Deriving the Upper Bound of the Number of Sensors Required to Know All Link Flows in a Traffic Network

It is demonstrated that the minimum number of sensors required to know all link flows in a traffic network can be determined only if path information is available. However, not all paths need to be enumerated but, at most, a small subset defining the rank r of the link-path incidence matrix W. If this rank for a reduced subset of paths is already m - n, where m and n are the number of links and noncentroid nodes, respectively, it can be concluded that m - n sensors are sufficient. It is also shown that the formulas providing the dependent link flows in terms of the independent link flows can be obtained by the node-based or path-based approaches with the same results only when r - m- n. Finally, an algorithm to obtain the small subsets of linearly independent path vectors is given. The methods are shown by a a parallel network example and the Ciudad Real and Cuenca networks, for which the savings in link counts with respect to the m - n bound are larger than 16%. The corresponding savings in path enumeration are larger than 80%.

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  • English

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  • Accession Number: 01524760
  • Record Type: Publication
  • Files: TLIB, TRIS
  • Created Date: May 1 2014 4:36PM