Multi Model Criteria for the Estimation of Road Traffic Congestion from Traffic Flow Information Based on Fuzzy Logic

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Journal of Transportation Technologies

ISSN Print: 2160-0473
ISSN Online: 2160-0481
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"Multi Model Criteria for the Estimation of Road Traffic Congestion from Traffic Flow Information Based on Fuzzy Logic"
written by Hari Shankar, P. L. N. Raju, K. Ram Mohan Rao,
published by Journal of Transportation Technologies, Vol.2 No.1, 2012

has been cited by the following article(s):

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[2]	Fuzzy inference system for evaluating traffic congestion on urban streets
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[3]	Análisis de tiempo de viaje de automóviles y buses bajo distintos esquemas de prioridad a partir de datos masivos
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[4]	TCSA: A Traffic Congestion Situation Assessment Scheme Based on Multi-Index Fuzzy Comprehensive Evaluation in 5G-IoV
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[5]	Vehicle Congestion Estimation Using a Cooperative Infrastructure for Traffic Information Acquisition
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[6]	Traffic flow prediction in inland waterways of Assam region using uncertain spatiotemporal correlative features
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[7]	Night Traffic Flow Prediction Using K-Nearest Neighbors Algorithm
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[8]	Application of Adaptive Neuro-Fuzzy Inference System Model on Traffic Flow of Vehicles at a Signalized Road Intersections
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[9]	Development of a Predictive Approach for the Modelling of Vehicular Traffic Flow at Road Intersections
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[10]	Bangla license plate recognition using image processing and adaptive neuro-fuzzy inference technique
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[11]	Forecasting Spatially-Distributed Urban Traffic Volumes via Multi-Target LSTM-Based Neural Network Regressor
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[12]	교통 혼잡 원인과 영향을 분석하기 위한 시각적 분석 기술
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[13]	Visual cause analytics for traffic congestion
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[14]	Identifying traffic context using driving stress: a longitudinal preliminary case study
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[15]	Time Aware Hybrid Hidden Markov Models for Traffic Congestion Prediction.
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[16]	Forecasting the multifactorial interval grey number sequences using grey relational model and GM (1, N) model based on effective information transformation
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[17]	Traffic congestion prediction based on Hidden Markov Models and contrast measure
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[18]	Time aware hybrid hidden Markov models for traffic Congestion prediction
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[19]	Application of ANFIS model in road traffic and transportation: A literature review from 1993 to 2018
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[20]	Utilizing On-Board GPS in City Buses to Determine Traffic Conditions
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[21]	A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial–temporal data features
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[22]	VPRS 기반 도로 교통 혼잡 예측을 위한 실시간 모델
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[23]	Analisis Kinerja Jalan Raya Kota Malang Menggunakan Metode FCD (Floating Car Data)
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[24]	An impact analysis of traffic image information system on driver travel choice
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[25]	IRS P6 LISS-IV Image Classification using Simple, Fuzzy Logic and Artificial Neural Network Techniques: A Comparison Study
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[26]	A regulation model of urban traffic congestion: Algorithm and implementation
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[27]	Induction Motor Modeling Based on a Fuzzy Clustering Multi-Model—A Real-Time Validation
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[28]	Quantifying impact of traffic images applications (APPS) on travel choices
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[29]	基于自组织理论的道路交通拥塞自疏散模型研究
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[30]	Urban Traffic Congestion Prediction Using Floating Car Trajectory Data
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[31]	Urban traffic congestion estimation and prediction based on floating car trajectory data
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[1]	A Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas IEEE Transactions on Intelligent Transportation Systems, 2023 DOI:10.1109/TITS.2022.3233801

[2]	Fuzzy inference system for evaluating traffic congestion on urban streets RECENT TRENDS IN APPLIED MATHEMATICS IN SCIENCE AND ENGINEERING, 2023 DOI:10.1063/5.0137173

[3]	A Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas IEEE Transactions on Intelligent Transportation Systems, 2023 DOI:10.1109/TITS.2022.3233801

[4]	Vehicle Congestion Estimation Using a Cooperative Infrastructure for Traffic Information Acquisition 2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), 2022 DOI:10.1109/IC3SIS54991.2022.9885437

[5]	Traffic flow prediction in inland waterways of Assam region using uncertain spatiotemporal correlative features Acta Geophysica, 2022 DOI:10.1007/s11600-022-00875-8

[6]	TCSA: A Traffic Congestion Situation Assessment Scheme Based on Multi-Index Fuzzy Comprehensive Evaluation in 5G-IoV Electronics, 2022 DOI:10.3390/electronics11071032

[7]	Visual Cause Analytics for Traffic Congestion IEEE Transactions on Visualization and Computer Graphics, 2021 DOI:10.1109/TVCG.2019.2940580

[8]	Traffic congestion prediction based on Hidden Markov Models and contrast measure Ain Shams Engineering Journal, 2020 DOI:10.1016/j.asej.2019.10.006

[9]	Forecasting Spatially-Distributed Urban Traffic Volumes via Multi-Target LSTM-Based Neural Network Regressor Mathematics, 2020 DOI:10.3390/math8122233

[10]	Identifying Traffic Context Using Driving Stress: A Longitudinal Preliminary Case Study Sensors, 2019 DOI:10.3390/s19092152

[11]	Forecasting the multifactorial interval grey number sequences using grey relational model and GM (1, N) model based on effective information transformation Soft Computing, 2019 DOI:10.1007/s00500-019-04276-w

[12]	Quantifying impact of traffic images applications (APPS) on travel choices KSCE Journal of Civil Engineering, 2016 DOI:10.1007/s12205-015-0656-x

[13]	Urban traffic congestion estimation and prediction based on floating car trajectory data Future Generation Computer Systems, 2016 DOI:10.1016/j.future.2015.11.013

[14]	An impact analysis of traffic image information system on driver travel choice Transportation Research Part A: Policy and Practice, 2016 DOI:10.1016/j.tra.2016.03.014

[15]	A regulation model of urban traffic congestion: Algorithm and implementation 2015 5th World Congress on Information and Communication Technologies (WICT), 2015 DOI:10.1109/WICT.2015.7489649

[16]	Algorithms and Architectures for Parallel Processing Lecture Notes in Computer Science, 2015 DOI:10.1007/978-3-319-27122-4_2

[17]	Induction Motor Modeling Based on a Fuzzy Clustering Multi-Model—A Real-Time Validation International Journal of Modern Nonlinear Theory and Application, 2015 DOI:10.4236/ijmnta.2015.42011

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