[PDF][PDF] Intelligent Slime Mould Optimization with Deep Learning Enabled Traffic Prediction in Smart Cities.

MA Hamza, H Alsolai, JS Alzahrani… - … , Materials & Continua, 2022 - researchgate.net
Intelligent Transportation System (ITS) is one of the revolutionary technologies in smart cities
that helps in reducing traffic congestion and enhancing traffic quality. With the help of big …

Big traffic data analytics for smart urban intelligent traffic system using machine learning techniques

SS Hlaing, MM Tin, MM Khin, PP Wai… - 2020 IEEE 9th Global …, 2020 - ieeexplore.ieee.org
Due to huge number of private and public vehicles in last two decades, the traffic load and
congestion have increased significantly, which is major problem in transportation system. An …

Metaheuristic enabled deep convolutional neural network for traffic flow prediction: Impact of improved lion algorithm

M Patel, C Valderrama, A Yadav - Journal of Intelligent …, 2022 - Taylor & Francis
Traffic flow prediction is a basic aspect to be considered in transportation management and
modeling. Attaining precise information on near and current traffic flows has an extensive …

Autonomous short-term traffic flow prediction using pelican optimization with hybrid deep belief network in smart cities

GP Mohammed, N Alasmari, H Alsolai, SS Alotaibi… - Applied Sciences, 2022 - mdpi.com
Accurate and timely traffic flow prediction not just allows traffic controllers to evade traffic
congestion and guarantee standard traffic functioning, it even assists travelers to take …

MFOA-Bi-LSTM: An optimized bidirectional long short-term memory model for short-term traffic flow prediction

B Naheliya, P Redhu, K Kumar - Physica A: Statistical Mechanics and its …, 2024 - Elsevier
Abstract Within Intelligent Transportation Systems (ITSs), modeling of traffic flow assumes a
pivotal role, as it is crucial for alleviating traffic congestion and reducing carbon emissions …

[PDF][PDF] Deep learning techniques for traffic flow prediction in intelligent transportation system: A survey

S George, AK Santra - Test Engineering Management, 2020 - researchgate.net
Abstract Intelligent Transportation System (ITS) intends to provide progressive services
linking different modes of transportation and related service system. Road transportation is …

Hybrid CNN and LSTM Model (HCLM) for Short-Term Traffic Volume Prediction

MA Mead - International Journal of Intelligent Computing and …, 2022 - journals.ekb.eg
Managing traffic on roads within cities, especially crowded roads, requires constant and
rapid intervention to avoid any traffic congestion on these roads. Forecasting the volume of …

Traffic prediction for intelligent transportation system using machine learning

G Meena, D Sharma, M Mahrishi - 2020 3rd International …, 2020 - ieeexplore.ieee.org
This paper aims to develop a tool for predicting accurate and timely traffic flow Information.
Traffic Environment involves everything that can affect the traffic flowing on the road, whether …

Traffic flow prediction using regression and deep learning approach

S Lonare, R Bhramaramba - New Trends in Computational Vision and Bio …, 2020 - Springer
Accurate prediction of traffic makes it easy to make decisions of travelling route, travelling
schedule, travel vehicles choice for a commuter. The surveillance systems, GPS system …

A novel hybrid deep learning algorithm for smart city traffic congestion predictions

LMIL Joseph, P Goel, A Jain… - … and Control (ISPCC), 2021 - ieeexplore.ieee.org
A research is an intellectual system, the vehicular adhoc network (VANET), supplies cars in
the network with critical information. Over 150,000 individuals are impacted by traffic …