Pulugurtha, Srinivas S.

UNCC

There are 3 item/s.

TitleDateViewsBrief Description
Modeling travel demand and crashes at macroscopic and microscopic levels 2012 366 Accurate travel demand / Annual Average Daily Traffic (AADT) and crash predictions helps planners to plan, propose and prioritize infrastructure projects for future improvements. Existing methods are based on demographic characteristics, socio-econom...
Geospatial and statistical methods to model intracity truck crashes 2012 1955 In recent years, there has been a renewed interest in statistical ranking criteria to identify hot spots on road networks. These criteria potentially represent high crash risk zones for further engineering evaluation and safety improvement. Many stud...
Methods to estimate link level travel based on spatial effects 2011 1281 Annual Average Daily Traffic (AADT) is used in several planning, roadway design, operational and safety analyses by transportation planners and engineers. Existing methods are very complex and do not adequately address the modeling needs. Errors and ...