Integrated Corridor Management (ICM) on the I-15 Corridor in San Diego yielded an estimated benefit-to-cost ratio of 9.7:1.
Results from the Analysis, Modeling, and Simulation (AMS) of ICM for the I-15 Corridor
The modeling approach chosen came from an analysis of capabilities found in existing AMS tools and from the ICM Test Corridor project. The approach was an integrated platform that supported corridor management planning, design, and operations by combining the capabilities of existing tools. The overall integrated approach was based on interfacing travel demand models, mesoscopic simulation models, and microscopic simulation models.
The AMS methodology applied includes the macroscopic trip table manipulation for the determination of overall trip patterns and mesoscopic analysis of the impact of driver behavior in reaction to ICM strategies (both within and between modes) and a microscopic analysis of the impact of traffic control strategies at roadway junctions (such as arterial intersections or freeway interchanges.) The methodology also includes the development of interfaces between different tools, and the application of a performance measurement and benefit-cost module.
The results estimate that the deployment of ICM will have a benefit-to-cost ratio of 9.7:1 over a 10-year life cycle. The benefits found as a result of the analysis include annual reductions of
- 245,594 vehicle-hours of travel.
- 322,767 gallons of fuel consumption.
- 3,057 tons of vehicle emissions.
The analysis validated the hypotheses that ICM will be most effective in the worst operational conditions due to the finding that ICM strategies produce more benefits at higher levels of travel demand and during non-recurring congestion. Specifically, 93 percent of the benefits result from the high- and medium-demand scenarios, and two-thirds of the benefits are attributed to high- and medium-demand incident scenarios. The AMS identified a disbenefit from managed lanes in which the lanes are opened to all traffic during major freeway incidents.
Author: Cambridge Systematics
Published By: U.S. DOT
Prepared by Cambridge Systematics for the U.S. DOT
Source Date: September 2010
EDL Number: ForthcomingURL: http://www.its.dot.gov/icms/pioneer_sdiego.htm
Average User Rating
Intelligent Transportation Systems > Freeway Management > Lane Management > Pricing
Intelligent Transportation Systems > Freeway Management > Lane Management > High-Occupancy Vehicle Facilities
Intelligent Transportation Systems > Traveler Information > Pre-Trip Information
Intelligent Transportation Systems > Traveler Information > En Route Information
Intelligent Transportation Systems > Arterial Management > Lane Management > Lane Control
Related Metropolitan Integration Links
Typical Deployment Locations
congestion pricing, value pricing, variable road pricing, managed lanes, high occupancy vehicles, carpool lanes, high occupancy vehicle lane, HOV