eTraffic: Statistical modeling of traffic congestion in Dhaka.

Statistical modeling of traffic congestion in Dhaka.
This proposal aims to build a web-based/mobile-based framework that can estimate the severity of
congestion in any intersection using the statistical traffic congestion model that is learned from past
time-series data. If we can statistically learn the traffic congestion for a significant number of days, we
can use the learned-model in addition to real-time traffic congestion (google maps) to suggest the user
about possible congestion along his/her travel-route at certain time of a regular day.

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