Results 11 to 20 of about 871,008 (258)

Boundary Guidance Strategy and Method for Urban Traffic Congestion Region Management in Internet of Vehicles Environment

Journal of Advanced Transportation, 2023
Accelerated urbanization has increased regional traffic congestion. To alleviate traffic congestion in a homogeneous road network, combined with the advantage of real-time traffic information obtained by the Internet of Vehicles (IoVs), a boundary ...
Chuanxiang Ren, Zhen Wang, Changchang Yin, Hui Xu, Li Wang, Luyao Guo, Juntao Li   +6 more
doaj   +1 more source

Minimization Traffic Congestion with Smart Traffic Light by Using Fuzzy Logic

Journal of Computing Research and Innovation, 2023
Traffic congestion has become a pervasive problem in the world including Malaysia for the past few years while present indication shows that it is expected to get worse.
Sharifah Fhahriyah Syed Abas, Nur Qurratu’ Aini Jefrydin   +1 more
doaj   +1 more source

Predicting Traffic Flow Propagation Based on Congestion at Neighbouring Roads Using Hidden Markov Model

IEEE Access, 2021
Nowadays traffic congestion has become significantly worse. Not only has it led to economic losses, but also to environmental damages, wastage of time and energy, human stress and pollution.
Bagus Priambodo, Azlina Ahmad, Rabiah Abdul Kadir   +2 more
doaj   +1 more source

Evolution Regularity Mining and Gating Control Method of Urban Recurrent Traffic Congestion: A Literature Review

Journal of Advanced Transportation, 2020
To understand the status quo of urban recurrent traffic congestion, the current results of recurrent traffic congestion, and gating control are reviewed from three aspects: traffic congestion identification, evolution trend prediction, and urban road ...
Changxi Ma, Jibiao Zhou, Xuecai (Daniel) Xu, Jin Xu   +3 more
doaj   +1 more source

Representation of Traffic Congestion Data for Urban Road Traffic Networks Based on Pooling Operations

Algorithms, 2020
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,
Sen Zhang, Shaobo Li, Xiang Li, Yong Yao
doaj   +1 more source

Adaptive network traffic management for multi user virtual environments [PDF]

, 2012
Multi User Virtual Environments (MUVE) are a new class of Internet application with a significant user base. This thesis adds to our understanding of how MUVE network traffic fits into the mix of Internet traffic, and how this relates to the application'
Oliver, Iain Angus
core   +2 more sources

Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm

Complexity, 2017
Traffic congestion is a common problem in many countries, especially in big cities. At present, China’s urban road traffic accidents occur frequently, the occurrence frequency is high, the accident causes traffic congestion, and accidents cause traffic ...
Li Wang, Shimin Lin, Jingfeng Yang, Nanfeng Zhang, Ji Yang, Yong Li, Handong Zhou, Feng Yang, Zhifu Li   +8 more
doaj   +1 more source

Evaluation of Main Traffic Congestion Degree for Restricted Waters with AIS Reports [PDF]

TransNav, 2010
Traditionally, marine traffic congestion degree in restricted waters is usually deduced from traffic volume or traffic density. Both of which, however, can not be easily and accurately determined and can not fully reflect the traffic congestion degree ...
Qinyou Hu, Jiajia Yong, Chaojian Shi, Guowei Chen   +3 more
doaj  

MF-TCPV: A Machine Learning and Fuzzy Comprehensive Evaluation-Based Framework for Traffic Congestion Prediction and Visualization

IEEE Access, 2020
A framework for traffic congestion prediction and visualization based on machine learning and Fuzzy Comprehensive Evaluation named MF-TCPV is proposed in this paper.
Leixiao Li, Hao Lin, Jianxiong Wan, Zhiqiang Ma, Hui Wang   +4 more
doaj   +1 more source

Measuring Traffic Congestion with Novel Metrics: A Case Study of Six U.S. Metropolitan Areas

ISPRS International Journal of Geo-Information, 2023
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
Jeong Seong, Yunsik Kim, Hyewon Goh, Hyunmin Kim, Ana Stanescu   +4 more
doaj   +1 more source