Encyclopedia of Database Systems

Living Edition
| Editors: Ling Liu, M. Tamer Özsu

Trip Planning Queries

Living reference work entry
DOI: https://doi.org/10.1007/978-1-4899-7993-3_80712-1

Synonyms

Definition

Given a set of points of interest (POIs) in two-dimensional space, where each point vi belongs to a specific category \( {C}_j\in C=\left\{{C}_0,\ {C}_1,\dots, {C}_m\right\} \)

Keywords

Global Position System Geographic Information System Travel Salesman Problem Near Neighbor Range Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in to check access.

Recommended Reading

  1. 1.
    Cao X, Chen L, Cong G, Xiao X. Keyword-aware optimal route search. Proc. VLDB Endow., 2012;5(11):1136–1147.Google Scholar
  2. 2.
    Chan EPF, Zhang J. A fast unified opti- mal route query evaluation algorithm. In: Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, November 6–10, 2007. p. 371–80.Google Scholar
  3. 3.
    Chen H, Ku W-S, Sun M-T, Zimmermann R. The multi-rule partial sequenced route query. In: Proceedings of the 16th ACM SIGSPATIAL international conference on advances in geographic in- formation systems. GIS’08. New York; ACM; 2008. p. 10:1–10.Google Scholar
  4. 4.
    Chen H, Ku W-S, Sun M-T, Zimmermann R. The partial sequenced route query with traveling rules in road networks. Geoinformatica. 2011;15(3):541–69.CrossRefGoogle Scholar
  5. 5.
    Cormen TH, Leiserson CE, Rivest RL, Stein C. Introduction to algorithms. 3rd ed. Cambridge, Massachusetts, USA: The MIT Press; 2009.Google Scholar
  6. 6.
    Doytsher Y, Galon B, Kanza Y. Storing routes in socio-spatial networks and supporting social-based route recommendation. In: Proceedings of the 3rd ACM SIGSPATIAL international workshop on location-based social networks. LBSN’11. New York: ACM; 2011. p. 49–56.Google Scholar
  7. 7.
    Hart PE, Nilsson NJ, Raphael B. A formal basis for the heuristic determination of minimum cost paths. IEEE Trans Syst Sci Cybern (SSC4). 1968;4(2): 100–7.CrossRefGoogle Scholar
  8. 8.
    Hefez I, Kanza Y, Levin R. Tarsius: a system for traffic-aware route search under conditions of uncertainty. In: Proceedings of the 19th ACM SIGSPA- TIAL international conference on advances in geo- graphic information systems. GIS’11. New York: ACM; 2011. p. 517–20.Google Scholar
  9. 9.
    Henry-Labordere AL. The record balancing problem: a dynamic programming solution of a generalized traveling salesman problem. In: RIRO. 1969.Google Scholar
  10. 10.
    Hsieh H-P, Li C-T, Lin S-D. Exploiting large-scale check-in data to recommend time- sensitive routes. In: Proceedings of the ACM SIGKDD international workshop on urban computing, Urb- Comp’12. New York: ACM; 2012. p. 55–62.Google Scholar
  11. 11.
    Hsieh H-P, Li C-T, Lin S-D. Triprec: recommending trip routes from large scale check-in data. In: Proceedings of the 21st international conference companion on World Wide Web, WWW’12 Companion. New York: ACM; 2012. p. 529–30.Google Scholar
  12. 12.
    Kanza Y, Levin R, Safra E, Sagiv Y. An interactive approach to route search. In: Wolfson O, Agrawal D, Lu C-T, editors. GIS. ACM; 2009. p. 408–11.Google Scholar
  13. 13.
    Kim B, Lee Y, Lee S, Rhee Y-s, Song J. Towards trajectory- based experience sharing in a city. In: Proceedings of the 3rd ACM SIGSPATIAL international workshop on location-based social networks, LBSN’11. New York: ACM; 2011. p. 85–8.Google Scholar
  14. 14.
    Levin R, Kanza Y, Safra E, Sagiv Y. Interactive route search in the presence of order constraints. PVLDB. 2010;3(1):117–28.Google Scholar
  15. 15.
    Li F, Cheng D, Hadjieleftheriou M, Kollios G, Teng S-H. On trip planning queries in spatial databases. In: Proceedings of the 9th international conference on advances in spatial and temporal databases, SSTD’05. Berlin: Springer; 2005. p. 273–90.Google Scholar
  16. 16.
    Li J, Yang YD, Mamoulis N. Optimal route queries with arbitrary order constraints. IEEE Trans Knowl Data Eng. 2013;25(5):1097–110.CrossRefGoogle Scholar
