PARecommender: A Pattern-Based System for Route Recommendation
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4272-4272.
Abstract
Widely adoption of GPS-enabled devices generates massive trajectory data every minute. The trajectory data can generate meaningful traffic patterns. In this demo, we present a system called PARecommender, which predicts traffic conditions and provides route recommendation based on generated traffic patterns. We first introduce the technical details of PARecommender, and then show several real cases that how PARecommender works.
Feiyi Tang, Jia Zhu, Yang Cao, Sanli Ma, Yulong Chen, Jing He, Changqin Huang, Gansen Zhao, and Yong Tang. 2016. PARecommender: A Pattern-Based System for Route Recommendation. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 4272–4272. https://ijcai.org/proceedings/2016/656
Tang, F., Zhu, J., Cao, Y., Ma, S., Chen, Y., He, J., Huang, C., Zhao, G., & Tang, Y. (2016). PARecommender: A Pattern-Based System for Route Recommendation. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 (pp. 4272–4272). IJCAI. https://ijcai.org/proceedings/2016/656
@inproceedings{ijcai2016p656,
title = {PARecommender: A Pattern-Based System for Route Recommendation},
author = {Tang, Feiyi and Zhu, Jia and Cao, Yang and Ma, Sanli and Chen, Yulong and He, Jing and Huang, Changqin and Zhao, Gansen and Tang, Yong},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {4272--4272},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/656},
}
TY - CPAPER TI - PARecommender: A Pattern-Based System for Route Recommendation AU - Tang, Feiyi AU - Zhu, Jia AU - Cao, Yang AU - Ma, Sanli AU - Chen, Yulong AU - He, Jing AU - Huang, Changqin AU - Zhao, Gansen AU - Tang, Yong T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 4272 EP - 4272 UR - https://ijcai.org/proceedings/2016/656 ER -Copied
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