Main Reference PaperA novel passenger flow prediction model using deep learning methods, Transportation Research Part C, 2017.
  • The proposed work significantly predicts the passenger flow based on the deep learning technique. It explores the spatiotemporal features of traffic flow to yield the prediction results. In particular, it amalgamates the stacked autoencoder of unsupervised learning model with the deep neural network of the supervised learning model.

+ Description
  • The proposed work significantly predicts the passenger flow based on the deep learning technique. It explores the spatiotemporal features of traffic flow to yield the prediction results. In particular, it amalgamates the stacked autoencoder of unsupervised learning model with the deep neural network of the supervised learning model.

  • To predict the passenger flow in periodically

  • To represent and extract the hierarchical features

+ Aim & Objectives
  • To predict the passenger flow in periodically

  • To represent and extract the hierarchical features

  • The exploration of weather information and the refined features will improve the prediction performance

+ Contribution
  • The exploration of weather information and the refined features will improve the prediction performance

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

  • 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.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

Leave Comment

Your email address will not be published. Required fields are marked *

clear formSubmit