Main Reference PaperA User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data, IEEE Transactions on Big Data, 2018 [Python/Hadoop]
  • This work proposes a search and ranking techniques to increase the efficiency of the proposed ridesharing service. Upon receiving a query from a user, the taxi search algorithms such as Fixed Search and Index Powered Fixed Search, in which returns all possible taxis with user satisfaction. After all the available taxis are searched, it ranks the taxi based on scheduled trip and return the best one to the users.

Description
  • This work proposes a search and ranking techniques to increase the efficiency of the proposed ridesharing service. Upon receiving a query from a user, the taxi search algorithms such as Fixed Search and Index Powered Fixed Search, in which returns all possible taxis with user satisfaction. After all the available taxis are searched, it ranks the taxi based on scheduled trip and return the best one to the users.

  • To reduce the execution time of tasks.

  • To improve the query results by considering the uncertainty in decisions.

Aim & Objectives
  • To reduce the execution time of tasks.

  • To improve the query results by considering the uncertainty in decisions.

  • Sensor uncertainty, which is likely to increase during the operation of the system, so the result is incorrect and non optimal query results. Therefore a technique is contributed to handle the uncertainty factor in the proposed scheme.

Contribution
  • Sensor uncertainty, which is likely to increase during the operation of the system, so the result is incorrect and non optimal query results. Therefore a technique is contributed to handle the uncertainty factor in the proposed scheme.

  • 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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