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A data driven investigation into heavy-duty truck trips that end in ramp parking events from Altitude and HNTB.
In Expansion Factors 3.0, we are introducing modeled Annual Average Daily Traffic (AADT) values at the road segment level, which is based on FHWA’s Highway Performance Monitoring System (HPMS) data. This new model offers both improved accuracy and coverage of expansion factors.
Understanding how transportation planners can use vehicle vocation information for meaningful analysis.
Analyzing parking behavior of heavy-duty trucks along highway networks in the U.S.
Discover how insights from medium and heavy-duty commercial vehicle data can help plan for fast charging for highways corridors to reduce the future carbon footprint. Further explore how to plan for specific charging demand, electric capacity and site upgrades, to build grid infrastructure.
Learn more about the trips algorithm that constructs flexible and meaningful trips, allowing customers to analyze their vehicle behavior.
