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The trip distribution model is referred to as the Gravity model because it <br /> distributes trips between zones in manner analogous to Newton's Law of Gravity, <br /> • i.e., the number of trips between any two zones is directly related to the size (in <br /> number of trips) of each and inversely related to the distance between them. The <br /> result of the trip distribution phase is a trip table which includes numbers of <br /> vehicle trips between all 645 zones and stations for each of three internal trip <br /> purposes (Home-based Work, Other Home-Based, and Non-Home-Based) and two external <br /> trip purposes (External-Internal and Through). <br /> The trip assignment model assigns the trips from the gravity model to the street <br /> and highway simulation network, which is comprised of 3000 individual links for <br /> which speed, distance, capacity, and other significant characteristics are <br /> identified. Minimum time paths are calculated for all of over 415,000 possible <br /> combinations of zones and stations. Although a variety of assignment techniques <br /> are possible, the most efficient method loads all zone-to-zone traffic on the <br /> minimum time paths, thereby reflecting where traffic would likely go if congestion <br /> were not a consideration. Automated capacity-restrained assignment techniques, <br /> while more accurate, are very difficult --- requiring all 415,000 time paths to <br /> be recalculated several times, as traffic is diverted from preferred routes to <br /> less-preferred routes. Manual traffic reassignment techniques efficiently address <br /> the shortcomings associated with the model's enormity in those few areas (such as <br /> Chapel Hill/Carrboro's Town Center and near Duke Medical Center) where non- <br /> capacity restrained techniques are problematic, though raw model output must be <br /> adjusted before comparison to actual traffic. <br /> By calibrating the model's synthesized traffic patterns to actual 1985 traffic, <br /> various parameters of the model are adjusted until predictive accuracy is within <br /> plus or minus ten percent. The corresponding land use data for the design years <br /> (2000 and 2010) are then similarly transferred into the model to arrive at <br /> projected travel patterns and volumes on various networks. <br /> Networks tested with 1985, 2000, and 2010 traffic include; the Existing Plus <br /> Committed (E+C, the existing road system plus projects currently programmed for <br /> construction), the currently adopted thoroughfare plans (as fully implemented), and <br /> the adopted plans plus potentially beneficial improvements. The resulting <br /> deficiency analyses of the E+C and Adopted Plan networks were discussed in <br /> Report #1. <br /> In the latter alternative networks, each area of deficiency in the adopted plan <br /> network was analyzed individually to determine what new or improved facility would <br /> reduce or eliminate the anticipated traffic problems. -The alignment for each new <br /> or improved facility was analyzed to determine environmental and social impacts, <br /> physical constraints and costs. Also, the potential impact of demand reduction <br /> strategies such as alternative modes of transportation was considered. <br /> These alternatives are discussed in Chapter 4. <br /> 3.2 <br />