ML to Solve traffic congestion with KNN in Tensorflow
Python
Traffic Congestion-Nagpur
The Recommendation system can suggest the most favorable moment to leave from home so that Nagpurians are assured of reaching their desired destination on time.
The travel time from point A to B depends on many dynamic factors along with the demographics such as time of the day, which day is it, weather conditions, temperatures etc. these factors will be fed to this engine.
Travel Time Recommendation Engine will use KNN which will be built using Tensorflow. This model will be trained on historic data. Once trained, the system will be able to recommend accurately about traffic situation, using real world data in Real-time