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Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees

Summary: The paper presents a theoretically guaranteed framework for last-mile route planning, achieving 6rho-approximation for makespan and total latency (rho = kLMD core for one courier). An HST-based spatial index yields rho = O(log n) for kLMD; experiments show 29x–109x makespan and 20x–175x latency gains on large-scale datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12390
Venue
VLDB
Year
2020
Pagerank
5.9213518e-05
Overall Rank
6,302 | 56.77%
DOI
10.14778/3368289.3368297

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Authors

BibTeX Citation

@article{zeng_vldb20,
        title = {{Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees}},
        author = {Zeng, Yuxiang and Tong, Yongxin and Chen, Lei},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {3},
        pages = {320--333},
        doi = {10.14778/3368289.3368297},
        url = {https://doi.org/10.14778/3368289.3368297},
        year = {2020}
}

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