ASCE will be sunsetting the Civil Engineering Database (CEDB) in the coming months. We encourage you to start using the ASCE Library to perform content searches. In the ASCE Library, you can save your search results as well as receive email content alerts when new content relevant to your area of interest is published. Try it out today at https://ascelibrary.org.

 

A New Approach for Real-Time Prediction of Traffic Demand-Diversion in Freeway Corridors

by Eil Kwon, Univ of Minnesota, Minneapolis, United States,



Document Type: Proceeding Paper

Part of: Applications of Advanced Technologies in Transportation Engineering

Abstract:

An adaptive method is developed for real-time prediction of demand and diversion of traffic flow at on-ramp areas of freeway corridors. The prediction method explicitly treats the time-variant effects of control on the traffic demand to be predicted by combining behavioral modeling with filtering. In particular, behavioral demand-diversion models and an Extended Kalman Filter are developed, with the filter continuously updating the model parameters with the most recent prediction error.

Subject Headings: Traffic models | Traffic signals | Filters | Traffic flow | Transportation corridors | Kalman filters | Highways and roads

Services: Buy this book/Buy this article

 

Return to search