Research notes : developing corridor-level truck travel time estimates and other freight performance measures from archived ITS data.
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Research notes : developing corridor-level truck travel time estimates and other freight performance measures from archived ITS data.

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    Developing corridor-level truck travel time estimates and other freight performance measures from archived ITS data.
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  • Abstract:
    This research project demonstrated that it is feasible to use the WIM data to develop long-term corridor performance monitoring of truck travel. From the perspective of a realtime traveler information system, there are too many shortcomings – mainly the large spacing of the stations – in the data to implement without additional improvements. Three solutions can solve the data shortcomings challenge. First, additional sensors to read transponders could be installed to improve the accuracy and decrease the latency of time estimates. Second, minor methodological improvements could be made to the through truck filter that could improve its accuracy to identify through vehicles. Third, additional work could be done to improve the method to relate truck travel times to cars. Advances in traffic monitoring technologies such as cell phone, navigation devices, vehicle-to-vehicle, vehicle-to-infrastructure, and in particular Media Access Control (MAC) address matching may prove to be more suitable for providing real-time traveler information.

    The project also demonstrated that additional freight performance measures could be developed, especially for the use of the weight data to track corridor production and consumption.

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