Main Reference PaperPersonalized travel time estimation for urban road networks: A tensor-based context-aware approach, Expert Systems With Applications, 2018 [Python]
  • The proposed tensor-based context-aware model produces an accurate travel time estimation. It exploits the gradient-based algorithm to compute the optimal solution from the contextual features. It incorporates the historical data, spatiotemporal relation, deviance between the drivers to identify the travel time.

Description
  • The proposed tensor-based context-aware model produces an accurate travel time estimation. It exploits the gradient-based algorithm to compute the optimal solution from the contextual features. It incorporates the historical data, spatiotemporal relation, deviance between the drivers to identify the travel time.

  • To estimate the travel time in a personalized manner

  • To mitigate the estimation error

Aim & Objectives
  • To estimate the travel time in a personalized manner

  • To mitigate the estimation error

  • To develop a system that is based on additional factors such as the weather condition, signal timings, and traffic condition

Contribution
  • To develop a system that is based on additional factors such as the weather condition, signal timings, and traffic condition

  • 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Your email address will not be published.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