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 language | English |
|---|---|
| Pages (from-to) | 1549-1552 |
| Number of pages | 4 |
| Journal | Proceedings of the VLDB Endowment |
| Volume | 7 |
| Issue number | 13 |
| DOIs | |
| State | Published - 2014 |
| Externally published | Yes |
| Event | Proceedings of the 40th International Conference on Very Large Data Bases, VLDB 2014 - Hangzhou, China Duration: 1 Sep 2014 → 5 Sep 2014 |