A State-of-the-Art Review of the Sensor Location, Flow Observability, Estimation, and Prediction Problems in Traffic Networks
Joint Authors
Castillo, Enrique
Grande, Zacarías
Calviño, Aida
Lo, Hong K.
Szeto, W. Y.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-26, 26 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-29
Country of Publication
Egypt
No. of Pages
26
Main Subjects
Abstract EN
A state-of-the-art review of flow observability, estimation, and prediction problems in traffic networks is performed.
Since mathematical optimization provides a general framework for all of them, an integrated approach is used to perform the analysis of these problems and consider them as different optimization problems whose data, variables, constraints, and objective functions are the main elements that characterize the problems proposed by different authors.
For example, counted, scanned or “a priori” data are the most common data sources; conservation laws, flow nonnegativity, link capacity, flow definition, observation, flow propagation, and specific model requirements form the most common constraints; and least squares, likelihood, possible relative error, mean absolute relative error, and so forth constitute the bases for the objective functions or metrics.
The high number of possible combinations of these elements justifies the existence of a wide collection of methods for analyzing static and dynamic situations.
American Psychological Association (APA)
Castillo, Enrique& Grande, Zacarías& Calviño, Aida& Szeto, W. Y.& Lo, Hong K.. 2015. A State-of-the-Art Review of the Sensor Location, Flow Observability, Estimation, and Prediction Problems in Traffic Networks. Journal of Sensors،Vol. 2015, no. 2015, pp.1-26.
https://search.emarefa.net/detail/BIM-1070218
Modern Language Association (MLA)
Castillo, Enrique…[et al.]. A State-of-the-Art Review of the Sensor Location, Flow Observability, Estimation, and Prediction Problems in Traffic Networks. Journal of Sensors No. 2015 (2015), pp.1-26.
https://search.emarefa.net/detail/BIM-1070218
American Medical Association (AMA)
Castillo, Enrique& Grande, Zacarías& Calviño, Aida& Szeto, W. Y.& Lo, Hong K.. A State-of-the-Art Review of the Sensor Location, Flow Observability, Estimation, and Prediction Problems in Traffic Networks. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-26.
https://search.emarefa.net/detail/BIM-1070218
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070218