Effective and Efficient: Large-scale Dynamic City
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Effective and Efficient: Large-scale Dynamic City

Author : conchita-marotz | Published Date : 2025-05-10

Description: Effective and Efficient Largescale Dynamic City Express Siyuan Zhang Lu Qin Yu Zheng Hong Cheng The Chinese University of Hong Kong China Centre for QCIS FEIT University of Technology Sydney Australia Microsoft Research

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Transcript:Effective and Efficient: Large-scale Dynamic City:
Effective and Efficient: Large-scale Dynamic City Express Siyuan Zhang †, Lu Qin‡, Yu Zheng*, Hong Cheng† † The Chinese University of Hong Kong, China ‡Centre for QCIS, FEIT, University of Technology, Sydney, Australia *Microsoft Research, Beijing, China Current city express services works as follows: Background Drawbacks of current systems: Boundary requests are ignored. Process each pickup request individually and immediately We study the dynamic city express problem (DCEP) and aim to design a better central dispatch system DCEP Problem and Our Solution The Dynamic City Express Problem (DCEP): Effectiveness: using Smallest Incurred Distance First (SIDF) for assignment. Efficiency: using two-level priority queue structure to speed up. 1. Must deliver 2. Pickup request as many as possible 3. Come back on time NP-complete l(r1): location; d(r1): deadline Step 1: Candidate Courier Generation using NVD index Candidate Voronoi regions: ts0, ts1, ts2 cost(l(tsj),l(r1))-radius(tsj)