Dynamic road pricing for optimal traffic flow management by using non‐linear model predictive control-Reference-Cited by-同舟云学术

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Dynamic road pricing for optimal traffic flow management by using non‐linear model predictive control

Published:2019-04-02 Issue:7 Volume:13 Page:1139-1147
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Tettamanti Tamás¹^ORCID,Török Árpád²,Varga István¹

Affiliation:

1. Department of Control for Transportation and Vehicle SystemsBudapest University of Technology and EconomicsStoczek J. u. 2.1111BudapestHungary

2. Department of Automotive TechnologiesBudapest University of Technology and EconomicsStoczek J. u.6.1111BudapestHungary

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.2018.5362

Reference32 articles.

1. A comparison of user-optimum versus system-optimum traffic assignment in transportation network design

2. Graphical solution for system optimum dynamic traffic assignment with day-based incentive routing strategies

3. Emergence of cooperative route-choice: A model and experiment of compliance with system-optimal ATIS

4. Link-based system optimum dynamic traffic assignment problems with environmental objectives

5. Line planning with user-optimal route choice

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1. Application of new features based on artificial intelligent robot technology in medium-scale urban design pedigree and intelligent management and control;Intelligent Systems with Applications;2024-06

2. Intelligent control method of main road traffic flow based on multi-sensor information fusion;Cluster Computing;2022-09-25

3. The solution of traffic flow organisation optimisation model based on adaptive genetic algorithm;International Journal of Heavy Vehicle Systems;2022

4. Q-Safe: QoS-Aware Pricing Scheme for Provisioning Safety-as-a-Service;IEEE Transactions on Services Computing;2021

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