Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities

GP Rocha Filho, RI Meneguette, JRT Neto, A Valejo… - Ad Hoc Networks, 2020 - Elsevier
… the congestion level to maximize the vehicle traffic flow in the transport system, called TRAFFIC.
For … of classifiers to estimate the congestion level using TRAFFIC. Hence, the ensemble …

Optimizing traffic signal settings in smart cities

Z Li, M Shahidehpour, S Bahramirad… - … Transactions on Smart …, 2016 - ieeexplore.ieee.org
… for mitigating traffic congestions and reducing the emission … level optimization framework
to settle the optimal traffic signal setting problem. The upper-level problem determines the traffic

A SUMO based evaluation of road incidents' impact on traffic congestion level in smart cities

D Smith, S Djahel, J Murphy - 39th Annual IEEE Conference on …, 2014 - ieeexplore.ieee.org
… Abstract—Recently, the increasing road traffic congestion … time and the overall traffic congestion
level under several scenarios, … Then, we propose an extension of the open source traffic

An efficient adaptive traffic light control system for urban road traffic congestion reduction in smart cities

DR Aleko, S Djahel - Information, 2020 - mdpi.com
… manage traffic flows crossing road intersections to increase trafficcongestion level in cities.
Therefore, we propose a new Adaptive Traffic Light Control System (ATLCS) to assist traffic

Congestion prediction for smart sustainable cities using IoT and machine learning approaches

S Majumdar, MM Subhani, B Roullier, A Anjum… - Sustainable Cities and …, 2021 - Elsevier
… vehicle speed and traffic congestion based on historic observations of average speeds
and … and accurate method for traffic congestion prediction in smart cities and it is therefore …

Artificial intelligence enabled IoT: traffic congestion reduction in smart cities

S Soomro, MH Miraz, A Prasanth, M Abdullah - 2018 - IET
… a traffic congestion reduction example for smart city. Once a congestion is sensed, the system
makes use our algorithm to re-route the cars in a balanced way to bring the traffic back to …

[HTML][HTML] Improving traffic prediction using congestion propagation patterns in smart cities

AM Nagy, V Simon - Advanced Engineering Informatics, 2021 - Elsevier
… One of the major problems in the transportation of major cities around the world is the
phenomenon of traffic jams and congestion occurring on the road network. Congestion has a …

A communications-oriented perspective on traffic management systems for smart cities: Challenges and innovative approaches

S Djahel, R Doolan, GM Muntean… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
… is related to management problems that range from traffic congestion control to driving …
above issues in future smart cities. One of the most critical consequence of traffic congestion is the …

Toward V2I communication technology-based solution for reducing road traffic congestion in smart cities

S Djahel, N Jabeur, R Barrett… - … Symposium on Networks …, 2015 - ieeexplore.ieee.org
… Our ultimate goal in this paper is to reduce traffic congestion while avoiding, whenever
and wherever possible, stoppings. We argue that this is possible through an improved …

A new hybrid deep learning algorithm for prediction of wide traffic congestion in smart cities

G Kothai, E Poovammal, G Dhiman… - Wireless …, 2021 - Wiley Online Library
… Delays due to traffic, traffic that leads to congestion, consumption of energy, and the … in traffic
management for smart cities [5–9]. The traffic management must effectuate the smart system …