Inferring accurate bus trajectories from noisy estimated arrival time records
Urban commuting data has long been a vital source of understanding population mobility behaviour and has been widely adopted for various applications such as transport infrastructure planning and urban anomaly detection. While individual-specific transaction records (such as smart card (tap-in, tap-...
Saved in:
Main Authors: | MEEGAHAPOLA, Lakmal, ATHAIDE, Noel, JAYARAJAH, Kasthuri, XIANG, Shili, MISRA, Archan |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4822 https://ink.library.smu.edu.sg/context/sis_research/article/5825/viewcontent/itsc19_bustraj.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Buscope: Fusing individual & aggregated mobility behavior for" live" smart city services
by: MEEGAHAPOLA, Lakmal, et al.
Published: (2019) -
BuSCOPE: Fusing individual & aggregated mobility behavior for “Live” smart city services
by: MEEGAHAPOLA, Lakmal Buddika, et al.
Published: (2019) -
Analysis of bus arrival information at bus stops
by: Chng, Hoong Keong.
Published: (2009) -
Can multimodal sensing detect and localize transient events?
by: JAYARAJAH, Kasthuri, et al.
Published: (2018) -
A methodological framework for benchmarking smart transport cities
by: Debnath, A.K., et al.
Published: (2014)