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An Improved Traffic Congestion Monitoring SystemBased on Federated Learning
2020
Information
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This study introduces a software-based traffic congestion monitoring system. The transportation system controls the traffic between cities all over the world. ...
Traffic congestion happens not only in cities, but also on highways and other places. The current transportation system is not satisfactory in the area without monitoring. ...
Related Work The studies related to the traffic congestion monitoring system based on remote sensing data and federated learning have two main parts. ...
doi:10.3390/info11070365
fatcat:t7nhlt47fjb2lj7hxs4e324vby
Machine Learning for Broad-Sensed Internet Congestion Control and Avoidance: A Comprehensive Survey
2021
IEEE Access
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First, we provide an overview of the background knowledge of BICC&A and machine learning. ...
Most BICC&A solutions depend on or benefit from the knowledge of network conditions, including traffic status (type and volume), available bandwidth and topology. ...
In [80] , an application was proposed to avoid traffic congestion based on traffic forecasting. ...
doi:10.1109/access.2021.3060287
fatcat:xn65wrfssbgkjosjrofbyunwt4
Intelligent Transportation Systems
2000
Public Works Management & Policy
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Advanced traffic and fleet management systems as well as traveler information and vehicle-based systems can take advantage of information technology advances and private market products to substantially ...
Intelligent transportation systems (ITS) hold great promise for public works professionals seeking to optimize those public investment strategies that deal with traffic congestion and other growth pressures ...
The testbed is based on real-time, computer-assisted traffic management and communication. ...
doi:10.1177/1087724x0051001
fatcat:nscdpopttrforbpf4ktyu5be2a
A Prioritization Based Congestion Control Protocol for Healthcare Monitoring Application in Wireless Sensor Networks
2013
Wireless personal communications
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Given the dynamic nature of patients' health conditions, the proposed system can detect an anomaly in the received vital signs from a patient and hence assign more priority to patients in need. ...
In this paper, we propose a congestion control and service prioritization protocol for real time monitoring of patients' vital signs using wireless biomedical sensor networks. ...
To do so, two different traffic classes were considered. Critical Class and Normal Class. In order to control congestion, a mechanism based on the learning automaton has been placed in the sink. ...
doi:10.1007/s11277-013-1169-x
fatcat:u5noz6no4nh3xig3hur24z2q5a
Regional transportation planning in the US: An examination of changes in technical aspects of the planning process in response to changing goals
2008
Transport Policy
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increased emphasis on public involvement. ...
As a result, plans may implicitly emphasize congestion relief even if they put forth a much broader range of goals. ...
Whether these forecasts are based on the planned improvements to the transportation system or a ''no build'' scenario is not clear. ...
doi:10.1016/j.tranpol.2007.10.006
fatcat:zsdav7k64rf7tnwupn4oza6qsm
The framework of China Urban Transport Database
2011
Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE)
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policies of sustainable transport development and to efficiently monitor effects of these policies. ...
Abstract-Though urban transport data collection is not a new initiative in China, China Urban Transport Database (CUTD) is an integrated database, which supports central and local governments to make appropriate ...
This module can simulate traffic conditions and evaluate traffic conditions; • Traffic congestion monitoring and management. ...
doi:10.1109/tmee.2011.6199220
fatcat:rer5iia72fe6le7moftsdvjuhm
Chaotic assessment of the key performance indicators for a GSM Network congestion in an election period in Nigeria
2020
Nigeria Journal of Pure and Applied Physics
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Keywords: Key performance Indicators (KPIs); Wideband Code Division Multiplexing Access (WCDMA); Global System of Mobile communication (GSM); Base Transceiver Station (BTS); Chaotic Quantifiers ...
This paper investigates the chaos-based assessment of the Key performance Indicators (KPIs) for the Cellular network congestion during and after 2011 People Democratic Party (PDP) presidential primary ...
(by Mobile Station from Base Transceiver System). ...
doi:10.4314/njpap.v9i1.6
fatcat:b33libcy65cxjc2opzbkx3u3s4
Reliable Federated Learning Systems Based on Intelligent Resource Sharing Scheme for Big Data Internet of Things
2021
IEEE Access
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required to be classified based on the ML learning algorithms. ...
