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Title: Determining Network-wide Link Flows through Strategic Sensor Deployment without Path Enumeration
Accession Number: 01371022
Record Type: Component
Abstract: Sensors are becoming increasingly critical elements in contemporary transportation systems, gathering essential (real-time) traffic information for the planning, management and control of these complex systems. In a recent paper, Hu, Peeta and Chu introduced the interesting problem of determining the smallest subset of links in a traffic network for counting sensor installation, in such a way that it becomes possible to infer the flows on all remaining links. The problem is particularly elegant because of its limited number of assumptions. Unfortunately, path enumeration was required, which – as recognized by the authors – is infeasible for large-scale networks without further simplifying assumptions (that would destroy the assumption-free nature of the problem). In this paper, the authors present a reformulation of this link observability problem, requiring only node enumeration. Using this node-based approach, the authors prove a conjecture made by Hu, Peeta and Chu by deriving an explicit relationship between the number of nodes and links in a transportation network, and the minimum number of sensors to install in order to be able to infer all link flows. In addition, the authors demonstrate how the proposed method can be employed for road networks that already have sensors installed on them. Numerical examples are presented throughout.
Supplemental Notes: This paper was sponsored by TRB committee ADB30 Transportation Network Modeling
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-1231
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Ng, ManWoPagination: 9p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-1231
Files: TRIS, TRB
Created Date: Feb 8 2012 5:00PM
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