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Areas of Research at the CMS

Recurrent congestion:

  • Congestion modeling and mitigation strategies inside and around "hubs" such as seaports and airports.
  • Travel time reliability for freight and people between selected hubs and across selected corridors.
  • Streamlining of freight and traveler security screenings to minimize delays.
  • Congestion pricing strategies.
  • Assessing the effectiveness of policies that address congestion (e.g., concurrency, travel demand management, travel supply management, congestion management systems, etc.).
  • Modeling of the interactions between access management, local connectivity and traffic congestion (opportunities of internal capture and other strategies to reduce traffic on major arterials).
  • Strategies to promote non-motorized travel (e.g., walking and biking).
  • Assessment of advanced technologies and Intelligent Transportation Systems with respect to congestion mitigation.
  • Truck-movement bottlenecks in the Strategic Intermodal System (SIS).
  • Driver characteristics for various driver populations (such as older drivers) and their impacts on highway capacity.
  • Improvement of traffic signal systems to reduce delays in urban corridors.

Non-recurrent congestion:

  • Congestion modeling and mitigation of emergency transport of individuals and supplies during disasters (including evacuations prior to hurricanes, security threats, etc.).
  • Congestion modeling and mitigation strategies during special events (such as football games) and around activity generators (such as cruise ships).
  • Modeling and mitigation of congestion due to work zones and incidents.

Multimodal strategies:

  • Multimodal travel time estimation/reliability in urban corridors.
  • Multimodal/intermodal travel time estimation/reliability across hubs.
  • Multimodal data warehouse development and utilization as a resource for transportation professionals.
  • Strategies for intermodal connectivity of various transportation modes at SIS hubs.
  • Optimization of vehicle flow in the presence of high pedestrian and bicycle flow.
  • Congestion mitigation strategies to increase supply chain productivity.

Demand modeling:

  • Strategies for "repackaging" freight and traveler demand to mitigate congestion
  • Travel demand forecasting for hubs.
  • Behavioral responses of travelers to congestion levels and mitigation strategies.
  • Development of alternative land use/transportation configurations and their impacts on roadway capacity.
  • Impacts of Information and Communication Technologies (ICTs, such as internet, e-mail, and cell phones) on travel patterns.

CMS Facebook 512 Weil Hall . P.O. Box 116580 . Gainesville, FL 32611
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Last Updated 10/02/2013
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