Modeling Data

Modeling Data

The CMAP Travel Demand Models are a set of computational tools used to predict transportation system use under a variety of socioeconomic conditions and public policy scenarios.  

CMAP's Trip-Based Models

CMAP's current "trip-based" models are used to evaluate long-range regional planning strategies and to estimate transportation contributions to regional air quality. The results of these models also help transportation engineers design their projects for actual construction. Our "trip-based" method is widely accepted and is the primary approach used for metropolitan transportation planning nationwide.

The "trip-based" models are documented in support of CMAP's GO TO 2040 Comprehensive Regional Plan and required demonstration of Air Quality Conformity. The Travel Model Documentation Report describes the overall structure and flow of the CMAP trip-based models. The 2017 Travel Model Validation Report examines the reasonableness of CMAP's "trip-based" model results.  Modeling data, both inputs and outputs, are available on the CMAP Data Sharing Hub.  Current trip based data can be found under the group Current Regional Model Data.  Older data is also archived there under  the group named Archived Regional Model Data.

Other links: 2011 Travel Model Validation Report

CMAP's Activity Based Models

CMAP is also developing a set of advanced models under the "activity-based" modeling framework. This is a multi-year effort outlined in our Strategic Plan for Advanced Modeling at CMAP. Activity-Based Modeling is increasingly viewed as a superior method to better understand the socioeconomic determinants of travel choice and for evaluating modern transportation solutions. The research effort to implement advanced models for metropolitan planning is still comparatively young.

CMAP's activity-based model (ABM) platform is CT-RAMP (Coordinated Travel and Regional Activity-Based Modeling Platform), which was developed open source by a consultant under contract to CMAP.  Development of CMAP's ABM has occurred in two distinct phases:

1. The initial phase focused on the development of an ABM that would demonstrate sensitivity to highway pricing scenarios based on each traveler's individual value of time.  Completion of this work provided CMAP with capabilities to evaluate toll and managed lane scenarios from the perspective of the user.  The software delivered provided a complete methodological approach to activity-based modeling with all of the primary functions in place and a flexible system to allow for future analysis extensions to the ABM framework.  This work was completed in June 2011 and is documented in the Phase 1 Final report and User Guide

2. The second phase of ABM development at CMAP focused on improving model sensitivity to a wider range of non-traditional transit attributes, i.e., attributes that do not typically inform transit Level-of-Service calculations.  This "transit modernization" component of ABM development concentrated on responding to changes in transit amenities such as service reliability, personal safety, station and vehicle cleanliness, and crowding.  This phase of ABM development was completed in June 2013 and is documented in the Phase 2 Final Report and User Guide

Subsequent work on the ABM has focused on the calibration of selected sub-models and the overall validation of the model results.  

Several progressive regional planning agencies nationwide have embarked on advanced model development programs and CMAP joins them in a commitment to improve the state-of-the-practice in travel modeling. To inquire about our advanced travel model work program, please contact us at

CMAP's Freight Models

The advanced model development efforts include improvements in CMAP's freight modeling capability.   This has taken place in a phased process.  Model documentation is available for Phase I, Phase II and Phase III.  


CMAP also hosts the monthly Chicago Area Travel Model User Group (CATMUG). If you are interested in learning more about research, development and applications in travel demand modeling, please join us. All are welcome.

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