Skip to main content
SpringerLink
Log in
Book cover

International Conference on Algorithms and Architectures for Parallel Processing

ICA3PP 2018: Algorithms and Architectures for Parallel Processing pp 596–610Cite as

SDVRP-Based Reposition Routing in Bike-Sharing System

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11335))

Abstract

Bike-sharing systems have recently been widely implemented. Despite providing green transportation method and a healthy lifestyle, bike-sharing systems also poses problems for system operators: In order to meet the public’s demand as much as possible, operators must use multiple trucks to relocate new bikes and repaired bikes from the depot to different stations. Then, the route to minimize the cost for the delivery trucks becomes a serious problem. To address this issue, we first formulate the problem into a split delivery vehicle routing problem (SDVRP) since every station’s demand can satisfied by multiple trucks, and use the K-means algorithm to cluster stations. In general, K-means is used to cluster the nearest points without constraint. In this real-world constraint problem, the sum of zones’ demands must be smaller than total truck capacity. Therefore, we transform the SDVRP into a traveling salesman problem (TSP) by using a constrainted K-means algorithm to cluster stations with the demand constraint. Finally, according to the context, we use a genetic algorithm to solve the TSP. The Evaluation considers four real-world open datasets from bike-sharing systems and shows that our method can solve this problem effectively.

Supported by National Natural Science Foundation of China under Grant No. 61772230 and the Natural Science Foundation of China for Young Scholars No. 61702215.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Singla, A., Santoni, M., Bartók, G., Mukerji, P., Meenen, M., Krause, A.: Incentivizing users for balancing bike sharing systems. In: AAAI, pp. 723–729 (2015)

    Google Scholar 

  2. O’Mahony, E., Shmoys, D.B.: Data analysis and optimization for (Citi) bike sharing. In: AAAI, pp. 687–694 (2015)

    Google Scholar 

  3. Pal, A., Zhang, Y.: Free-floating bike sharing: solving real-life large-scale static rebalancing problems. Transp. Res. Part C: Emerg. Technol. 80, 92–116 (2017)

    Article  Google Scholar 

  4. Zhu, C., Zhou, H., Leung, V.C.M., Wang, K., Zhang, Y., Yang, L.T.: Toward big data in green city. IEEE Commun. Mag. 55(11), 14–18 (2017)

    Article  Google Scholar 

  5. http://neo.lcc.uma.es/vrp/vrp-flavors/split-delivery-vrp/

  6. DeMaio, P.: Bike-sharing: history, impacts, models of provision, and future. J. Publ. Transp. 12(4), 3 (2009)

    Article  Google Scholar 

  7. Shaheen, S., Zhang, H., Martin, E., Guzman, S.: China’s Hangzhou public bicycle: understanding early adoption and behavioral response to bikesharing. Transp. Res. Rec.: J. Transp. Res. Board 2247, 33–41 (2011)

    Article  Google Scholar 

  8. Pucher, J., Dill, J., Handy, S.: Infrastructure, programs, and policies to increase bicycling: an international review. Preventive medicine 50, S106–S125 (2010)

    Article  Google Scholar 

  9. Liu, J., Sun, L., Chen, W., Xiong, H.: Rebalancing bike sharing systems: a multi-source data smart optimization. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1005–1014. ACM (2016)

    Google Scholar 

  10. Aeschbach, P., Zhang, X., Georghiou, A., Lygeros, J.: Balancing bike sharing systems through customer cooperation - a case study on London’s Barclays Cycle Hire. In: 2015 IEEE 54th Annual Conference on Decision and Control (CDC), pp. 4722–4727. IEEE (2015)

    Google Scholar 

  11. Schuijbroek, J., Hampshire, R.C., Van Hoeve, W.J.: Inventory rebalancing and vehicle routing in bike sharing systems. Eur. J. Oper. Res. 257(3), 992–1004 (2017)

    Article  MathSciNet  Google Scholar 

  12. Chen, L., et al.: Bike sharing station placement leveraging heterogeneous urban open data. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 571–575. ACM (2015)

