With the rapid economic development around the world, a number of four-lane or six-lane freeways were widened to satisfy the increasing traffic demand. The primary objective of this study is to develop a safety assessment model for multilane freeways using high-resolution traffic flow data collected from loop detectors. Data were collected from the I-880 freeway in the state of California, United States. A binary logit model was used to develop the relationship between crash likelihood and real-time traffic flow variables. The model estimation results indicate that the real-time traffic flow variables significantly affect crash risks on multilane freeways. Model evaluation results show that the model has the potential to be used for safety assessments of multilane freeways. The overall prediction accuracy of the model is 65.6%, indicating a good prediction performance for evaluating the safety performance of multilane freeways.
Safety Assessment Model for Multilane Freeways using Loop Detector Traffic Flow Data
15th COTA International Conference of Transportation Professionals ; 2015 ; Beijing, China
CICTP 2015 ; 3135-3142
2015-07-13
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Lane Management Techniques for Multilane Freeways
ASCE | 2011
|Safety Impact of Truck Lane Restrictions on Multilane Freeways
Transportation Research Record | 2009
|Safety Impact of Truck Lane Restrictions on Multilane Freeways
Online Contents | 2009
|Speed-flow relationships for freeways, multilane highways and urban streets
British Library Conference Proceedings | 2005
|Capacity Drops at Merges: Analytical Expressions for Multilane Freeways
Transportation Research Record | 2016
|