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 …

Intelligent traffic management system for smart cities

A Khanna, R Goyal, M Verma, D Joshi - … 2018, Solan, India, February 9–10 …, 2019 - Springer
In present-day times, the number of vehicles has increased drastically, but in contrast, the
capabilities of our roads and transportation systems still remain underdeveloped and as a …

Vehicular traffic flow prediction using deployed traffic counters in a city

A Almeida, S Brás, I Oliveira, S Sargento - Future Generation Computer …, 2022 - Elsevier
The sustainable growth of cities created the need for better informed decisions based on
information and communication technologies to sense the city and quantify its pulse. An …

[HTML][HTML] Artificial intelligence applications to smart city and smart enterprise

D Impedovo, G Pirlo - Applied Sciences, 2020 - mdpi.com
Smart cities work under a more resource-efficient management and economy than ordinary
cities. As such, advanced business models have emerged around smart cities, which have …

Disaster management in smart cities by forecasting traffic plan using deep learning and GPUs

M Aqib, R Mehmood, A Albeshri, A Alzahrani - … and Applications: First …, 2018 - Springer
The importance of disaster management is evident by the increasing number of natural and
manmade disasters such as Irma and Manchester attacks. The estimated cost of the recent …

Smart traffic management system using deep learning for smart city applications

GM Lingani, DB Rawat… - 2019 IEEE 9th annual …, 2019 - ieeexplore.ieee.org
Already known as densely populated areas with land use including housing, transportation,
sanitation, utilities and communication, nowadays, cities tend to grow even bigger. Genuine …

Artificial Intelligence in Smart city applications: An overview

BP Ashwini, RM Savithramma… - 2022 6th international …, 2022 - ieeexplore.ieee.org
Recently, the smart city has evolved as a global model and several institutions have adopted
this concept to facilitate the citizens with the comfort and quality of life exploiting the progress …

[PDF][PDF] Intelligent transportation system (ITS) for smart-cities using Mamdani fuzzy inference system

K Iqbal, MA Khan, S Abbas, Z Hasan… - International journal of …, 2018 - researchgate.net
It is estimated that more than half of the world population lives in cities according to (UN
forecasts, 2014), so cities are vital. Cities, as we all know facing with complex challenges–for …

[HTML][HTML] Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques

M Saleem, S Abbas, TM Ghazal, MA Khan… - Egyptian Informatics …, 2022 - Elsevier
Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …

[PDF][PDF] A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction.

M Gollapalli, D Musleh, N Ibrahim, MA Khan… - … , Materials & Continua, 2022 - academia.edu
The fast-paced growth of artificial intelligence applications provides unparalleled
opportunities to improve the efficiency of various systems. Such as the transportation sector …