According to Federal Highway Administration (FHWA), traffic incidents account for almost 60% of delay which has notable impacts on mobility and safety on the urban highways. Besides the traffic delay caused by incidents, the occurrence of secondary crashes is a serious problem. The risk of the occurrence of secondary crashes can be six times higher in the presence of a primary crash than a normal traffic condition. Detailed examination of the secondary crashes characteristics and identification of prone locations in an effective manner can largely help the decision makers to select the most appropriate countermeasures, and allocate the appropriate resources to effectively manage the incidents. In this aspect, using Geographic Information System (GIS) is a proper solution to provide both microscopic level and macroscopic level details of the secondary crashes under an efficient way.
The objective of this project is 1) to use GIS as an efficient method to identify secondary crashes under both static criteria and dynamic criteria; 2) to characterize secondary crashes and identify factors associated with high crashes prone locations; and 3) to investigate the contributing factors to secondary crashes and relationships with the primary incidents in patterns, distances, and time manners.
ArcGIS is used to integrate the incidents data with roadway characteristics and link the secondary crashes with the primary incidents under the selected spatial criteria and temporal criteria. The identified crashes will be analyzed to determine characteristics, contributing factors, prone locations and relationships with the primary incidents. The negative binomial (NB) model will be used to quantify the impacts of these factors on the secondary crashes.
- Nadia Correa, BS Civil Engineering Spring 2015
- Yuan Tian, MS Mechanical Engineering Summer 2015
Dr. Hongyun Chen, Assistant Professor of Civil Engineering