Skip to main content

An Attention-Based Bi-GRU for Route Planning and Order Dispatch of Bus-Booking Platform

  • Conference paper
  • First Online:
Database Systems for Advanced Applications (DASFAA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12681))

Included in the following conference series:

Abstract

To cope with the high needs from passengers, especially for airports at night, we plan to develop a novel bus-booking platform, which can dispatch several passenger orders to one bus together. In this paper, we first give the formal definition of the Order Dispatch and Route Planning (ODRP) problem for the new bus-booking platform, and prove the ODRP problem is NP-hard. We then propose a new method based on attention mechanism and Bi-directional Gated Recurrent Unit (Bi-GRU) to realize the tasks of order dispatch and route planning simultaneously. To the best of our knowledge, this is the first method that uses main ideas of attention mechanism and Bi-GRU in order dispatch and route planning issues related to urban bus system. It can achieve the goal of increasing passenger number and reducing platform costs. Through experiments based on real-world data, we prove the effectiveness of the proposed method.

This work was supported by the National Key R&D Program of China [2020YFB1707903]; the National Natural Science Foundation of China [61872238, 71722007, 71931001], the Huawei Cloud [TC20201127009], the CCF-Tencent Open Fund [RAGR20200105], and the Tencent Marketing Solution Rhino-Bird Focused Research Program [FR202001].

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

References

  1. Zhou, H., Gao, Y., Gao, X., Chen, G.: Real-time route planning and online order dispatch for bus-booking platforms. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds.) DASFAA 2019. LNCS, vol. 11447, pp. 748–763. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-18579-4_44

    Chapter  Google Scholar 

  2. Xu, Z., et al.: Large-scale order dispatch in on-demand ride-hailing platforms: a learning and planning approach. In: ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), pp. 905–913 (2018)

    Google Scholar 

  3. Xia, B., Li, Y., Li, Q., Li, T.: Attention-based recurrent neural network for location recommendation. In: International Conference on Intelligent Systems and Knowledge Engineering (ISKE), pp. 1–6 (2017)

    Google Scholar 

  4. Li, L., Cai , G., Chen, N.: A rumor events detection method based on deep bidirectional GRU neural network. In: IEEE International Conference on Image, Vision and Computing (ICIVC), pp. 755–759 (2018)

    Google Scholar 

  5. Xian, O.Y., Chitre, M., Rus, D.: An approximate bus route planning algorithm. In: IEEE Symposium on Computational Intelligence in Vehicles & Transportation Systems (CIVTS), pp. 16–24 (2013)

    Google Scholar 

  6. Lei, S., Li, Z., Wu , B., Wang, H.: Research on multi-objective bus route planning model based on taxi GPS data. In: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), pp. 249–255 (2016)

    Google Scholar 

  7. Khoa, V.D., Pham, T.V., Nguyen, H.T., Van Hoai, T.: Multi–criteria route planning in bus network. In: Saeed, K., Snášel, V. (eds.) CISIM 2014. LNCS, vol. 8838, pp. 535–546. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-45237-0_49

    Chapter  Google Scholar 

  8. Wang, S., Lin, W., Yang, Y., Xiao, X., Zhou, S.: Efficient route planning on public transportation networks: a labelling approach. In: ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 967–982 (2015)

    Google Scholar 

  9. Kong, X., Li, M., Tang, T., Tian, K., Moreira-Matias, L., Xia, F.: Shared subway shuttle bus route planning based on transport data analytics. IEEE Trans. Autom. Sci. Eng. 15(4), 1507–1520 (2018)

    Article  Google Scholar 

  10. Zhang, L., et al.: A taxi order dispatch model based on combinatorial optimization. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 2151–2159 (2017)

    Google Scholar 

  11. Zheng, L., Chen, L., Ye, J.: Order dispatch in price-aware ridesharing. Int. Conf. Very Large Data Bases (VLDB) 11(8), 853–865 (2018)

    Google Scholar 

  12. Duan, Y., Wang , N., Wu, J.: Optimizing order dispatch for ride-sharing systems. In: International Conference on Computer Communication and Networks (ICCCN), pp. 1–9 (2019)

    Google Scholar 

  13. Allahviranloo, M., Chow, J.Y., Recker, W.W.: Selective vehicle routing problems under uncertainty without recourse. Transp. Res. Part E Logistics Transp. Rev. 62, 68–88 (2014)

    Article  Google Scholar 

  14. Caceres-Cruz, J., Arias, P., Guimarans, D., Riera, D., Juan, A.A.: Rich vehicle routing problem: survey. ACM Comput. Surv. 47(2), 1–28 (2014)

    Article  Google Scholar 

  15. Ralphs, T.K., Kopman, L., Pulleyblank, W.R., Trotter, L.E.: On the capacitated vehicle routing problem. Math. Program. 94, 343–359 (2003)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaofeng Gao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gao, Y., Gao, Y., Li, Y., Gao, X., Li, X., Chen, G. (2021). An Attention-Based Bi-GRU for Route Planning and Order Dispatch of Bus-Booking Platform. In: Jensen, C.S., et al. Database Systems for Advanced Applications. DASFAA 2021. Lecture Notes in Computer Science(), vol 12681. Springer, Cham. https://doi.org/10.1007/978-3-030-73194-6_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-73194-6_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73193-9

  • Online ISBN: 978-3-030-73194-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics