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Combined PCA and NB to Predict Traffic Incident Duration Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Research on the Queue Length Prediction Model with Consideration for Stochastic Fluid

Authors : Xiaoqing Zeng, Jifei Zhan, Linxiang Yang, Qipeng Xiong, Yujia Chen

Published in: International Symposium for Intelligent Transportation and Smart City (ITASC) 2017 Proceedings

Publisher: Springer Singapore

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Abstract

Research on queue length model lacks the consideration for stochastic fluid. This paper makes equivalent queue length prediction models from two-fluid theory, considering that traffic flow is composed of road traffic and congested traffic. With the simulation in VISSIM, it proves the equivalent queue length prediction models in paper can quantitatively describe the existence of stochastic traffic fluid in road.

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previous chapter Research on Modern Tram Auxiliary Safety Protection Technology Based on Obstacles Detection
next chapter Research on the Model of Traffic Signal Control and Signal Coordinated Control
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Metadata
Title
Research on the Queue Length Prediction Model with Consideration for Stochastic Fluid
Authors
Xiaoqing Zeng
Jifei Zhan
Linxiang Yang
Qipeng Xiong
Yujia Chen
Copyright Year
2017
Publisher
Springer Singapore
Book
International Symposium for Intelligent Transportation and Smart City (ITASC) 2017 Proceedings

Print ISBN: 978-981-10-3574-6

Electronic ISBN: 978-981-10-3575-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-3575-3_6

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