R3: A real-time route recommendation system

  • Henan Wang
  • , Guoliang Li
  • , Huiqi Hu
  • , Shuo Chen
  • , Bingwen Shen
  • , Hao Wu
  • , Wen Syan Li
  • , Kian Lee Tan

Research output: Contribution to journalConference articlepeer-review

40 Scopus citations

Abstract

Existing route recommendation systems have two main weaknesses. First, they usually recommend the same route for all users and cannot help control traffic jam. Second, they do not take full advantage of real-time traffic to recommend the best routes. To address these two problems, we develop a real-time route recommendation system, called R3, aiming to provide users with the real-time-traffic-aware routes. R3 recommends diverse routes for different users to alleviate the traffic pressure. R3 utilizes historical taxi driving data and real-time traffic data and integrates them together to provide users with real-time route recommendation.

Original languageEnglish
Pages (from-to)1549-1552
Number of pages4
JournalProceedings of the VLDB Endowment
Volume7
Issue number13
DOIs
StatePublished - 2014
Externally publishedYes
EventProceedings of the 40th International Conference on Very Large Data Bases, VLDB 2014 - Hangzhou, China
Duration: 1 Sep 20145 Sep 2014

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