructure requirements are becoming internet-connected, more complex and require DOT districts and cities more systems to manage. Additionally data congestion is being compounded by individual departments, agencies, and organizations ramping investment in smart ITS and TSM&O related projects without a consistent digital strategy.

Florida Department of Transportation (FDOT) is a leader in technology and technology investments, however data visualization and interoperability across systems is increasingly becoming a challenge. Even with significant technology investments, District 2 was experiencing a lag in responsiveness when it needed real-time corridor analysis requiring data from across multiple platforms including vehicle count, speed, intersection, video, and safety incident reporting.

Corridor analysis could take multiple days for FDOT to identify what was causing significant delays in travel time, average speed and incident clearances. Our question to answer "Why is speed slowing down on a specific roadway segment?"

Disparate Systems - Corridor analysis required data from disparate systems
Data Visualization - It was impossible to actually see the cause of the problem
Manual Processes- Gathering information from disparate systems required multiple people

What was the solution?

Urban SDK worked with the FDOT to create a real-time traffic and safety analytics platform for performance based planning. Our platform integrates complex, real-time traffic speed, roadway, intersection and safety data to instantly visualize the most important performance metrics. We focused on the ability to quickly identify the roadway segments which the greatest problem and visualize the root cause from IoT and connected vehicle data.

We enable FDOT to track ongoing performance with intuitive analytics dashboards for real-time or historic reporting, analysis, and performance based planning. The platform is flexible enough to measure one road or every road in the entire state and allow users to customize the corridors, roadways and performance measures that matter most.

Performance Indicators & Metrics

  • Average Speed
  • Incidents & Clearance Time (By Location & Type)
  • Space Mean Speed
  • Average Travel Time
  • Travel Time Reliability
  • Intersections & Pedestrian Calls

Data connecters

  • Bluetoad
  • ATMS.NOW
  • Sunguide
  • RITIS
  • Here
  • Waze
  • NOAA
  • Mapbox

We normalize and combine information to in our intuitive business intelligence and geospatial visual analytics software. The combination of automated trend analysis and data interoperability provides modern planners the ability to get answers fast and long-term focus exclusively on performance based outcomes and make better long term plans from actual evidence.

What is the long term value?

FDOT now has a real-time tool to integrate systems and visualize the most important indicators of success. The Urban SDK Traffic platform also enables FDOT to access, share, and manage open data with regional and state partners such as law enforcement, cities, metropolitan planning organizations, and contractors working on many different projects.

This product not only provides the basics we all desire, like data visualization and exchanges, but also the predictive analytics needed to plan for the future.
Pete Vega, TSM&O Manager

Urban SDK automates corridor performance, traffic, and safety analysis with real-time IoT, connected vehicle, and traffic incident data for state and local government agencies. Transportation planners can automate 200+ performance measures from an index of complex roadway and mobility data. Data is indexed locally from sensors, traffic systems, and historical data and merged with emerging connect, vehicle, pedestrian, and open data sources such as ride hailing, car share, bike share and infrastructure network data.


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