Predicting Traffic Congestion: A Queuing Perspective

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Open Journal of Modelling and Simulation

ISSN Print: 2327-4018
ISSN Online: 2327-4026
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"Predicting Traffic Congestion: A Queuing Perspective"
written by Jojo Desmond Lartey,
published by Open Journal of Modelling and Simulation, Vol.2 No.2, 2014

has been cited by the following article(s):

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CrossRef

[1]	Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data
	Remote Sensing, 2022

[2]	A Real-Time Preliminary Analysis of Traffic Congestion on Indian Roads
	2022 9th International …, 2022

[3]	A Study on Application of Stochastic Queuing Models for Control of Congestion and Crowding
	International Journal for Global Academic & …, 2022

[4]	KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY, KUMASI
	2020

[5]	Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting
	2020

[6]	Graphpartitioning-based diffusion convolution recurrent neural network for large-scale traffic forecasting
	arXiv preprint arXiv …, 2019

[7]	Delay Optimization Using Genetic Algorithm at the Road Intersection
	2019

[8]	Novel algorithm for leader election process in virtual traffic light protocol
	International Journal of Information Technology, 2019

[9]	Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting
	2019

[10]	NETWORK TRAFFIC ANALYSIS USING QUEUING MODEL AND REGRESSION
	2019

[11]	Network Traffic Analysis Using Queuing Model and Regression Technique
	2019

[12]	Minimum carbon dioxide emission based selection of traffic route with unsignalised junctions in tandem network
	2018

[13]	A multiple channel queueing model under an uncertain environment with multiclass arrivals for supplying demands in a cement industry
	2018

[14]	A data-driven congestion diffusion model for characterizing traffic in metrocity scales
	2017

[15]	Traffic flow model at fixed control signals with discrete service time distribution
	Croatian Operational Research Review, 2016

[16]	Trafikkproblemene i Moss: en køteoretisk tilnærming til trafikkavviklingen for hovedvegsystemet mellom Kanalen og E6
	2015

[17]	A MULTIPLE CHANNEL QUEUEING MODEL UNDER AN UNCERTAIN ENVIRONMENT WITH MULTICLASS ARRIVALS FOR SUPPLYING DEMANDS IN A …


[18]	Modelling and Simulation of Uyo Metropolis Vehicular Traffic Control
	KM Udofia, JO Emagbetere

[1]	Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data Remote Sensing, 2022 DOI:10.3390/rs14020303

[2]	Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms 2021 DOI:10.4018/978-1-7998-8048-6.ch038

[3]	Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting Transportation Research Record: Journal of the Transportation Research Board, 2020 DOI:10.1177/0361198120930010

[4]	Novel algorithm for leader election process in virtual traffic light protocol International Journal of Information Technology, 2019 DOI:10.1007/s41870-019-00305-x

[5]	Delay Optimization Using Genetic Algorithm at the Road Intersection International Journal of Information Retrieval Research, 2019 DOI:10.4018/IJIRR.2019040101

[6]	Minimum carbon dioxide emission based selection of traffic route with unsignalised junctions in tandem network Management of Environmental Quality: An International Journal, 2018 DOI:10.1108/MEQ-08-2018-0147

[7]	A data-driven congestion diffusion model for characterizing traffic in metrocity scales 2017 IEEE International Conference on Big Data (Big Data), 2017 DOI:10.1109/BigData.2017.8258050

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