Leveraging Big Data for Congestion Management Programs
Traditionally, transportation system performance and congestion monitoring has been limited to using floating car surveys and traffic count data. Data from these conventional methods covered a limited number of observations.
With technological advancements, massive traffic data from infrastructure sensors and vehicle probes have become increasingly available. This new and rich data has made way for Big Data analytics as an emerging method for performing state of the system monitoring.
Iteris is leading the development of this Big Data approach to provide better understanding of system performance, especially, in transitioning regional and county agencies to more comprehensive monitoring using commercial speed and transit data.
Iteris will help you meet the requirements of MAP-21 and development of the Congestion Management Program (CMP) for your area.
How Iteris leverages Big Data:
- Analyze millions of data records from real-time traffic sources
- Analyze transit data including Automatic Passenger Counts (APC)
- Derive meaningful performance measures: travel time, delay, level of service, reliability
- Provide interactive visualization for stakeholders and the general public
Customer Testimonial - San Francisco County Transportation Authority (SFCTA)
"Iteris provided the analysis and support to help us transition to commercial speed data for our traffic monitoring, cost-effectively generating more robust results than we could achieve using the floating car method.”