Main Reference PaperShort-term traffic flow rate forecasting based on identifying similar traffic patterns, Transportation Research Part C, 2016.[Python]
  • By integrating the K-nearest neighbor (K-NN) algorithm and the weighted Euclidean distance in the transportation system, the proposed method discovers the identical traffic pattern from the massive archive data to predict the progressive traffic accurately.

Description
  • By integrating the K-nearest neighbor (K-NN) algorithm and the weighted Euclidean distance in the transportation system, the proposed method discovers the identical traffic pattern from the massive archive data to predict the progressive traffic accurately.

  • To predict the traffic based on a machine learning algorithm

  • To compute the identical traffic pattern

Aim & Objectives
  • To predict the traffic based on a machine learning algorithm

  • To compute the identical traffic pattern

  • The forecasting based on the spatial information further contributes the prediction accuracy.

Contribution
  • The forecasting based on the spatial information further contributes the prediction accuracy.

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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