Traffic Estimation and Prediction via Online Variational Bayesian Subspace Filtering

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2020.3048959 ◽

2021 ◽

pp. 1-11

Author(s):

Charul Paliwal ◽

Uttkarsha Bhatt ◽

Pravesh Biyani ◽

Ketan Rajawat

Keyword(s):

Variational Bayesian ◽

Estimation And Prediction ◽

Traffic Estimation

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Number and Location of Sensors for Real-Time Network Traffic Estimation and Prediction

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198106196400128 ◽

2006 ◽

Vol 1964 (1) ◽

pp. 253-259 ◽

Author(s):

Stacy M. Eisenman ◽

Xiang Fei ◽

Xuesong Zhou ◽

Hani S. Mahmassani

Keyword(s):

Real Time ◽

Network Traffic ◽

Estimation And Prediction ◽

Traffic Estimation

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Estimation and prediction of noise power based on variational Bayesian and adaptive ARMA time series

10.1117/12.2064180 ◽

2014 ◽

Author(s):

Jingyi Zhang ◽

Yonggui Li ◽

Yonggang Zhu ◽

Binwu Li

Keyword(s):

Time Series ◽

Noise Power ◽

Variational Bayesian ◽

Estimation And Prediction

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Online implementation of DynaMIT: A prototype traffic estimation and prediction program

KSCE Journal of Civil Engineering ◽

10.1007/s12205-008-0129-6 ◽

2008 ◽

Vol 12 (2) ◽

pp. 129-140 ◽

Author(s):

Byungkyu Park ◽

Joyoung Lee ◽

Devi M. Pampati ◽

Brian L. Smith

Keyword(s):

Prediction Program ◽

Estimation And Prediction ◽

Online Implementation ◽

Traffic Estimation

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Improving traffic estimation and prediction through dynamic traffic assignment development

IEEE International Conference on Networking, Sensing and Control, 2004 ◽

10.1109/icnsc.2004.1297137 ◽

2004 ◽

Author(s):

Edmond Chin-Ping Chang

Keyword(s):

Traffic Assignment ◽

Dynamic Traffic Assignment ◽

Dynamic Traffic ◽

Estimation And Prediction ◽

Traffic Estimation

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An efficient non-linear Kalman filtering algorithm using simultaneous perturbation and applications in traffic estimation and prediction

2007 IEEE Intelligent Transportation Systems Conference ◽

10.1109/itsc.2007.4357813 ◽

2007 ◽

Author(s):

Constantinos Antoniou ◽

Haris N. Koutsopoulos ◽

George Yannis

Keyword(s):

Kalman Filtering ◽

Filtering Algorithm ◽

Estimation And Prediction ◽

Kalman Filtering Algorithm ◽

Traffic Estimation

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Transportation System Intelligence: Performance Measurement and Real-Time Traffic Estimation and Prediction in a Day-to-Day Learning Framework

Systems and Control: Foundations & Applications - Advances in Control, Communication Networks, and Transportation Systems ◽

10.1007/0-8176-4409-1_16 ◽

2006 ◽

pp. 305-328 ◽

Author(s):

Hani S. Mahmassani ◽

Xuesong Zhou

Keyword(s):

Performance Measurement ◽

Real Time ◽

Transportation System ◽

Learning Framework ◽

Estimation And Prediction ◽

Real Time Traffic ◽

Traffic Estimation ◽

System Intelligence

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Implementation of CLAIRE, traffic estimation and prediction system, and adaptive traffic control in the US

Eleventh International Conference on Road Transport Information and Control ◽

10.1049/cp:20020212 ◽

2002 ◽

Author(s):

R.S. Ghaman

Keyword(s):

Traffic Control ◽

Prediction System ◽

Estimation And Prediction ◽

The Us ◽

Traffic Estimation ◽

Adaptive Traffic Control

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Adaptive Calibration of Dynamic Speed-Density Relations for Online Network Traffic Estimation and Prediction Applications

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1876-09 ◽

2004 ◽

Vol 1876 (1) ◽

pp. 82-89 ◽

Author(s):

Xiao Qin ◽

Hani S. Mahmassani

Keyword(s):

Network Traffic ◽

Estimation And Prediction ◽

Adaptive Calibration ◽

Traffic Estimation

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Traffic Estimation And Prediction Based On Real Time Floating Car Data

2008 11th International IEEE Conference on Intelligent Transportation Systems ◽

10.1109/itsc.2008.4732534 ◽

2008 ◽

Author(s):

Corrado de Fabritiis ◽

Roberto Ragona ◽

Gaetano Valenti

Keyword(s):

Real Time ◽

Estimation And Prediction ◽

Floating Car Data ◽

Traffic Estimation

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Variational Bayesian Learning Theory

10.1017/9781139879354 ◽

2019 ◽

Author(s):

Shinichi Nakajima ◽

Kazuho Watanabe ◽

Masashi Sugiyama

Keyword(s):

Learning Theory ◽

Bayesian Learning ◽

Variational Bayesian

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