United States Department of Transportation
i
Traffic analysis toolbox volume XIII : integrated corridor management analysis, modeling, and simulation guide
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2017-02-01
[PDF-4.79 MB]
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Abstract:As part of the Federal Highway Administration (FHWA) Traffic Analysis Toolbox (Volume XIII), this guide was designed to help corridor stakeholders implement the Integrated Corridor Management (ICM) Analysis, Modeling, and Simulation (AMS) methodology successfully and effectively. It provides a step-by-step approach to implementation of the ICM AMS methodology and reflects lessons learned in its application to the two ICM Demonstration sites, the three ICM Pioneer Sites, and a test corridor. It is specifically targeted at technical and/or program managers in transportation agencies at the State or local level who may oversee implementation of ICM and/or an ICM AMS initiative. This Guide is a helpful reference to all stakeholders involved in AMS, including technical modelers, by providing a framework for developing an effective analysis plan to support selection and application of available tools and models specifically conducive to ICM. This version of the guide is an update over the previous version of the guide – the newest version incorporates new guidance based on lessons learned during the conduct of the AMS assessments, pre- and post-deployment for the two ICM demonstration sites including Dallas U.S. 75 and San Diego I-15.
Although many useful recommendations are made in this document, this guide is not intended to present a rigid template to be strictly followed in all ICM applications. The varying characteristics of individual regions, corridors, deploying agencies, and ICM strategies virtually ensure that each AMS effort will be different in each ICM application. Users of the document are encouraged to modify and enhance the processes presented here to best meet their own needs. Finally, this guide is not a modeling tutorial. It is designed to provide guidance to managers interested in implementing the ICM AMS methodology. Lessons learned through these continuous improvement and customization efforts are further anticipated to add to the knowledge base for future assessments of ICM through the process of continuous improvement.
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