Research Article
Context-Based Traffic Recommendation System
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@INPROCEEDINGS{10.1007/978-3-319-29236-6_13, author={Khac-Hoai Bui and Xuan Pham and Jason Jung and O-Joun Lee and Min-Sung Hong}, title={Context-Based Traffic Recommendation System}, proceedings={Context-Aware Systems and Applications. 4th International Conference, ICCASA 2015, Vung Tau, Vietnam, November 26-27, 2015, Revised Selected Papers}, proceedings_a={ICCASA}, year={2016}, month={4}, keywords={Recommendation system Sensor network DFS algorithm}, doi={10.1007/978-3-319-29236-6_13} }- Khac-Hoai Bui
Xuan Pham
Jason Jung
O-Joun Lee
Min-Sung Hong
Year: 2016
Context-Based Traffic Recommendation System
ICCASA
Springer
DOI: 10.1007/978-3-319-29236-6_13
Abstract
In this paper, we propose a new traffic system recommendation based on support real-time flows in highly unpredictable sensor network environments. The approach system is real-time recommendation system which meet various demands of users. The proposed algorithm include two phases. First phase is proposed to deal with the real-time problem. By this way, the drivers are able to transfer on the way with the shortest-time. For second phase, a research algorithm based on Depth First Search (DFS) algorithm will recommend the paths which meet demands of drivers based their context such as the paths with include the famous landscapes or the paths where they can find out good restaurants for their break while driving.
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