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Jeong Seong, Yunsik Kim, Hyewon Goh, Hyunmin Kim and Ana Stanescu
Quantifying traffic congestion is a critical task for transportation planning and research. Numerous metrics have been developed, mainly focusing on changes in vehicle speeds, their extents, and travel time. In this study, new metrics are presented using...
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Shiva Raj Pokhrel, Jonathan Kua, Deol Satish, Sebnem Ozer, Jeff Howe and Anwar Walid
We introduce a novel multipath data transport approach at the transport layer referred to as ?Deep Deterministic Policy Gradient for Multipath Performance-oriented Congestion Control? (DDPG-MPCC), which leverages deep reinforcement learning to enhance co...
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Nyothiri Aung, Weidong Zhang, Sahraoui Dhelim and Yibo Ai
Alleviating traffic congestion is one of the main challenges for the Internet of Vehicles (IoV) in smart cities. Many congestion pricing systems have been proposed recently. However, most of them focus on punishing the vehicles that use certain roads dur...
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Pedro Perez-Murueta, Alfonso Gómez-Espinosa, Cesar Cardenas and Miguel Gonzalez-Mendoza, Jr.
Delays in transportation due to congestion generated by public and private transportation are common in many urban areas of the world. To make transportation systems more efficient, intelligent transportation systems (ITS) are currently being developed. ...
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Sarfraz Ahmad and Muhammad Junaid Arshad
The purpose of this study is to enhance the performance of Multistream Fast Transmission Control Protocol (TCP) keeping in view the recent web-based applications that are being deployed on long-range, high-speed, and high-bandwidth networks. To achieve t...
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Yaqin Song, Hong Ni and Xiaoyong Zhu
As an emerging network architecture, Information-Centric Networking (ICN) is considered to have the potential to meet the new requirements of the Fifth Generation (5G) networks. ICN uses a name decoupled from location to identify content, supports the in...
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Kaisheng Zhang, Daniel (Jian) Sun, Suwan Shen, Yi Zhu
With the development of in-vehicle data collection devices, GPS trajectory has become a priority source to identify traffic congestion and understand the operational states of road network in recent years. This study aims to investigate the relationship...
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Sen Zhang, Shaobo Li, Xiang Li and Yong Yao
In order to improve the efficiency of transportation networks, it is critical to forecast traffic congestion. Large-scale traffic congestion data have become available and accessible, yet they need to be properly represented in order to avoid overfitting...
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Yangyang Qi and Zesheng Cheng
In recent years, the rapid economic development of China, the increase of the urban population, the continuous growth of private car ownership, the uneven distribution of traffic flow, and the local congestion of the road network have caused traffic cong...
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Yingjie Duan, Hong Ni, Xiaoyong Zhu and Xu Wang
Information-centric networking (ICN) is expected to be a candidate for future internet architecture, and it supports features such as multicast that improves bandwidth utilization and transmission efficiency. However, multicast itself does not provide co...
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Tetiana Lebedenko
Pág. 54 - 61
The subject matter of the article is the method of scheduling and active queues management on routers interfaces of telecommunication networks. The goal of the work is to develop and improve the method related to the optimization of queues management pro...
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Yu-Chiun Chiou, Chiang Fu
Pág. 2957 - 2969
To effectively mitigate traffic congestion, many densely populated and well-developed cities worldwide decided to charge in-town traffic a congestion fee and the effectiveness of the congestion charge policy has been proven. However, a successful congest...
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Jian Xing, Jun Tanaka
Pág. 187 - 197
Introduction & Objectives Traffic congestion has been an important social issue in all over the world. It will result in great economic loss due to time delay and environment deterioration. In Japan, traffic congestion on intercity expressways on weekend...
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Husam H. Hasan and Zainab T. Alisa
The Internet of Things (IoT) connects devices via the Internet. Network congestion is one of the key problems that has been identified by researchers in the IoT field. When there is a huge number of IoT devices connected to the internet, this creates net...
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Dongping Gui, Haiyan Wang and Meng Yu
With the COVID-19 outbreak hitting the world, the frequency and severity of port congestion caused by various factors are increasing, challenging the stability of international supply chains. Thus, it is necessary to conduct an in-depth study on congesti...
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Li-yong Zheng, Yun-tao Chang
Pág. 1544 - 1555
To alleviate the traffic congestion of urban expressways, much previous studies has focused on the analysis of basic traffic parameters, while in reality, congestion is a random event and drivers pay more attentions to the probability of congestion occur...
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Mohammadreza Saeedmanesh, Nikolas Geroliminis
Pág. 962 - 979
The problem of clustering in urban traffic networks has been mainly studied in static framework by considering traffic conditions at a given time. Nevertheless, it is important to underline that traffic is a strongly time-variant process and it needs to ...
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Gary Reyes, Roberto Tolozano-Benites, Laura Lanzarini, César Estrebou, Aurelio F. Bariviera and Julio Barzola-Monteses
Persistently, urban regions grapple with the ongoing challenge of vehicular traffic, a predicament fueled by the incessant expansion of the population and the rise in the number of vehicles on the roads. The recurring challenge of vehicular congestion ca...
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Dong Jiang, Wenji Zhao, Yanhui Wang and Biyu Wan
Traffic congestion is a globally widespread problem that causes significant economic losses, delays, and environmental impacts. Monitoring traffic conditions and analyzing congestion factors are the first, challenging steps in optimizing traffic congesti...
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