Large-scale transportation network congestion evolution prediction using deep learning theory

PloS One
Xiaolei MaYinhai Wang

Abstract

Understanding how congestion at one location can cause ripples throughout large-scale transportation network is vital for transportation researchers and practitioners to pinpoint traffic bottlenecks for congestion mitigation. Traditional studies rely on either mathematical equations or simulation techniques to model traffic congestion dynamics. However, most of the approaches have limitations, largely due to unrealistic assumptions and cumbersome parameter calibration process. With the development of Intelligent Transportation Systems (ITS) and Internet of Things (IoT), transportation data become more and more ubiquitous. This triggers a series of data-driven research to investigate transportation phenomena. Among them, deep learning theory is considered one of the most promising techniques to tackle tremendous high-dimensional data. This study attempts to extend deep learning theory into large-scale transportation network analysis. A deep Restricted Boltzmann Machine and Recurrent Neural Network architecture is utilized to model and predict traffic congestion evolution based on Global Positioning System (GPS) data from taxi. A numerical study in Ningbo, China is conducted to validate the effectiveness and efficiency of the pro...Continue Reading

References

Oct 23, 1997·Neural Computation·S Hochreiter, J Schmidhuber
Aug 16, 2002·Neural Computation·Geoffrey E Hinton
Mar 24, 2005·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Liang ZhaoNong Ye
Feb 1, 1965·Proceedings of the National Academy of Sciences of the United States of America·R Bellman
Jul 29, 2006·Science·G E Hinton, R R Salakhutdinov
Dec 12, 2007·BMC Bioinformatics·Michael C SchatzAmitabh Varshney
Jan 1, 1994·IEEE Transactions on Neural Networks·Y BengioP Frasconi
Dec 22, 2012·Scientific Reports·Pu WangMarta C González

❮ Previous
Next ❯

Citations

Feb 18, 2016·Computational Intelligence and Neuroscience·Miquel L AlomarJosep L Rosselló
May 5, 2017·PloS One·Alireza ErmagunDavid Levinson
Dec 16, 2017·Sensors·Jorge Luis Zambrano-MartinezJuan-Carlos Cano
Jun 6, 2020·Briefings in Bioinformatics·Jen-Hao Chen, Yufeng Jane Tseng
Jan 3, 2020·Chaos·Jinyin ChenYi Liu
Dec 23, 2016·PloS One·Krzysztof Cebrat, Maciej Sobczyński
Jul 26, 2019··Renhe JiangZekun Cai
Jul 24, 2017··Lei XuTeodora Sandra Buda

❮ Previous
Next ❯

Software Mentioned

NVIDIA
NVIDIA Compute Unified Device Architecture ( CUDA )
GIS
CUDA
Python Theano

Related Concepts

Related Feeds

Aphasia

Aphasia affects the ability to process language, including formulation and comprehension of language and speech, as well as the ability to read or write. Here is the latest research on aphasia.

Related Papers

Nursing Education Perspectives
Diane J Skiba
Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
M BandoY Sugiyama
TheScientificWorldJournal
Hwa-Young Jeong, Gangman Yi
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
Robin Milner
© 2021 Meta ULC. All rights reserved