Abstract: A common travel analysis technique is to ascribe capacities to links in a planning network based on functional classification
or facility type, under which a four-lane divided arterial, for example, would be assigned the same capacity everywhere, irrespective of the
surrounding land use, the presence of traffic signals, and whether turning lanes are provided or not. While this practice has been used for
many years and is typically adequate for the analysis of large road networks, there are penalties ~in terms of lost accuracy! that accompany
its use. The objective of this research was to evaluate different techniques to determine what information was necessary to reasonably
estimate link capacity while decreasing the time, effort, and cost of data collection. It was found that assigning capacities on a link-specific
basis produced significant differences when compared to the practice of assigning average capacities, suggesting that travel demand
modeling could be improved by using link-by-link estimates of capacity. The results of this study also supported the concept that
improvements gained by using all Highway Capacity Manual adjustment factors were marginal compared to the improvement achieved by
including only the g/C ratio and number of lanes; suggesting further that ignoring other factors like lane widths, heavy vehicles, turning
movements, etc. will still result in reasonably accurate estimates of volume, travel time, and travel speed.
