Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs - San Diego calibration report.
Yelchuru, B., Juckes, M., Casas, J., Torday, A., & Rinelli, P. (2016). Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs - San Diego calibration report (Report No. FHWA-JPO-16-382). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/32323
Yelchuru, Balaji, Matthew Juckes, Jordi Casas, Alex Torday, and Paolo Rinelli. Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs - San Diego calibration report. Report no. FHWA-JPO-16-382. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2016. https://rosap.ntl.bts.gov/view/dot/32323.
Yelchuru, Balaji, et al. Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs - San Diego calibration report. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2016, Report no. FHWA-JPO-16-382, ROSA P. https://rosap.ntl.bts.gov/view/dot/32323.
The primary objective of this project is to develop multiple simulation Testbeds/transportation models to evaluate the impacts of DMA connected vehicle applications and the active and dynamic transportation management (ATDM) strategies. The outputs (modeling results) from this project will help USDOT prioritize their investment decisions for DMA and ATDM programs.
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The primary purpose of this report is to document the calibration process for AMS ICM San Diego Testbed. The report expands on detailed testbed description including the geographic location, modes, operational conditions and cluster analysis details. The report discusses the field observed data used to calibrate the simulation models. Listed in this report are also the margin of error for each calibration effort for the typical day and each baseline model.
Yelchuru, B., Juckes, M., Casas, J., Torday, A., & Rinelli, P. (2016). Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs - San Diego calibration report (Report No. FHWA-JPO-16-382). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/32323
Yelchuru, Balaji, Matthew Juckes, Jordi Casas, Alex Torday, and Paolo Rinelli. Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs - San Diego calibration report. Report no. FHWA-JPO-16-382. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2016. https://rosap.ntl.bts.gov/view/dot/32323.
Yelchuru, Balaji, et al. Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs - San Diego calibration report. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2016, Report no. FHWA-JPO-16-382, ROSA P. https://rosap.ntl.bts.gov/view/dot/32323.
ROSA P serves as an archival repository of USDOT-published products including scientific
findings, journal articles, guidelines, recommendations, or other information authored or co-authored by
USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to
ensure public access to scientific information.
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