Revenue-maximizing online stable task assignment on taxi-dispatching platforms

Jingwei LV, Ze ZHAO, Shuzhen YAO, Weifeng LV

Front. Comput. Sci. ›› 2022, Vol. 16 ›› Issue (6) : 166208.

PDF(1662 KB)
Front. Comput. Sci. All Journals
PDF(1662 KB)
Front. Comput. Sci. ›› 2022, Vol. 16 ›› Issue (6) : 166208. DOI: 10.1007/s11704-021-0363-3
Software
LETTER

Revenue-maximizing online stable task assignment on taxi-dispatching platforms

Author information +
History +

Graphical abstract

Cite this article

Download citation ▾
Jingwei LV, Ze ZHAO, Shuzhen YAO, Weifeng LV. Revenue-maximizing online stable task assignment on taxi-dispatching platforms. Front. Comput. Sci., 2022, 16(6): 166208 https://doi.org/10.1007/s11704-021-0363-3
This is a preview of subscription content, contact us for subscripton.

References

[1]
Wong R C W, Tao Y, Fu A W C, Xiao X. On efficient spatial matching. In: Proceedings of the 33rd International Conference on Very Large Data Bases. 2007, 579– 590
[2]
Karp R M, Vazirani U V, Vazirani V V. An optimal algorithm for on-line bipartite matching. In: Proceedings of the 22nd Annual ACM Symposium on Theory of Computing. 1990, 352–358
[3]
Gale D , Shapley L S . College admissions and the stability of marriage. The American Mathematical Monthly, 1962, 69( 1): 9– 15
[4]
Xia C, Muthukrishnan S. Revenue-maximizing stable pricing in online labor markets. In: Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing. 2017, 216–225

Supporting Information

The supporting information is available online at journal. hep. com. cn and link. springer. com.

RIGHTS & PERMISSIONS

2022 Higher Education Press
AI Summary AI Mindmap
PDF(1662 KB)

Supplementary files

Highlights (181 KB)

Supplementary materials (399 KB)

1197

Accesses

0

Citations

Detail

Sections
Recommended

/