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@article{154177,
        author = {Divya S Nair and Dr.Jesna Mohan},
        title = {Real-Time Traffic Management by Traffic  Density Monitoring with  Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {7},
        pages = {68-70},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154177},
        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.},
        keywords = {segmentation, region of  interest, Single shot
Multibox detector.
},
        month = {},
        }