Learning heterogeneous traffic patterns for travel time prediction of bus journeys
In this paper, we address the problem of travel time prediction of bus journeys which consist of bus riding times (may involve multiple bus services) and also the waiting times at transfer points. We propose a novel method called Traffic Pattern centric Segment Coalescing Framework (TP-SCF) that rel...
Saved in:
Main Authors: | He, Peilan, Jiang, Guiyuan, Lam, Siew-KeI, Sun, Yidan |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/154492 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
FRAMING GROUP PERCEPTIONS THROUGH UNITY AND JOURNEY
by: CHENG IVY
Published: (2018) -
ETERNAL ‘TRAVAIL’? JOURNEYS AND REFUGEENESS IN SOUTH AND SOUTHEAST ASIA
by: MIRIAM JAEHN
Published: (2022) -
Predicting travel time of bus journeys with alternative bus services
by: He, Peilan, et al.
Published: (2021) -
上下求索:两汉虚幻旅程主题赋作研究 = IMAGINARY JOURNEY IN THE FU (RHAPSODY) OF THE HAN DYNASTY
by: 邹胜男, et al.
Published: (2017) -
Recovery Narratives of Hungering & Healing
by: BITTIANDRA CHAND SOMAIAH
Published: (2010)