Article
Ridesharing-Inspired Trip Recommendations
Proceedings of the 19th IEEE International Conference on Mobile Data Management (2018, Aalborg, Denmark)
Abstract
The objective of this paper is to determine how ridesharing can help lowering the travel cost of a user who already has a preplanned trip. This problem is formulated as the Ridesharing-Inspired Trip Recommendation Query (RSTR). In the first phase of the proposed method, the trip of the query initializer is matched with other users. In the second phase, a heuristic-based algorithm is employed to generate a new trip recommendation. Experimental results showed that the proposed solution is comparable to the optimal solution and performs much better in run-time efficiency and scalability.
Meeting Name
19th IEEE International Conference on Mobile Data Management, MDM 2018 (2018: Jun. 26-28, Aalborg, Denmark)
Department(s)
Computer Science
Research Center/Lab(s)
Intelligent Systems Center
Second Research Center/Lab
Center for High Performance Computing Research
Sponsor(s)
United States. Department of Energy
Comments
This work is supported by DOE grant P200A120110.
Keywords and Phrases
- Optimal solutions,
- POI recommendation,
- Ride-sharing,
- Run-time efficiency,
- Second phase,
- Travel costs,
- Trip planning, Information management
International Standard Book Number (ISBN)
978-153864133-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
6-1-2018
Publication Date
01 Jun 2018
Disciplines
Citation Information
Sanjay Kumar Madria, San Yeung and K. Ward. "Ridesharing-Inspired Trip Recommendations" Proceedings of the 19th IEEE International Conference on Mobile Data Management (2018, Aalborg, Denmark) (2018) p. 34 - 39 ISSN: 1551-6245 Available at: http://works.bepress.com/san-yeung/6/