Jensen, Mark (Cambridge Systematics); Sam Fayez (Productivity Apex); and Susan DeSantis
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Three prototype Freight Advanced Traveler Information System (FRATIS) systems were tested in Los Angeles, Dallas/Fort Worth, and South Florida. The FRATIS technologies deployed at one or two drayage companies in each test area included drayage truck fleet scheduling optimization, real-time information exchange with trading partners involving arrival, departure, and status information related to current or pending container movements. Considered part of USDOT’s Dynamic Mobility Applications Program, FRATIS prototype systems were tested during 2014-2015.
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In 2012, the Federal Highway Administration and Joint Intelligent Transportation Program Office initiated the Freight Advanced Traveler Information System (FRATIS) project as part of the USDOT’s Dynamic Mobility Applications Program. Prototypes deployed in Los Angeles, Dallas/Fort Worth, and South Florida tested software for drayage companies that would improve the operations of those companies in moving containers between intermodal terminals and various inland shipping points. An independent assessment of those prototypes was conducted, in part based on data collected before and during the test period (2014-2015).

The LA-Gateway FRATIS deployment centered around improved communications between trucking companies and intermodal terminals, the application of advanced algorithms to optimize truck routing and deliveries, and the provision of dynamic routing of trucks around congestion. The two primary private-sector participants in the Los Angeles FRATIS demonstration project were Yusen Terminals, Inc. (YTI), a Port of Los Angeles Terminal, and Port Logistics Group (PLG), a regional drayage fleet.

A major component of the project was the employment of a Drayage Optimization Algorithm which allowed for the participants to work together in a way which optimized the PLG truck deliveries and movements based on several key constraints (e.g., time of day, PierPass restrictions, terminal queue status, etc.). The optimization algorithm was applied during the preplanning dispatch stage to 50 trucks and drivers of PLG’s fleet through a TomTom in-vehicle tracking, traveler information and information exchange system. The trucks were then asked to follow the given optimized plan for that day, with hopes of achieving significant reductions of miles traveled, time spent, and fuel usage.

The project team documented key lessons learned, actions, and mitigation strategies throughout the life of the project in order to ensure successful completion of the pilot program and to help ensure the success of follow-on efforts.
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USDOT Federal Highway Administration
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Los Angeles-Gateway Freight Advanced Traveler Information System Demonstration Team Final Report
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