A hybrid model of partial least squares and neural network for traffic incident detection

J Lu; S Chen; W Wang; HJ van Zuylen

doi:10.1016/j.eswa.2011.09.158

A hybrid model of partial least squares and neural network for traffic incident detection

J Lu, S Chen, W Wang, HJ van Zuylen

Transport and Planning

Research output: Contribution to journal › Article › Scientific › peer-review

48 Citations (Scopus)

Original language	English
Pages (from-to)	4775-4784
Number of pages	10
Journal	Expert Systems with Applications
Volume	39
Issue number	5
DOIs	https://doi.org/10.1016/j.eswa.2011.09.158
Publication status	Published - 2012

Bibliographical note

2011 online beschikbaar

Keywords

CWTS 0.75 <= JFIS < 2.00

Access to Document

10.1016/j.eswa.2011.09.158

Cite this

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title = "A hybrid model of partial least squares and neural network for traffic incident detection",

keywords = "CWTS 0.75 <= JFIS < 2.00",

author = "J Lu and S Chen and W Wang and {van Zuylen}, HJ",

note = "2011 online beschikbaar",

year = "2012",

doi = "10.1016/j.eswa.2011.09.158",

language = "English",

volume = "39",

pages = "4775--4784",

journal = "Expert Systems with Applications",

issn = "0957-4174",

publisher = "Elsevier",

number = "5",

}

TY - JOUR

T1 - A hybrid model of partial least squares and neural network for traffic incident detection

AU - Lu, J

AU - Chen, S

AU - Wang, W

AU - van Zuylen, HJ

N1 - 2011 online beschikbaar

PY - 2012

Y1 - 2012

KW - CWTS 0.75 <= JFIS < 2.00

U2 - 10.1016/j.eswa.2011.09.158

DO - 10.1016/j.eswa.2011.09.158

M3 - Article

SN - 0957-4174

VL - 39

SP - 4775

EP - 4784

JO - Expert Systems with Applications

JF - Expert Systems with Applications

IS - 5

ER -