Abstract
ABSTRACTThis paper focuses on quantifying energy loss associated with recurring and nonrecurring congestion components and understanding its spatio-temporal variations in a geospatial environment. Data gathered, for the year 2012, for the Mecklenburg County, North Carolina was used to quantify energy loss and derive meaningful interpretations. The method involves calculating average fuel economy based on a surveyed sample of vehicles in the study area and computing link-level delay estimates related to the congestion components. The energy loss is then quantified as a function of delay, length, average speed, fuel economy, and energy dissipated per a gallon of gasoline. Analysis was performed separately for a typical weekday (Tuesday) and a typical weekend day (Saturday), considering two peak hours (8 am–9 am and 5 pm–6 pm) and one off-peak hour (12 pm–1 pm). Voronoi maps were then used to depict energy loss and visualize energy loss in a geospatial environment.
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