Bayesian data assimilation for the improved modeling of road traffic

This thesis deals with the optimal use of existing models that predict certain phenomena of the road traffic system. Such models are extensively used in advanced traffic information systems (ATIS), dynamic traffic management (DTM) or model predictive control (MPC) approaches in order to improve the traffic system. As road traffic is the result of human behavior which is ever changing and which varies internationally, for each of these phenomena a multitude of models exist. The scientific literature generally is not conclusive about which of these models should be preferred. One common problem in road traffic science is therefore that for each application a choice has to be made from a set of available models. A second task that always needs to be performed is the calibration of the parameters of the models. A third and last task is the application of the chosen and calibrated model(s) to predict a part of the traffic system. The Bayesian framework for data assimilation is applied to three different phenomena: 1. car-following modeling; 2. travel time prediction and 3. traffic state estimation using a first order traffic flow model (the LWR model) and an extended Kalman filter (EKF). Finally, a part of the research is devoted to speeding up the EKF such that it can be applied together with the LWR model in real time to large networks.

• Record URL:
  http://repository.tudelft.nl/view/ir/uuid:1d7e9880-9f29-4d37-a815-46e5e2f50275/
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9789055841325
• Authors:
  • Van Hinsbergen, C P
• Publication Date: 2010-11

Language

• English

Media Info

• Pagination: 174p

Subject/Index Terms

• TRT Terms: Advanced traffic management systems; Advanced traffic management systems; Advanced traveler information systems; Advanced traveler information systems; Car following; Mathematical models; Traffic flow; Travel time
• ATRI Terms: Advanced traffic management systems (ATMS); Advanced traveler information systems (ATIS); Car following; Modelling; Traffic flow; Travel time
• ITRD Terms: 8735: Intelligent transport system
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 01380572
• Record Type: Publication
• Source Agency: ARRB
• ISBN: 9789055841325
• Report/Paper Numbers: T2010/9
• Files: ATRI
• Created Date: Aug 22 2012 10:58AM