Abstract
This paper aims at evaluating the impacts of Urban Consolidation Centers (UCC) for sustainable city logistics using Adaptive Dynamic Programming (ADP) based multi-agent simulation (MAS-ADP). Economic efficiency and environment friendliness criteria were used to evaluate the sustainability of UCC. The results proved that the implementation of UCC as a sustainable city logistics scheme is efficient in reducing 8% of the total delivery cost for freight carrier and reducing 36% of the total emissions released to the environment. It is also showed that the use of learning agents is essential to demonstrate the successful implementation of the UCC, as it is only in the learning-based simulation, UCC operator could get a profit. Our simulation analysis also confirmed that compared to widely used reinforced learning algorithms (Q-learning), MAS-ADP brought increased accuracy to the evaluations' outcomes of UCC.
| Original language | English |
|---|---|
| Article number | 012071 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 328 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 24 Oct 2019 |
| Event | 4th International Conference in Planning in the 2019 Era of Uncertainty, ICPEU 2019 - Malang City, Indonesia Duration: 12 Mar 2019 → 13 Mar 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- adaptive dynamic Programming
- city logistics
- multi-agent system
- sustainability
- urban consolidation centre
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