Scipediacontent: Scipediacontent moved page Draft Content 745578018 to Kapadni et al 2020a

2021-02-02T04:21:53Z

Scipediacontent moved page Draft Content 745578018 to Kapadni et al 2020a

Scipediacontent: Created page with " == Abstract == Increased amount of vehicular traffic on roads is a significant issue. High amount of vehicular traffic creates traffic congestion, unwanted delays, pollution..."

2021-02-02T04:21:48Z

Created page with " == Abstract == Increased amount of vehicular traffic on roads is a significant issue. High amount of vehicular traffic creates traffic congestion, unwanted delays, pollution..."

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== Abstract ==

Increased amount of vehicular traffic on roads is a significant issue. High amount of vehicular traffic creates traffic congestion, unwanted delays, pollution, money loss, health issues, accidents, emergency vehicle passage and traffic violations that ends up in the decline in productivity. In peak hours, the issues become even worse. Traditional traffic management and control systems fail to tackle this problem. Currently, the traffic lights at intersections aren't adaptive and have fixed time delays. There's a necessity of an optimized and sensible control system which would enhance the efficiency of traffic flow. Smart traffic systems perform estimation of traffic density and create the traffic lights modification consistent with the quantity of traffic. We tend to propose an efficient way to estimate the traffic density on intersection using image processing and machine learning techniques in real time. The proposed methodology takes pictures of traffic at junction to estimate the traffic density. We use Histogram of Oriented Gradients (HOG), Local Binary Patterns (LBP) and Support Vector Machine (SVM) based approach for traffic density estimation. The strategy is computationally inexpensive and can run efficiently on raspberry pi board. Code is released at https://github.com/DevashishPrasad/Smart-Traffic-Junction.

Comment: paper accepted at IEEE PuneCon 2019

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/2005.01770 http://arxiv.org/abs/2005.01770]

* [http://arxiv.org/pdf/2005.01770 http://arxiv.org/pdf/2005.01770]

* [http://xplorestaging.ieee.org/ielx7/9102215/9105665/09105731.pdf?arnumber=9105731 http://xplorestaging.ieee.org/ielx7/9102215/9105665/09105731.pdf?arnumber=9105731],
: [http://dx.doi.org/10.1109/punecon46936.2019.9105731 http://dx.doi.org/10.1109/punecon46936.2019.9105731]

* [https://dblp.uni-trier.de/db/journals/corr/corr2005.html#abs-2005-01770 https://dblp.uni-trier.de/db/journals/corr/corr2005.html#abs-2005-01770],
: [https://academic.microsoft.com/#/detail/3033641787 https://academic.microsoft.com/#/detail/3033641787]

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Kapadni et al 2020a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 745578018 to Kapadni et al 2020a

Scipediacontent: Created page with " == Abstract == Increased amount of vehicular traffic on roads is a significant issue. High amount of vehicular traffic creates traffic congestion, unwanted delays, pollution..."