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Real time driver information for congestion management.
  • Published Date:
    2015-07-01
  • Language:
    English
Filetype[PDF-3.07 MB]


Details:
  • Publication/ Report Number:
    FHWA/LA.08/543
  • Resource Type:
  • Geographical Coverage:
  • Format:
  • Abstract:
    Traffic demand in the U.S. has grown substantially over the past few years because of the increase in population and

    urbanization in large cities. This causes traffic congestion to spread out over U.S. highways and arterials, and subsequently

    leads to deterioration in traffic networks in terms of operation, safety, and productivity. Therefore, congestion management

    strategies have become essential for addressing safety and operational problems. Recently, active traffic management (ATM)

    strategies have been recognized as efficient methods for managing widespread congestion, provided that a proper management

    strategy is identified and implemented. Any ATM strategy requires a systematic process that should work in a specific

    sequence starting from getting information from a congested road segment to dissemination of relevant information to

    travelers to help relieve congestion. This process starts with collecting traffic data from the roadways, screening the collected

    data to remove redundancies and erroneous data, synthesizing useful traffic information, and finally disseminating such

    information to travelers in real time. Based on the type of delivered information, travelers may alter their trip decision in terms

    of departure time, mode choice, and route selection in order to avoid congestion.

    This report presents a review of the state-of-the-art and state-of-practice methods used to execute the steps taken to deliver

    accurate real time traffic information to travelers and the impact such information has on congestion management. The report

    sheds light on different technologies and methodologies used for data collection, screening, and dissemination in the United

    States. In addition, the report highlights the impact of disseminated information on drivers’ behavior and transportation

    network operation and safety. More so, the report presents few case studies on different ATM strategies and shows the gained

    benefits from using these strategies.

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