Freeway traffic safety state classification method based on multi-parameter fusion clustering
Authors:
- 14 June 2022
- journal article
- research article
- Published by World Scientific Pub Co Pte Ltd in Modern Physics Letters B
- Vol. 36 (20)
Abstract
No abstract availableKeywords
Funding Information
- Key Technology Research and Development Program of Shandong Province (2017YFC0803900)
- Postdoctoral Research Foundation of China (2021M700333)
- Key Laboratory of Highway Construction and Maintenance Technology in the Loess Region of Shanxi Transportation Research Institute (SH202105)
This publication has 31 references indexed in Scilit:
- Bayesian Updating Approach for Real-Time Safety Evaluation with Automatic Vehicle Identification DataTransportation Research Record: Journal of the Transportation Research Board, 2012
- Assessment of Interaction of Crash Occurrence, Mountainous Freeway Geometry, Real-Time Weather, and Traffic DataTransportation Research Record: Journal of the Transportation Research Board, 2012
- Compositional Control of Higher Order Assembly Using Synthetic Collagen PeptidesJournal of the American Chemical Society, 2011
- Calibrating a Real-Time Traffic Crash-Prediction Model Using Archived Weather and ITS Traffic DataIEEE Transactions on Intelligent Transportation Systems, 2006
- Predicting Freeway Crashes from Loop Detector Data by Matched Case-Control Logistic RegressionTransportation Research Record: Journal of the Transportation Research Board, 2004
- Proactive freeway crash prevention using real-time traffic controlCanadian Journal of Civil Engineering, 2003
- Data clusteringACM Computing Surveys, 1999
- Experimental Features of Self-Organization in Traffic FlowPhysical Review Letters, 1998
- Traditional epidemiology, modern epidemiology, and public health.American Journal of Public Health, 1996
- An analysis of truck-involved freeway accidents using log-linear modelingJournal of Safety Research, 1987