A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing
Summary: Queueing-theoretic framework for MRVD in dynamic car-hailing; proves NP-hard and intractable. Leverages ML demand prediction, a double-sided queue for driver idle times, and batch-dispatch to maximize expected revenue, achieving 3–10% gains with scalable performance. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Peng Cheng (East China Normal University)
- 2. Jiabao Jin (East China Normal University)
- 3. Xuemin Lin (University of New South Wales)
- 4. Lei Chen (Hong Kong University of Science and Technology)
- 5. Libin Zheng (Sun Yat-Sen University)
BibTeX Citation
@article{cheng_vldb21,
title = {{A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing}},
author = {Cheng, Peng and Jin, Jiabao and Lin, Xuemin and Chen, Lei and Zheng, Libin},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {11},
pages = {2177--2189},
doi = {10.14778/3476249.3476271},
url = {https://doi.org/10.14778/3476249.3476271},
year = {2021}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,945 | A Unified Approach to Route Planning for Shared Mobility | 2018 | VLDB | 7.9331237e-05 |
| 3,084 | Order Dispatch in Price-aware Ridesharing | 2018 | VLDB | 7.7713936e-05 |
| 4,661 | Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis | 2016 | VLDB | 6.5792798e-05 |
| 6,829 | Utility-Aware Ridesharing on Road Networks | 2017 | SIGMOD | 5.7600666e-05 |
| 8,747 | Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers | 2015 | VLDB | 5.3766157e-05 |
| 11,998 | Flexible Online Task Assignment in Real-Time Spatial Data | 2017 | VLDB | 5.093636e-05 |
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