Clustering, visualizing, and explaining activity-trip sequences via weighted sequence alignment and functional data analysis

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

Abstract

Contribution: [30% design, 40% implementation, 80% writing]

Original language	English (US)
Journal	Transportation Research Part C
State	Accepted/In press - 2020

@article{651e2dabdd604bf586cecca8f53a5565,

title = "Clustering, visualizing, and explaining activity-trip sequences via weighted sequence alignment and functional data analysis",

abstract = "Contribution: [30\% design, 40\% implementation, 80\% writing] ",

author = "Ying Song and S Ren and J Wolfson and Y Zhang and R Brown and Y Fan",

year = "2020",

language = "English (US)",

journal = "Transportation Research Part C",

}

TY - JOUR

T1 - Clustering, visualizing, and explaining activity-trip sequences via weighted sequence alignment and functional data analysis

AU - Song, Ying

AU - Ren, S

AU - Wolfson, J

AU - Zhang, Y

AU - Brown, R

AU - Fan, Y

PY - 2020

Y1 - 2020

N2 - Contribution: [30% design, 40% implementation, 80% writing]

AB - Contribution: [30% design, 40% implementation, 80% writing]

M3 - Article

JO - Transportation Research Part C

JF - Transportation Research Part C

ER -