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
The vehicular adhoc network (VANET) is an emerging research topic in the intelligent
transportation system that furnishes essential information to the vehicles in the network …

Design of secure and lightweight authentication scheme for UAV-enabled intelligent transportation systems using blockchain and PUF

S Son, D Kwon, S Lee, Y Jeon, AK Das, Y Park - IEEE Access, 2023 - ieeexplore.ieee.org
Unmanned-aerial-vehicle (UAV)-enabled intelligent transportation system (ITS) is an
advanced technology that can provide various services including autonomous driving, real …

Contention window analysis for beaconing in VANETs

R Reinders, M Van Eenennaam… - 2011 7th …, 2011 - ieeexplore.ieee.org
The recently standardised IEEE 802.11 p Wireless Access in Vehicular Environment (WAVE)
protocol is envisioned to be used for Vehicle-to-Vehicle and Vehicle-to-Infrastructure …

Lane change prediction with an echo state network and recurrent neural network in the urban area

K Griesbach, M Beggiato… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The prediction of lane changes can reduce traffic accidents and improve traffic flow. In this
paper two classifiers, Echo State Network and a recurrent neural network with Long Short …

V2V protocols for traffic congestion discovery along routes of interest in VANETs: A quantitative study

G Martuscelli, A Boukerche, L Foschini… - Wireless …, 2016 - Wiley Online Library
One of the most interesting and promising challenges for Intelligent Transportation Systems
(ITSs) relates to the traffic congestion problem. Congestion is a relevant issue for …

An InfoStation-based context-aware on-street parking system

A Alhammad, F Siewe… - … Conference on Computer …, 2012 - ieeexplore.ieee.org
This paper presents a novel vehicle ad hoc network (VANET) based on an on-street parking
system that exploits the concept of InfoStations (ISs) and context-aware systems to locate …

A mobile application for fine dust monitoring system

S Chang, K Jeong - 2017 18th IEEE International Conference …, 2017 - ieeexplore.ieee.org
The recent increase of fine dust levels has resulted in substantially harmful effects on human
health. This paper proposes an easily accessible and cost-efficient dust monitoring system …

Vehicular networking for intelligent and autonomous traffic management

S Gupte, M Younis - 2012 IEEE international conference on …, 2012 - ieeexplore.ieee.org
Traffic congestion has become a daily problem that most people suffer. This not only impacts
the productivity of the population but also poses a safety risk. Most of the technologies for …

Prediction of lane change by echo state networks

K Griesbach, KH Hoffmann, M Beggiato - Transportation research part C …, 2020 - Elsevier
Lane change prediction can reduce traffic accidents and improve traffic flow. To predict lane
changes variables which describe lane changes are needed. Recent studies used different …

An algorithm based on VANET technology to count vehicles stopped at a traffic light

M Contreras, E Gamess - International Journal of Intelligent Transportation …, 2020 - Springer
Abstract Vehicular Ad hoc Networks (VANETs) have gained considerable attention in the
past few years due to their promising applicability in relation to the Intelligent Transportation …