Neural network representations for arterial street incident detection data fusion

This research considers four neural network representations for detecting incidents on signalized arterials using multiple data sources. Two incident detection algorithms process unique data sources separately: inductive loop detectors, and travel times collected from vehicle probes travelling throu...

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Vydané v:	Transportation research. Part C, Emerging technologies Ročník 5; číslo 3; s. 245 - 254
Hlavný autor:	Ivan, John N
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Kidlington Elsevier India Pvt Ltd 1997 Elsevier
Predmet:	Applied sciences arterial streets data fusion Exact sciences and technology Ground, air and sea transportation, marine construction incident detection neural networks Road transportation and traffic surface streets time series data fusion time series surface streets arterial streets incident detection neural networks Performance evaluation Roads and streets Mishap Neural networks Time series Traffic surveys Road traffic Traffic signals Detection Comparative study
ISSN:	0968-090X, 1879-2359
On-line prístup:	Získať plný text
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