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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 Accession #:

01362476

Report/Paper Numbers:

12-1231

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Ng, ManWo

Pagination:

9p

Publication Date:

2012

Conference:

Transportation Research Board 91st Annual Meeting

Location: Washington DC, United States
Date: 2012-1-22 to 2012-1-26
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

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