Chiu, Y. C., Bustillos, B. I., Papayannoulis, V., Hickman, M., Head, L., Wang, S., & Alexiadis, V. (2010). Integrated corridor management (ICM) analysis, modeling, and simulation (AMS) for Minneapolis site : model calibration and validation report (Report No. FHWA-JPO-10-036;EDL Number 14943). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/3482
Chiu, Yi-Chang, Brenda I. Bustillos, Vassilis Papayannoulis, Mark Hickman, Larry Head, Shuo Wang, and Vassili Alexiadis. Integrated corridor management (ICM) analysis, modeling, and simulation (AMS) for Minneapolis site : model calibration and validation report. Report no. FHWA-JPO-10-036;EDL Number 14943. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2010. https://rosap.ntl.bts.gov/view/dot/3482.
Chiu, Yi-Chang, et al. Integrated corridor management (ICM) analysis, modeling, and simulation (AMS) for Minneapolis site : model calibration and validation report. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2010, Report no. FHWA-JPO-10-036;EDL Number 14943, ROSA P. https://rosap.ntl.bts.gov/view/dot/3482.
This technical report documents the calibration and validation of the baseline (2008) mesoscopic model for the I-394
;
Minneapolis, Minnesota, Pioneer Site. DynusT was selected as the mesoscopic model for analyzing operating conditions
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in the I-394 corridor study area, and the report provides details on the network development, traffic flow model calibration,
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origin-destination (OD) demand calibration, and model validation. In addition, the report provides a modeling methodology
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for simulation of transit, as well as the results of a sensitivity analysis, utilizing information from a known incident,
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undertaken to verify the ability of the validated model to replicate operating conditions for incident scenarios.
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In summary, the DynusT model for the I-394 corridor replicated the 2008 baseline operating conditions well as evidenced
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by the comparisons of observed and modeled volumes, travel times, and speed contours on I-394. Furthermore, the
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simulated known incident exhibited consistent traffic diversions, speed reductions, duration, and queue propagation with
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the actual data.
The ICM approach involves aggressive,proactive integration of infrastructurealong major corridors so thattransportation professionals can fullyleverag
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United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
This report presents the test plan for conducting the Decision Support System (DSS) Analysis for theUnited States Department of Transportation (U.S. D
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This report provides an analytical framework for evaluating the two field deployments under the United StatesDepartment of Transportation (U.S. DOT) I
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This report presents the test plan for conducting the Corridor Performance Analysis for the United StatesDepartment of Transportation (U.S. DOT) evalu
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This report presents the test plan for conducting the Technical Capability Analysis for the United StatesDepartment of Transportation (U.S. DOT) evalu
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This report presents the test plan for conducting the Benefit-Cost Analysis (BCA) for the United StatesDepartment of Transportation (U.S. DOT) evaluat
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This report presents the test plan for conducting the Corridor Performance Analysis for the United StatesDepartment of Transportation (U.S. DOT) evalu
...
This report presents the test plan for conducting the Benefit-Cost Analysis (BCA) for the United StatesDepartment of Transportation (U.S. DOT) evaluat
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This report presents the test plan for conducting the Air Quality Analysis for the United States Department of Transportation (U.S. DOT) evaluation of
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This report presents the test plan for conducting the Decision Support System Analysis for the United States Department of Transportation (U.S. DOT) e
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This report presents the test plan for conducting the Institutional and Organizational Analysis for the United States Department of Transportation (U.
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This report presents the test plan for conducting the Institutional and Organizational Analysis for theUnited States Department of Transportation (U.S
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This executive summary documents the analysis methodologies, tools, and performance measures used toanalyze Integrated Corridor Management (ICM) strat
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Chiu, Y. C., Bustillos, B. I., Papayannoulis, V., Hickman, M., Head, L., Wang, S., & Alexiadis, V. (2010). Integrated corridor management (ICM) analysis, modeling, and simulation (AMS) for Minneapolis site : model calibration and validation report (Report No. FHWA-JPO-10-036;EDL Number 14943). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/3482
Chiu, Yi-Chang, Brenda I. Bustillos, Vassilis Papayannoulis, Mark Hickman, Larry Head, Shuo Wang, and Vassili Alexiadis. Integrated corridor management (ICM) analysis, modeling, and simulation (AMS) for Minneapolis site : model calibration and validation report. Report no. FHWA-JPO-10-036;EDL Number 14943. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2010. https://rosap.ntl.bts.gov/view/dot/3482.
Chiu, Yi-Chang, et al. Integrated corridor management (ICM) analysis, modeling, and simulation (AMS) for Minneapolis site : model calibration and validation report. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2010, Report no. FHWA-JPO-10-036;EDL Number 14943, ROSA P. https://rosap.ntl.bts.gov/view/dot/3482.
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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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