The Hamilton-Jacobi Partial Differential Equation and the Three Representations of Traffic Flow
By Jorge A. Laval, Ludovic Leclercq. 2013
119 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/77d0a287b5184373f3b8c8b435e4cda8740887df
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Yi Zhou
- Felipe Castrillón
- Alexandre M. Bayen
- Takahiko Kusakabe
- Yasuo Asakura
- Toru Seo
- Jorge A. Laval
- Zuduo Zheng
In Transportation
- Yi Zhou
- Felipe Castrillón
- Alexandre M. Bayen
- Takahiko Kusakabe
- Yasuo Asakura
- Toru Seo
- Jorge A. Laval
- Ludovic Leclercq
Citations in the corpus
- Stochastic Approximations for the Macroscopic Fundamental Diagram of Urban Networks (2015, methodology): “This gives the lattice X-model in Laval and Leclercq (2013): Xt̃,̃n = min { Xt̃−1,̃n + θΔx, Xt̃−1,̃n−1 − Δx } (C.1) To keep the solution exact, θ has to be an integer and Δn = κΔx,Δt = Δx/w.”
- Traffic state estimation on highway: A comprehensive survey (2017, methodology): “A traffic state in a time–space region A was defined by Edie as follows: 3Technically, a set of two variables from among flow or headway, density or spacing, and speed or pace (Laval and Leclercq, 2013) is a sufficient definition for a traffic state, since q = ρv holds.”