Title
Density And Flow Reconstruction In Urban Traffic Networks Using Heterogeneous Data Sources
Abstract
In this paper, we consider the problem of joint reconstruction of flow and density in a urban traffic network using heterogeneous sources of information. The traffic network is modeled within the framework of macroscopic traffic models, where we adopt Lighthill-Whitham-Richards model (LWR) conservation equation characterized by a piecewise linear fundamental diagram. The estimation problem considers two key principles. First, the error minimization between the measured and reconstructed flows and densities, and second the equilibrium state of the network which establishes flow propagation within the network. Both principles are integrated together with the traffic model constraints established by the supply/demand paradigm. Finally the problem is casted as a constrained quadratic optimization with equality constraints in order to shrink the feasible region of estimated variables. Some simulation scenarios based on synthetic data for a manhattan grid network are provided in order to validate the performance of the proposed algorithm.
Year
DOI
Venue
2018
10.23919/ECC.2018.8550267
2018 EUROPEAN CONTROL CONFERENCE (ECC)
Field
DocType
Citations 
Mathematical optimization,Computer science,Grid network,Flow (psychology),Diagram,Feasible region,Synthetic data,Minification,Quadratic programming,Piecewise linear function
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Andres Ladino100.34
Carlos Canudas-de-Wit259279.73
Alain Y. Kibangou39512.01
Hassen Fourati4357.36
Martin Rodriguez500.34