RT Journal Article
T1 A state of the art of sensor location, flow observability, estimation, and prediction problems in traffic networks
A1 Castillo, Enrique
A1 Grande, Zacarias
A1 Calviño Martínez, Aída
A1 Szeto, W. Y.
A1 Lo, Hong K.
AB A state-of-the-art review of flow observability, estimation, and prediction problems in traffic networks is performed. Sincemathematical optimization provides a general framework for all of them, an integrated approach is used to perform the analysis ofthese problems and consider them as different optimization problems whose data, variables, constraints, and objective functionsare 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, flowpropagation, and specific model requirements form the most common constraints; and least squares, likelihood, possible relativeerror, mean absolute relative error, and so forth constitute the bases for the objective functions or metrics. The high number ofpossible combinations of these elements justifies the existence of a wide collection of methods for analyzing static and dynamicsituations.
PB Hindawi Publishing Corporation
YR 2015
FD 2015
LK https://hdl.handle.net/20.500.14352/35589
UL https://hdl.handle.net/20.500.14352/35589
LA eng
DS Docta Complutense
RD 6 abr 2025