Adaptive congestion prediction in vehicular ad-hoc networks (VANET) using Type-2 fuzzy model to establish reliable routes

LM Giripunje, A Vidyarthi, SK Shandilya - Wireless Personal …, 2022 - Springer
Urban areas are more prone to accidents and traffic congestions due to ever-increasing
vehicles and poor traffic management. The increase in the emission of harmful gases is …

Congestion rate estimation for VANET infrastructure using fuzzy logic

M Sankaranarayanan, C Mala, S Mathew - Proceedings of the 2017 …, 2017 - dl.acm.org
Rapid Urbanization and higher usage of private transport has led to increase in vehicular
traffic in cities across the globe. However, there has been no drastic improvement in terms of …

A fuzzy logic-based congestion detection technique for vehicular ad hoc networks

R Ranjita, S Acharya - Advances in Distributed Computing and Machine …, 2022 - Springer
Vehicular ad hoc networks (VANETs) have wide applications in public healthcare systems.
Reducing the travel time of emergency vehicles like ambulance increases the chance of …

[PDF][PDF] Vehicular traffic re-routing for avoid the traffic congestion in VANET

N Kirthiga, S Karthik - International Journal of Innovative Research in …, 2014 - Citeseer
ABSTRACT A Vehicular Ad-Hoc Networks (VANETs) is the technology that uses moving
cars as nodes in a network to create a mobile network. VANETs turn every participating car …

Dynamic trafile congestion detection in VANETS using a Fuzzy rule-based system and K-means clustering

U Bhanja, R Kumar, A Routroy… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Vehicular traffic congestion poses a serious challenge to a green environment by
contributing to air pollution, noise pollution, and unnecessary fuel consumption. This paper …

[PDF][PDF] A new traffic congestion detection and quantification method based on comprehensive fuzzy assessment in VANET

L Rui, Y Zhang, H Huang, X Qiu - KSII Transactions on Internet and …, 2018 - koreascience.kr
Recently, road traffic congestion is becoming a serious urban phenomenon, leading to
massive adverse impacts on the ecology and economy. Therefore, solving this problem has …

Fuzzy priority based intelligent traffic congestion control and emergency vehicle management using congestion-aware routing algorithm

M Shelke, A Malhotra, PN Mahalle - Journal of Ambient Intelligence and …, 2019 - Springer
The rapid increase in vehicle population has led to an increase in road congestion, pollution
and accidents. We propose a framework that optimizes collection, classification, scheduling …

A Comparative Study on Machine Learning Algorithms for Congestion Control in VANET

M Kezia, KV Anusuya - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In Vehicular Ad-hoc Networks, vehicles periodically exchange awareness messages for
enhanced safety and traffic management. Massively broadcasted messages in a dense …

[PDF][PDF] Congestion control in vehicular adhoc network: a survey

SJ Elias, SM Hatim, MY Darus, S Abdullah… - Indonesian Journal of …, 2019 - researchgate.net
Vehicular adhoc network (VANET) has a significant potential in reducing traffic congestion to
provide a stress-free and safer platform for road drivers to travel on the road. However, the …

Fuzzy inference based vehicle to vehicle network connectivity model to support optimization routing protocol for vehicular ad-hoc network (vanet)

C Lin, F Dong, K Hirota - Journal of Advanced Computational …, 2014 - jstage.jst.go.jp
A Fuzzy Inference based Vehicle to Vehicle Network Connectivity Model is proposed to
support Optimization Routing Protocol for Vehicular Ad-hoc Network (VANET), where the …