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Classic Meets Modern: a Pragmatic Learning-Based Congestion Control for the Internet

Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2020
These days, taking the revolutionary approach of using clean-slate learning-based designs to completely replace the classic congestion control schemes for the Internet is gaining popularity.
Soheil Abbasloo, Chen-Yu Yen, H. J. Chao
semanticscholar   +1 more source

A deep learning approach for port congestion estimation and prediction

Maritime Policy & Management, 2022
This study proposes high-frequency container port congestion measures based on Automatic Identification System (AIS) data. Vessel movement information of 3,957 container ships from March 2017 to April 2017 is included.
Wenhao Peng   +4 more
semanticscholar   +1 more source

Traffic congestion and its urban scale factors: Empirical evidence from American urban areas

International Journal of Sustainable Transportation, 2021
This study empirically investigates the causes of urban traffic congestion to bring into focus the variety of beliefs that provide support for policy interventions to mitigate traffic congestion in USt cities.
Md. Mokhlesur Rahman   +3 more
semanticscholar   +1 more source

QUIC Loss Detection and Congestion Control

Request for Comments, 2020
This document describes loss detection and congestion control mechanisms for QUIC.
J. Iyengar, Ian Swett
semanticscholar   +1 more source

Influence of traffic congestion on driver behavior in post-congestion driving.

Accident Analysis and Prevention, 2020
Traffic congestion is more likely to lead to aggressive driving behavior that is associated with increased crash risks. Previous studies mainly focus on driving behavior during congestion when studying congestion effects. However, the negative effects of
Guofa Li   +6 more
semanticscholar   +1 more source

Time-dependent vehicle routing problem with time windows of city logistics with a congestion avoidance approach

Knowledge-Based Systems, 2020
The time-dependent vehicle routing problem with time windows (TDVRPTW) is examined in this study. A mathematical model for the TDVRPTW is formulated by considering the time-dependent vehicle speeds, capacity, travel time, wait time, customer demand ...
Changshi Liu   +5 more
semanticscholar   +1 more source

QTCP: Adaptive Congestion Control with Reinforcement Learning

IEEE Transactions on Network Science and Engineering, 2019
Next generation network access technologies and Internet applications have increased the challenge of providing satisfactory quality of experience for users with traditional congestion control protocols.
Wei Li   +3 more
semanticscholar   +1 more source

Geographical patterns of traffic congestion in growing megacities: Big data analytics from Beijing

Cities, 2019
Traffic congestion is one of the key issues relating to sustainability and livability in many large cities. In particular, the situation in the growing megacities of developing countries has been worsening and is now attracting considerable attention ...
P. Zhao, Haoyu Hu
semanticscholar   +1 more source

Dynamical model of traffic congestion and numerical simulation.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 1995
M. Bandō   +4 more
semanticscholar   +1 more source

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