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...

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Bibliographic Details
Main Authors: He, Peilan, Jiang, Guiyuan, Lam, Siew-Kei, Sun, Yidan
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/154492