, the stability of the communication systems will be significantly improved. ...
doi:10.1109/access.2021.3101871
fatcat:7ph4crpjx5fylbsll56t6ianb4
QoS-aware adaptation for complex event service
2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing - SAC '16
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Figure 1 : 1 Overview of an event service network
Figure 2 : 2 Example of an ESN for traffic monitoring
Figure 2 2 shows a simplified example of federated CESs. ...
before we summarise the outcome and future steps in Section 6. and Congest(C) are detected based on the traffic reports produced by the traffic sensors deployed on the relevant streets, i.e., primitive ...
doi:10.1145/2851613.2851806
dblp:conf/sac/GaoACM16
fatcat:cfsjt6sqm5h5dhm6dcpio33xdi
Federated Intelligence for Active Queue Management in Inter-Domain Congestion
2021
IEEE Access
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The evaluation results show that FIAQM can effectively improve the performance of the inter-domain connections by reducing the congestion on their links while preserving the network data private within ...
To this end, FIAQM uses an artificial neural network, trained in a federated manner, to predict beyond-own-domain congestion and an intelligent AQM parameter tuner. ...
We described in detail the main components of FIAQM: an LSTM trained in a federated fashion to predict the beyondown-domain congestion and an AQM parameter tuner based on the Q-learning algorithm. ...
doi:10.1109/access.2021.3050174
fatcat:reo5ntskljeyzl5q2prty2vfuu
Vehicle to Vehicle (V2V) Communication Protocol: Components, Benefits, Challenges, Safety and Machine Learning Applications
[article]
2021
arXiv
pre-print
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The main objective of vehicle-to-vehicle communication protocol is to create an effective communication system for intelligent transport systems. ...
Vehicle to vehicle communication is a new technology that enables vehicles on roads to communicate with each other to reduce traffic, accidents and ensure the safety of people. ...
Figure 4 shows public key infrastructure for V2X [13] . • Traffic management is improved with this system and it helps to reduce congestion. ...
arXiv:2102.07306v1
fatcat:wtlqd4i6enbwlgs53ttjriocpu
BIG MOBILITY DATA ANALYTICS FOR TRAFFIC MONITORING AND CONTROL
2020
Facta Universitatis Series Automatic Control and Robotics
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Upon detecting a traffic congestion on an intersection, the TrafficSense application leverages the feedback control loop mechanism to provide a traffic adaptation based on the dynamic configuration of ...
In this paper, we propose the traffic monitoring, control and adaptation platform, named TrafficSense, based on Big Mobility Data processing and analytics. ...
They present a novel approach based on the system model characterized by essential input and output parameters and provide a self-adaptation of the navigation system based on an analysis of streaming data ...
doi:10.22190/fuacr2002087s
fatcat:dsud4exf3zedlnh6hea6dcv3lu
Determination of the Severity of Motorcycle and Tricycle Accidents in Nigeria
2020
Advances in Applied Sciences
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The dataset used was gotten from the Federal Road Safety Corps (FRSC) in Lokoja. After the training and testing of the dataset, we achieved an accuracy of 90.5%. ...
Road traffic accidents are a very rampant issue causing injury, loss of lives and property worldwide. ...
It is recommended that the Federal Road Safety Commission should improve on its current state in rural regions of all countries by using an automated road traffic accident prediction model such as the ...
doi:10.11648/j.aas.20200502.14
fatcat:eryeferofbawrn37bsjfofmxyu
Optimizing Traffic Signals in Smart Cities Based on Genetic Algorithm
2022
Computer systems science and engineering
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This study aims to improve an intelligent road traffic management system (IRTMS) derived from the human community-based genetic algorithm (HCBGA) to mitigate traffic signal congestion in Amman, Jordan's ...
This finding demonstrates that the E-IRTMS based on HCBGA and with unfixed timers achieves shorter congestion period in terms of SPI, SRI, and R i compared with IRTMS. ...
The current study improves an intelligent road traffic management system (IRTMS) [15] to reduce the congestion periods of traffic signals in Amman, the capital of Jordan. ...
doi:10.32604/csse.2022.016730
fatcat:napzipm6cvd5xdnewzrrdvhqfu
Business Analytics in Traffic Management System
2015
International Journal of Computer Applications
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In this system traffic data like videos, number of vehicles, type of vehicles, etc. is used to infer patterns of traffic and congestion. Keywords ...
Efficient traffic management systems need to be adopted without which it may lead to a traffic chaos in the upcoming future. ...
A city in Zhejiang has connected more than 100 intelligent monitoring checkpoint systems, over 300 checkpoint electronic police, and more than 500 video monitoring systems to manage traffic effectively ...
doi:10.5120/ijca2015906237
fatcat:uu5n5wb64vainhjyhvpjixnazm
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