PARecommender: A Pattern-Based System for Route Recommendation

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.

Authors

• Feiyi Tang
• Jia Zhu Zhejiang Normal University
• Yang Cao University of Science and Technology of China
• Sanli Ma
• Yulong Chen Shanghai Jiao Tong University
• Jing He Xiamen University
• Changqin Huang Zhejiang Key Laboratory of Intelligent Education Technology and Application, Zhejiang Normal University, China
• Gansen Zhao
• Yong Tang South China Normal University

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