Activity-Based Travel Demand Modeling for Metropolitan Areas in Texas: Software-Related Processes and Mechanisms for the Activity-Travel Pattern Generation Microsimulator
Bhat, C. R., Guo, J., Srinivasan, S., & Sivakumar, A. (2003). Activity-Based Travel Demand Modeling for Metropolitan Areas in Texas: Software-Related Processes and Mechanisms for the Activity-Travel Pattern Generation Microsimulator (Report No. FHWA/TX-04/0-4080-5). University of Texas at Austin. Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/83560
Bhat, Chandra R., Jessica Guo, Sivaramakrishnan Srinivasan, and Aruna Sivakumar. Activity-Based Travel Demand Modeling for Metropolitan Areas in Texas: Software-Related Processes and Mechanisms for the Activity-Travel Pattern Generation Microsimulator. Report no. FHWA/TX-04/0-4080-5. University of Texas at Austin. Center for Transportation Research, 2003. https://rosap.ntl.bts.gov/view/dot/83560.
Bhat, Chandra R., et al. Activity-Based Travel Demand Modeling for Metropolitan Areas in Texas: Software-Related Processes and Mechanisms for the Activity-Travel Pattern Generation Microsimulator. University of Texas at Austin. Center for Transportation Research, 2003, Report no. FHWA/TX-04/0-4080-5, ROSA P. https://rosap.ntl.bts.gov/view/dot/83560.
The Comprehensive Econometric Microsimulator for Daily Activity-travel Patterns (CEMDAP) is the microsimulation implementation of the activity-travel modeling system developed for metropolitan areas. Given various land-use, sociodemographic, activity-system, and transportation level-of-service attributes as input, the system provides as output the complete daily activity-travel patterns for each individual in the sample households. This report describes the software development process. The steps involved in applying CEMDAP to predict activity-travel patterns and to perform policy analysis are also presented. Empirical results obtained from applying the software to the Dallas/Fort Worth area demonstrate that CEMDAP provides a means of analyzing policy impacts in ways that are generally infeasible with the conventional four step approach.
Bhat, C. R., Guo, J., Srinivasan, S., & Sivakumar, A. (2003). Activity-Based Travel Demand Modeling for Metropolitan Areas in Texas: Software-Related Processes and Mechanisms for the Activity-Travel Pattern Generation Microsimulator (Report No. FHWA/TX-04/0-4080-5). University of Texas at Austin. Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/83560
Bhat, Chandra R., Jessica Guo, Sivaramakrishnan Srinivasan, and Aruna Sivakumar. Activity-Based Travel Demand Modeling for Metropolitan Areas in Texas: Software-Related Processes and Mechanisms for the Activity-Travel Pattern Generation Microsimulator. Report no. FHWA/TX-04/0-4080-5. University of Texas at Austin. Center for Transportation Research, 2003. https://rosap.ntl.bts.gov/view/dot/83560.
Bhat, Chandra R., et al. Activity-Based Travel Demand Modeling for Metropolitan Areas in Texas: Software-Related Processes and Mechanisms for the Activity-Travel Pattern Generation Microsimulator. University of Texas at Austin. Center for Transportation Research, 2003, Report no. FHWA/TX-04/0-4080-5, ROSA P. https://rosap.ntl.bts.gov/view/dot/83560.
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