Real-Time Traffic Management by Traffic  Density Monitoring with  Deep Learning

Divya S Nair; Dr.Jesna Mohan

Real-Time Traffic Management by Traffic Density Monitoring with Deep Learning

Authors: Divya S Nair, Dr.Jesna Mohan

Unique Paper ID: 154177
Volume: 8
Issue: 7
PageNo: 68-70

Keywords: segmentation region of interest Single shot Multibox detector.

Abstract:
Intelligent Intersection Traffic Management has become increasingly important because of the need to reduce congestion and improve the overall travel experience of commuters. Given the dynamic nature of everyday city traffic, this project proposes real-time processing of videos from cameras to estimate the traffic density and optimize the signal parameter of the intersection. The system is implemented by performing road area segmentation. From that segmented image, region of interest is obtained. The detection of vehicles is performed by using Single shot Multibox detector (SSD)- MobileNet model. Density is estimated from the detected vehicle count. Based on the density, traffic signals are interchanged.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 7
PageNo: 68-70

Real-Time Traffic Management by Traffic Density Monitoring with Deep Learning

Available:https://ijirt.org/Article?manuscript=154177

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UGC Approved
Journal no 47859

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