A New Hybrid Deep Learning Algorithm for Prediction of Wide Traffic Congestion in Smart Cities

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. Nearly 150 thousand people are affected by the road accidents that must be minimized, and improving safety is required in VA...

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Veröffentlicht in:	Wireless communications and mobile computing 2021, Vol.2021 (1)
Hauptverfasser:	Kothai, G., Poovammal, E., Dhiman, Gaurav, Ramana, Kadiyala, Sharma, Ashutosh, AlZain, Mohammed A., Gaba, Gurjot Singh, Masud, Mehedi
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial neural networks Communication Deep learning Feature extraction Infrastructure Intelligent transportation systems Machine learning Mobile ad hoc networks Neural networks Performance measurement Pollutants Recall Roads Roads & highways Smart cities Tensors Traffic accidents Traffic congestion Traffic flow Traffic management Traffic safety Transportation networks Transportation planning Vehicles
Online-Zugang:	Volltext
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