  17. 17.
    Lu EH-C, Chen C-Y, Tseng VS. Personalized trip recommendation with multiple constraints by mining user check-in behaviors. In: Proceedings of the 20th international conference on advances in geographic information systems, SIGSPATIAL’12. New York: ACM; 2012. p. 209–18.Google Scholar
  18. 18.
    Lu EH-C, Chen H-S, Tseng VS. Efficient approaches for multi-requests route planning in urban areas. In: 2013 IEEE 14th International Conference on Mobile Data Management, vol 1; 2013. p. 36–45.Google Scholar
  19. 19.
    Lu EH-C, Lin C-Y, Tseng VS. Trip-mine: an efficient trip planning approach with travel time constraints. In: Proceedings of the 2011 IEEE 12th international conference on mobile data management, vol. 01, MDM’11. Washington, DC: IEEE Computer Society; 2012. p. 152–61.Google Scholar
  20. 20.
    Ma X, Shekhar S, Xiong H, Zhang P. Exploiting a page-level upper bound for multi- type nearest neighbor queries. In: Proceedings of the 14th annual ACM international symposium on advances in geographic information systems, GIS’06, New York: ACM; 2006. p. 179–86.Google Scholar
  21. 21.
    Malviya N, Madden S, Bhat-tacharya A. A continuous query system for dynamic route planning. In: Abiteboul S, Bhm K, Koch C, Tan K-L, editors. ICDE. IEEE Computer Society; 2011. p. 792–803.Google Scholar
  22. 22.
    Rice MN, Tsotras VJ. Parameterized algorithms for generalized traveling salesman problems in road networks. In: Proceedings of the 21st ACM SIGSPATIAL international conference on advances in geographic information systems, SIGSPA- TIAL’13. New York: ACM; 2013. p. 114–23.Google Scholar
  23. 23.
    Roy SB, Das G, Amer-Yahia S, Yu C. Interactive itinerary planning. 2014 IEEE 30th International Conference on Data Engineering; 2011. p. 15–26.Google Scholar
  24. 24.
    Sharifzadeh M, Kolahdouzan M, Shahabi C. The optimal sequenced route query. VLDB J. 2008;17(4):765–87.CrossRefGoogle Scholar
  25. 25.
    Srivastava SS, Kumar S, Garg RC, Sen P. Generalized travelling salesman problem through n sets of nodes. CORS. 1969;7:97.MathSciNetMATHGoogle Scholar
  26. 26.
    Xu J, Guo L, Ding Z, Sun X, Liu C. Traffic aware route planning in dynamic road networks. In: Lee Sg, Peng Z, Zhou X-f, Moon Y-S, Unland R, Yoo J-s, editors. DASFAA (1), Lecture notes in computer science, vol. 7238. Springer; 2012. p. 576–91.Google Scholar
  27. 27.
    Ye M, Yin P, Lee W-C. Location recommendation for location-based social networks. In: Proceedings of the 18th SIGSPATIAL international conference on advances in geographic information systems, GIS’10. New York: ACM; 2010. p. 458–61.Google Scholar
  28. 28.
    Ying JJ-C, Lee W-C, Ye M, Chen C-Y, Tseng VS. User association analysis of locales on location based social networks. In: Proceedings of the 3rd ACM SIGSPATIAL international workshop on location-based social networks, LBSN’11. New York: ACM; 2011. p. 69–76.Google Scholar
  29. 29.
    Yoon H, Zheng Y, Xie X, Woo W. Smart itinerary recommendation based on user-generated gps trajectories. In: Proceedings of the 7th international conference on Ubiquitous intelligence and computing, UIC’10. Berlin: Springer; 2010. p. 19–34.Google Scholar
  30. 30.
    Zheng Y, Xie X. Learning travel recommendations from user-generated gps traces. ACM Trans Intell Syst Technol. 2011;2(1):1–2.CrossRefGoogle Scholar
  31. 31.
    Zheng Y, Zhang L, Xie X, Ma W-Y. Mining interesting locations and travel sequences from gps trajectories. In: Proceedings of the 18th international conference on World wide web, WWW’09. New York: ACM; 2009. p. 791–800.Google Scholar

Copyright information

© Springer Science+Business Media LLC 2016

Authors and Affiliations

  1. 1.Computer Science and Information Engineering DepartmentNational Chung Cheng UniversityTaiwanRepublic of China
  2. 2.Department of Computer Science, School of ComputingNational University of SingaporeSingaporeRepublic of Singapore