01334154

Component

https://doi.org/10.3141/2243-13

http://scholar.google.com...dani&publication_year=2011

With the advent of intelligent transportation systems, transportation networks have a considerable amount of traffic detectors, and large amounts of streaming data are available to manage and plan a multimodal network and provide real-time traffic information to travelers. The related problem of optimally locating sensors on the network to estimate flows has been the object of growing interest in the past few years. Available sensors use various technologies and measure different aspects of traffic flows. This paper classifies sensor location problems in the literature in two categories: the sensor location flow-observability problem and the sensor location flow-estimation problem. This paper reviews the existing contributions for the latter of the two problem types and presents a unifying bilevel optimization framework in which the upper level addresses the location decisions and the lower level addresses the estimation variables. Several directions for future research are discussed.

01362318

11-2624

English

pp 108-116

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309167635

Print

Figures (1) ; References (23) ; Tables (6)

Highway operations; Intelligent transportation systems; Location; Mathematical models; Optimization; Real time information; Sensors; Traffic estimation; Traffic flow; Traveler information and communication systems

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 17 2011 6:13PM

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