Using traffic flow data to predict bus travel time variability through an enhanced artificial neural network

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Original language	English
Title of host publication	Proceedings of the 12th WCTR World Conference on Transport Research
Editors	Jose Viegas, Rosario Macario
Place of Publication	Lisbon, Portugal
Publisher	World Conference on Transport Research Society (WCTR)
Pages	1 - 14
Number of pages	14
Publication status	Published - 2010
Event	World Conference on Transport Research 2010 - Lisbon, Portugal Duration: 11 Jul 2010 → 15 Jul 2010 Conference number: 12th

Conference	World Conference on Transport Research 2010
Abbreviated title	WCTR 2010
Country/Territory	Portugal
City	Lisbon
Period	11/07/10 → 15/07/10

Cite this

Mazloumi Shomali, Ehsan ; Currie, Graham ; Rose, Geoffrey. / Using traffic flow data to predict bus travel time variability through an enhanced artificial neural network. Proceedings of the 12th WCTR World Conference on Transport Research. editor / Jose Viegas ; Rosario Macario. Lisbon, Portugal : World Conference on Transport Research Society (WCTR), 2010. pp. 1 - 14

@inproceedings{008d2b559dc041aa9516f33cfb98a7a6,

title = "Using traffic flow data to predict bus travel time variability through an enhanced artificial neural network",

author = "{Mazloumi Shomali}, Ehsan and Graham Currie and Geoffrey Rose",

year = "2010",

language = "English",

pages = "1 -- 14",

editor = "Jose Viegas and Rosario Macario",

booktitle = "Proceedings of the 12th WCTR World Conference on Transport Research",

publisher = "World Conference on Transport Research Society (WCTR)",

note = "World Conference on Transport Research 2010, WCTR 2010 ; Conference date: 11-07-2010 Through 15-07-2010",

}

Mazloumi Shomali, E, Currie, G & Rose, G 2010, Using traffic flow data to predict bus travel time variability through an enhanced artificial neural network. in J Viegas & R Macario (eds), Proceedings of the 12th WCTR World Conference on Transport Research. World Conference on Transport Research Society (WCTR), Lisbon, Portugal, pp. 1 - 14, World Conference on Transport Research 2010, Lisbon, Portugal, 11/07/10.

Using traffic flow data to predict bus travel time variability through an enhanced artificial neural network. / Mazloumi Shomali, Ehsan; Currie, Graham ; Rose, Geoffrey.
Proceedings of the 12th WCTR World Conference on Transport Research. ed. / Jose Viegas; Rosario Macario. Lisbon, Portugal: World Conference on Transport Research Society (WCTR), 2010. p. 1 - 14.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Using traffic flow data to predict bus travel time variability through an enhanced artificial neural network

AU - Mazloumi Shomali, Ehsan

AU - Currie, Graham

AU - Rose, Geoffrey

N1 - Conference code: 12th

PY - 2010

Y1 - 2010

UR - http://www.civil.ist.utl.pt/nispt

M3 - Conference Paper

SP - 1

EP - 14

BT - Proceedings of the 12th WCTR World Conference on Transport Research

A2 - Viegas, Jose

A2 - Macario, Rosario

PB - World Conference on Transport Research Society (WCTR)

CY - Lisbon, Portugal

T2 - World Conference on Transport Research 2010

Y2 - 11 July 2010 through 15 July 2010

ER -