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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
12202
Venue
VLDB
Year
2020
Pagerank
5.2415551e-05
Overall Rank
6,006 | 58.22%
DOI
10.14778/3368289.3368297

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