Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs — evaluation report for DMA program.
Yelchuru, B., Kamalanathsharma, R., Li, P., Asudegi, M., Ong, B. T., Zhou, X., & Zohdy, I. (2017). Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs — evaluation report for DMA program (Report No. FHWA-JPO-16-383). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/32615
Yelchuru, Balaji, Raj Kamalanathsharma, Pengfei Li, Mona Asudegi, Boon Teck Ong, Xuesong Zhou, and Ismail Zohdy. Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs — evaluation report for DMA program. Report no. FHWA-JPO-16-383. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017. https://rosap.ntl.bts.gov/view/dot/32615.
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 — evaluation report for DMA program. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017, Report no. FHWA-JPO-16-383, ROSA P. https://rosap.ntl.bts.gov/view/dot/32615.
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.
While the project aims at evaluating both DMA applications and ATDM strategies, the primary purpose of this report is to document the evaluation done in terms of DMA applications using the AMS testbeds. ATDM evaluation will be documented in a separate report. Primarily, San Mateo and Phoenix were used as DMA-centric testbeds and were used to assess the DMA applications under various scenarios of combinations of applications, communication attributes and evaluation attributes to answer a set of research questions set forth by the USDOT.
Yelchuru, B., Kamalanathsharma, R., Li, P., Asudegi, M., Ong, B. T., Zhou, X., & Zohdy, I. (2017). Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs — evaluation report for DMA program (Report No. FHWA-JPO-16-383). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/32615
Yelchuru, Balaji, Raj Kamalanathsharma, Pengfei Li, Mona Asudegi, Boon Teck Ong, Xuesong Zhou, and Ismail Zohdy. Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs — evaluation report for DMA program. Report no. FHWA-JPO-16-383. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017. https://rosap.ntl.bts.gov/view/dot/32615.
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 — evaluation report for DMA program. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017, Report no. FHWA-JPO-16-383, ROSA P. https://rosap.ntl.bts.gov/view/dot/32615.
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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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