While individuals with disabilities constitute a significant portion of the population in the
United States, they are often neglected in pedestrian studies due to lack of available data …

Extreme rainfall causes transient ponding on roads, which increases the risk of vehicle
accidents due to hydroplaning (HP), a phenomenon characterized by reduced friction …

Big data analytics is being used to generate traffic data that may be used by an agency to
supplement its routine data collection. StreetLight InSight® and Streetlytics, produced by …

This project developed several models to obtain accurate estimates of annual average daily
traffic (AADT) at non-coverage locations. The developed models include kriging, regression …

With each year that passes, there is an increase in the number of vehicles on already
congested roadways. For a department of transportation (DOT) to keep up with this …

This research presents a series of projects that contribute to the understanding of how traffic
variability affects the measurement and application of annual average daily traffic (AADT) …

Traditionally, Departments of Transportation (DOTs) use the factor-based model to estimate
Annual Average Daily Traffic (AADT) from short-term traffic counts. The expansion factors …