Speed prediction from mobile sensors using cellular phone‐based traffic data-Reference-Cited by-同舟云学术

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Speed prediction from mobile sensors using cellular phone‐based traffic data

Published:2017-05-30 Issue:7 Volume:11 Page:387-396
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Basyoni Yarah¹^ORCID,Abbas Hazem M.²,Talaat Hoda³,El Dimeery Ibrahim¹

Affiliation:

1. Civil Engineering ProgramGerman University in CairoNew CairoEgypt

2. Computer and Systems Engineering Department, Faculty of EngineeringAin Shams UniversityCairoEgypt

3. Civil Engineering Department, Faculty of EngineeringCairo UniversityGizaEgypt

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2016.0279

Reference27 articles.

1. An Approach to Urban Traffic State Estimation by Fusing Multisource Information

2. A Bi‐level traffic data extraction procedure via cellular phone network for inter‐city travel;Basyoni Y.;J. Intell. Transp. Syst. Technol. Planning Oper.,2015

3. Freeway Multisensor Data Fusion Approach Integrating Data from Cellphone Probes and Fixed Sensors

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2. Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering;IEEE Internet of Things Journal;2020-08

3. Estimating surface heat and water vapor fluxes by combining two-source energy balance model and back-propagation neural network;Science of The Total Environment;2020-08

4. Novel MA-VFBC Based Deployment of Obstacle-Avoiding Scattered Sensors for Region-of-Interest Incidence Monitoring;IEEE Access;2020

5. Feature selection and extraction in spatiotemporal traffic forecasting: a systematic literature review;European Transport Research Review;2019-01-24

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