Reconcile autonomous garbage truck and workload for multiple-period waste pickup schedule considering service frequency for industry 5.0

Dandan Zhang, Lei Shi, Yucheng Shi, Yufei Gao and Qingxian Wang

Transportation Research Part E: Logistics and Transportation Review, 2025, vol. 200, issue C

Abstract: The autonomous garbage truck armed with garbage collector robots for unloading/loading waste will be essential for municipal waste collection in Industry 5.0. Due to the juvenility of garbage collector robots, it is significant to reconcile autonomous garbage trucks and sanitation workers in municipal waste management in transition to Industry 5.0. This paper focuses on reconciling the multiple-period waste collection route design of autonomous garbage trucks and the workload of sanitation workers considering the service frequency constraint and introduces a Period Statistics-based Waste Collection Routing Problem (PS-WCRP). We formulate the problem as multi-objective programming and propose an adaptive large neighborhood search-based hierarchical framework to solve it. The experimental results indicate its excellent performance by comparison with commercial tools, Gurobi and other heuristics. Furthermore, the ablation experiment analysis reveals the rationality and effectiveness of our solution framework. Finally, reconciliation is achieved, as proven by the analysis of sanitation workers’ workload.

Keywords: Waste collection; Adaptive large neighborhood search; Service frequency; Workload (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.tre.2025.104171

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