An integrated framework to predict bus travel time and its variability using traffic flow data

Ehsan Mazloumi Shomali, Geoffrey Rose, Graham Currie, Majid Sarvi

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

65 Citations (Scopus)

Original language	English
Pages (from-to)	75 - 90
Number of pages	16
Journal	Journal of Intelligent Transportation Systems: technology, planning, and operations
Volume	15
Issue number	2
DOIs	https://doi.org/10.1080/15472450.2011.570109
Publication status	Published - 2011

Access to Document

@article{e50038e0b83b47c6bc4dcede2e0e6398,

title = "An integrated framework to predict bus travel time and its variability using traffic flow data",

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

year = "2011",

doi = "10.1080/15472450.2011.570109",

language = "English",

volume = "15",

pages = "75 -- 90",

journal = "Journal of Intelligent Transportation Systems: technology, planning, and operations",

issn = "1547-2450",

publisher = "Taylor \& Francis",

number = "2",

}

TY - JOUR

T1 - An integrated framework to predict bus travel time and its variability using traffic flow data

AU - Mazloumi Shomali, Ehsan

AU - Rose, Geoffrey

AU - Currie, Graham

AU - Sarvi, Majid

PY - 2011

Y1 - 2011

UR - http://www.tandfonline.com.ezproxy.lib.monash.edu.au/doi/full/10.1080/15472450.2011.570109

U2 - 10.1080/15472450.2011.570109

DO - 10.1080/15472450.2011.570109

M3 - Article

SN - 1547-2450

VL - 15

SP - 75

EP - 90

JO - Journal of Intelligent Transportation Systems: technology, planning, and operations

JF - Journal of Intelligent Transportation Systems: technology, planning, and operations

IS - 2

ER -