Artificial Intelligence Aided Recommendation Based Mobile Trip Planner For Eskisehir City

Aydin A., Telceken S.

10th IEEE Conference on Industrial Electronics and Applications, Auckland, New Zealand, 15 - 17 June 2015, pp.1639-1643 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/iciea.2015.7334374
  • City: Auckland
  • Country: New Zealand
  • Page Numbers: pp.1639-1643
  • Keywords: A*, Ant Colony Optimization, Mobile Application, Trip Planner, FREIGHT-TRANSPORTATION SYSTEMS, PATHS
  • Anadolu University Affiliated: Yes


Recent years have seen a proliferation of applications aimed for the mobile users. Although there are some mobile trip planning applications available for big cities such Istanbul, they lack some important features that would be necessary for the best trip quality. This study proposes a new mobile trip planner for real-time navigation developed for Eskisehir city, Turkey (30 points of interests and more than 150 sub places). Given the current GPS location of the traveler and their preferences, the mobile trip planner allows finding a route which minimizes the total travelling time while optimizing the visiting time for each point of interest. The proposed application also gives some recommendations to the travelers which helps them to re-plan their route interactively. The details of the route computation algorithms and their test results are discussed and evaluated.