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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 24, 2020 - Issue 6: Traffic and Granular Flow
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Original Articles

Prediction of moving bottleneck through the use of probe vehicles: a simulation approach in the framework of three-phase traffic theory

Dominik WegerlePhysics of Transport and Traffic, University of Duisburg-Essen, Duisburg, Germany; Correspondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7442-1324
ORCID Icon,
Boris S. KernerPhysics of Transport and Traffic, University of Duisburg-Essen, Duisburg, Germany;
,
Michael SchreckenbergPhysics of Transport and Traffic, University of Duisburg-Essen, Duisburg, Germany;
&
Sergej L. KlenovDepartment of Physics, Moscow Institute of Physics and Technology, Dulgoprudny, Moscow Region, Russia
Pages 598-616 | Received 16 Aug 2018, Accepted 28 Jul 2019, Published online: 13 Sep 2019

Citations (11)

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Read on this site (3)

Seiran Heshami & Lina Kattan. (2023) A stochastic microscopic based freeway traffic state and spatial-temporal pattern prediction in a connected vehicle environment. Journal of Intelligent Transportation Systems 0:0, pages 1-27.
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Yanyan Chen, Cong Chen, Qiong Wu, Jianming Ma, Guohui Zhang & John Milton. (2021) Spatial-temporal traffic congestion identification and correlation extraction using floating car data. Journal of Intelligent Transportation Systems 25:3, pages 263-280.
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Samer Hamdar, Alireza Talebpour & Robert Bertini. (2020) Traffic and granular flow: the role of data and technology in the understanding of particle dynamics . Journal of Intelligent Transportation Systems 24:6, pages 535-538.
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Articles from other publishers (8)

Yasmine Amor, Lilia Rejeb, Nabil Sahli, Wassim Trojet, Ghaleb Hoblos & Lamjed Ben Said. 2023. Smart Transportation Systems 2023. Smart Transportation Systems 2023 229 239 .
Vincent Wiering, Sergey L. Klenov, Boris S. Kerner & Michael Schreckenberg. (2022) Statistical physics of the development of Kerner's synchronized-to-free-flow instability at a moving bottleneck in vehicular traffic. Physical Review E 106:5.
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Chubo Xu, Jianxiao Ma & Xiang Tang. (2022) A Simulation-Based Study of the Influence of Low-Speed Vehicles on Expressway Traffic Safety. Sustainability 14:19, pages 12165.
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Leo Tišljarić, Filip Vrbanić, Edouard Ivanjko & Tonči Carić. (2022) Motorway Bottleneck Probability Estimation in Connected Vehicles Environment Using Speed Transition Matrices. Sensors 22:7, pages 2807.
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Haiqiang Yang, Xinming Zhang, Zihan Li & Jianxun Cui. (2022) Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data. Remote Sensing 14:2, pages 303.
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Jinghui Wang, Wei Lv, Yajuan Jiang, Shuangshuang Qin & Jiawei Li. (2021) A multi-agent based cellular automata model for intersection traffic control simulation. Physica A: Statistical Mechanics and its Applications 584, pages 126356.
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Boris S. KernerBoris S. Kerner. 2021. Understanding Real Traffic. Understanding Real Traffic 27 37 .
Yuanyi Chen, Pengquan Yan, Zengwei Zheng & Dan Chen. 2021. Security, Privacy, and Anonymity in Computation, Communication, and Storage. Security, Privacy, and Anonymity in Computation, Communication, and Storage 372 383 .

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