Distributed Multi-Intersection Traffic Flow Prediction using Deep Learning
I Moumen, R Mahdaoui, FZ Raji… - E3S Web of …, 2024 - e3s-conferences.org
Efficient traffic flow prediction is paramount in modern urban transportation management,
contributing significantly to energy efficiency and overall sustainability. Traditional traffic …
contributing significantly to energy efficiency and overall sustainability. Traditional traffic …
[PDF][PDF] Deep learning techniques for traffic flow prediction in intelligent transportation system: A survey
Abstract Intelligent Transportation System (ITS) intends to provide progressive services
linking different modes of transportation and related service system. Road transportation is …
linking different modes of transportation and related service system. Road transportation is …
Urban traffic flow estimation system based on gated recurrent unit deep learning methodology for Internet of Vehicles
AHA Hussain, MA Taher, OA Mahmood… - IEEE …, 2023 - ieeexplore.ieee.org
Congestion in the world's traffic systems is a major issue that has far-reaching
repercussions, including wasted time and money due to longer commutes and more …
repercussions, including wasted time and money due to longer commutes and more …
Freeway traffic speed prediction under the intelligent driving environment: a deep learning approach
The intelligent transportation system (ITS) has been proven capable of effectively
addressing traffic congestion issues. For vehicles to perform effectively and improve mobility …
addressing traffic congestion issues. For vehicles to perform effectively and improve mobility …
On prediction of traffic flows in smart cities: a multitask deep learning based approach
With the rapid development of transportation systems, traffic data have been largely
produced in daily lives. Finding the insights of all these complex data is of great significance …
produced in daily lives. Finding the insights of all these complex data is of great significance …
Ensemble Learning-based Algorithms for Traffic Flow Prediction in Smart Traffic Systems
AS Alkarim, ASAM Al-Ghamdi, M Ragab - Engineering, Technology & …, 2024 - etasr.com
Due to the tremendous growth of road traffic accidents, Intelligent Transportation Systems
(ITSs) are becoming even more important. To prevent road traffic accidents in the long term …
(ITSs) are becoming even more important. To prevent road traffic accidents in the long term …
A review of deep learning-based approaches and use cases for traffic prediction
Rapid population growth with increasing urban-centric activities have imposed a massive
demand on urban transportation systems—leading to increased mobility, reduced safety …
demand on urban transportation systems—leading to increased mobility, reduced safety …
A data-driven network model for traffic volume prediction at signalized intersections
Network-wide traffic prediction at the level of an intersection can benefit transportation
systems management and operations. However, traditional traffic modeling approaches …
systems management and operations. However, traditional traffic modeling approaches …
A novel hybrid deep learning algorithm for smart city traffic congestion predictions
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 …
the network with critical information. Over 150,000 individuals are impacted by traffic …
Petite term traffic flow prediction using deep learning for augmented flow of vehicles
J Indumathi, V Kaliraj - Concurrent Engineering, 2022 - journals.sagepub.com
An Intelligent Transport System (ITS) model that is contingent on the compulsion and
expertise of the Traffic Prediction System in the contemporary urban context is proposed in …
expertise of the Traffic Prediction System in the contemporary urban context is proposed in …