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Ten Attributes of a Successful ICM Site

Filetype[PDF-1.11 MB]


  • English

  • Details:

    • Alternative Title:
      Integrated Corridor Management (ICM): Ten Attributes of a Successful ICM Site
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    • Edition:
      Fact sheet
    • Abstract:
      In 2013, the U.S. DOT selected two corridors – U.S. 75 in Dallas, TX and I-15 in San Diego, CA to demonstrate the nation’s first ICM systems. Subsequently, thirteen more sites were awarded grants to conduct pre-implementation. Those additional sites are located in Austin, Texas; El Paso, Texas; Pasadena, California; Contra Costa County, California; Portland, Oregon; Salt Lake City, Utah; Broward County, Florida; New York City, New York; Maricopa County, Arizona; Baltimore- Washington region; Northern Virginia East- West Corridor; Buffalo-Niagara region; and New Jersey. Through the ICM initiative, the U.S. DOT is providing guidance to assist agencies in implementing ICM and creating supporting analysis, tools, and approaches, and is gleaning lessons learned. ICM attempts to help manage and control congestion on freeways and arterials by utilizing multimodal communication between transportation organizations and agencies. ICM can improve travel-time reliability and alleviate congestion by providing drivers and motorists multimodal traffic information to enable the most efficient and fastest means of transportation. Prospective areas considering ICM must ensure that they are properly prepared to address implementation challenges. Dedicated coordination with local agencies and organizations is necessary to ensure that even the smallest details are not overlooked. For example, one agency upgrading software on a system may seem minute, but this can cause malfunctions in the system flow for partner agencies. These tasks are small but crucial in guaranteeing implementation success. In addition, communication and coordination between partner agencies is critical to ensure efficient operation of the system.
    • Content Notes:
      The publication date was not present in the document text, the date of November 2018 comes from the PDF metadata.
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