In San Diego, ICM improves mobility for most commuters on I-15 saving them more than 1,400 person hours each day during peak commute periods.
Analysis, Modeling, and Simulation (AMS) assessment of Integrated Corridor Management (ICM) on I-15 in San Diego.
Made Public Date

Integrated Corridor Management Analysis, Modeling, and Simulation for the I-15 Corridor in San Diego, California: Post-Deployment Assessment Report

Summary Information

The focus of the ICM Post-Deployment assessment was to investigate the impacts of ICM in its "as deployed" state using Analysis, Modeling and Simulation (AMS) tools in San Diego. Macroscopic and microscopic simulation models were used to characterize and estimate the impacts of driver behavior in response to various traffic control strategies and changes in multi-modal options.

The ICM strategies modeled in the post-deployment AMS analysis included:

  • Active decision support system
  • Coordinated incident management
  • Freeway coordinated ramp metering
  • Actionable traveler information (en-route and pre-trip via CMS, a new 511 app, and other commercial sources)
  • Upgrades to selected traffic signal systems (new traffic signal coordination timings, responsive traffic signal control)
  • Alternate route wayfinding signs.


Based on a cluster analysis representing weekday travel characteristics, travel times improved in two peak directions as a result of ICM on I-15. The following overall findings were excerpted from the source report.

  • For the two peak directions (southbound AM and northbound PM), the expected daily travel time savings are 1,403 person hours of travel; expected annual savings are 267,850 person hours of travel (approximately 3.3 person of delay along the corridor using 35 hours of annual freeway delay per traveler per SANDAG’s San Diego Site: I-15 ICM Demonstration Project presentation at the American Public Transportation Association TransITech Conference on March 30, 2011 and an average daily traffic volume of 230,000 per Caltrans District 11 Interstate-15 Transportation Concept Summary published in June 2012).
  • The Planning Time Index only improves during the southbound morning peak direction. The Buffer Time improves in both peak directions.
  • Travel time variability improves during both peak directions; expected cumulative annual variability improvements is 188,816 hours.
  • Overall, more travelers experienced travel time benefits in both peak directions, as well as in the hypothetical severe incident scenario. On average (weighted by percent of total time period of individual clusters), +2.65% of travelers experienced travel time benefits in the northbound PM aggregated scenario and +4.01% experienced travel time benefits in the southbound PM aggregated scenario.