    Google Scholar 

  13. Yang, Z., Hu, J., Shu, Y., Cheng, P., Chen, J., Moscibroda, T.: Mobility modeling and prediction in bike-sharing systems. In: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services, pp. 165–178. ACM, 2016

    Google Scholar 

  14. Chen, L., et al.: Dynamic cluster-based over-demand prediction in bike sharing systems. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 841–852. ACM (2016)

    Google Scholar 

  15. Li, Y., Zheng, Y., Zhang, H., Chen, L.: Traffic prediction in a bike-sharing system. In: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 33. ACM (2015)

    Google Scholar 

  16. Chen, L., Jakubowicz, J.: Inferring bike trip patterns from bike sharing system open data. In: IEEE International Conference on Big Data, pp. 2898–2900 (2015)

    Google Scholar 

  17. Lin, J.-H., Chou, T.-C.: A geo-aware and VRP-based public bicycle redistribution system. Int. J. Veh. Technol. 2012, 1–14 (2012)

    Article  Google Scholar 

  18. https://en.wikipedia.org/wiki/Vehicle_routing_problem

  19. https://en.wikipedia.org/wiki/Travelling_salesman_problem

  20. Yun-zhang, L.I.U., Hui-yu, X.U.A.N.: Summarizing research on models and algorithms for vehicle routing problem [j]. J. Industr. Eng. Eng. Manag. 1, 027 (2005)

    Google Scholar 

  21. Archetti, C., Mansini, R., Speranza, M.G.: Complexity and reducibility of the skip delivery problem. Transp. Sci. 39(2), 182–187 (2005)

    Article  Google Scholar 

  22. Dror, M., Trudeau, P.: Savings by split delivery routing. Transp. Sci. 23(2), 141–145 (1989)

    Article  Google Scholar 

  23. Amuthan, A., Thilak, K.D.: Survey on Tabu search meta-heuristic optimization. In: 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), pp. 1539–1543. IEEE (2016)

    Google Scholar 

  24. Ho, S.C., Haugland, D.: A tabu search heuristic for the vehicle routing problem with time windows and split deliveries. Comput. Oper. Res. 31(12), 1947–1964 (2004)

    Article  Google Scholar 

  25. Archetti, C., Speranza, M.G., Hertz, A.: A Tabu search algorithm for the split delivery vehicle routing problem. Transp. Sci. 40(1), 64–73 (2006)

    Article  Google Scholar 

  26. Gendreau, M., Hertz, A., Laporte, G.: New insertion and postoptimization procedures for the traveling salesman problem. Oper. Res. 40(6), 1086–1094 (1992)

    Article  MathSciNet  Google Scholar 

  27. Liu, W.-S., Yang, F., Li, M.-Q., Chen, P.-Z.: Clustering algorithm for split delivery vehicle routing problem. Control Decis. 27(4), 535–541 (2012)

    Google Scholar 

  28. https://en.wikipedia.org/wiki/Genetic_algorithm

  29. http://www.bayareabikeshare.com/open-data

  30. https://www.rideindego.com/about/data/

  31. https://www.divvybikes.com/system-data

  32. https://www.citibikenyc.com/system-data

Download references

Author information

Authors and Affiliations

  1. Department of Software, Jilin University, Changchun, 130012, China

    Zengyi Han & Yunpeng Jiang

  2. Department of Computer Science and Technology, Jilin University, Changchun, 130012, China

    Yongjian Yang, Wenbin Liu & En Wang

Authors
  1. Zengyi Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yongjian Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yunpeng Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wenbin Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. En Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to En Wang .

Editor information

Editors and Affiliations

  1. Rutgers University, Newark, NJ, USA

    Jaideep Vaidya

  2. Guangzhou University, Guangzhou, China

    Jin Li

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Han, Z., Yang, Y., Jiang, Y., Liu, W., Wang, E. (2018). SDVRP-Based Reposition Routing in Bike-Sharing System. In: Vaidya, J., Li, J. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science(), vol 11335. Springer, Cham. https://doi.org/10.1007/978-3-030-05054-2_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05054-2_45

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05053-5

  • Online ISBN: 978-3-030-05054-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation