Reference:
K. Stanková and
B. De Schutter,
"On freeway traffic density estimation for a jump Markov linear model
based on Daganzo's cell transmission model," Proceedings of the
13th International IEEE Conference on Intelligent Transportation
Systems (ITSC 2010), Madeira Island, Portugal, pp. 13-18, Sept.
2010.
Abstract:
This paper deals with problem of the real-time freeway traffic density
estimation/prediction for a jump Markov linear model based on
Daganzo's cell transmission variant of the Lighthill-Whitham-Richards
continuous macroscopic freeway model. To solve the problem we propose
a particle-filtering-based estimation/prediction method. Its
performance is illustrated on case studies involving a four-cell
freeway segment. The case studies suggest that the proposed
methodology can be used for real-time traffic density
estimation/prediction. Possible pitfalls of our approach are also
discussed.