Optimization of smart traffic governance system using artificial intelligence

A Sukhadia, K Upadhyay, M Gundeti, S Shah… - Augmented Human …, 2020 - Springer
Traffic system shows a great scope of trade with the environment and is directly connected to
it. Manual traffic systems are proving to be insufficient due to rapid urbanization. Central …

Applications of computational intelligence in vehicle traffic congestion problem: a survey

MR Jabbarpour, H Zarrabi, RH Khokhar… - Soft Computing, 2018 - Springer
Vehicle traffic congestion is an increasing concern in metropolitan areas, with negative
health, environment and economical implications. In recent times, computational intelligence …

Traffic management systems: A classification, review, challenges, and future perspectives

AM De Souza, CARL Brennand… - International …, 2017 - journals.sagepub.com
In cities, where the number of vehicles continuously increases faster than the available traffic
infrastructure to support them, congestion is a difficult issue to deal with and it becomes even …

FuzzyNet-Based Modelling Smart Traffic System in Smart Cities Using Deep Learning Models

PK Mall, V Narayan, S Pramanik… - … of Research on Data …, 2023 - igi-global.com
The current lockouts, climatic variations, population expansion, and constraints on
convenience and natural resource access are some of the factors that are making the need …

Enabling smart city with intelligent congestion control using hops with a hybrid computational approach

S Abbas, MA Khan, A Athar, SA Shan… - The Computer …, 2022 - academic.oup.com
In a smart city, the subject of the congestion-free traffic has been leading objectives from the
past decade, and many approaches are adopted to make congestion-free roads. These …

Machine learning approach on traffic congestion monitoring system in internet of vehicles

SJ Kamble, MR Kounte - Procedia Computer Science, 2020 - Elsevier
Traffic congestion is a major issue in urban cities leading to aggregated traffic. With the
advancement in intelligent internet of vehicles, new technologies and protocols have been …

[PDF][PDF] Intelligent road traffic control system for traffic congestion: a perspective

PA Mandhare, V Kharat, CY Patil - International Journal of …, 2018 - uploads.laborx.com
An important measurement for the cost-effective growth of any nation is rapidly increasing
vehicle count. The effect of raise in vehicle count grows the traffic congestion. It results in …

Intelligent transportation and control systems using data mining and machine learning techniques: A comprehensive study

NO Alsrehin, AF Klaib, A Magableh - IEEE Access, 2019 - ieeexplore.ieee.org
Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …

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 …

Fog computing for detecting vehicular congestion, an internet of vehicles based approach: A review

A Thakur, R Malekian - IEEE Intelligent Transportation Systems …, 2019 - ieeexplore.ieee.org
Vehicular congestion is directly impacting the efficiency of the transport sector. A wireless
sensor network for vehicular clients is used in Internet of Vehicles based solutions for traffic …