Modeling city logistics using adaptive dynamic programming based multi-agent simulation

N. Firdausiyah, E. Taniguchi and A.G. Qureshi

Transportation Research Part E: Logistics and Transportation Review, 2019, vol. 125, issue C, 74-96

Abstract: The effects of city logistics solutions are uncertain due to fluctuating demand, parking issues and multiple agents within the system. This research modelled the behavior of freight carriers and an Urban Consolidation Center (UCC) operator using Multi-Agent Simulation-Adaptive Dynamic Programming based Reinforcement Learning (MAS-ADP based RL) to evaluate a Joint Delivery Systems in an uncertain environment. The MAS-ADP based RL is superior to MAS-Q-learning in replicating the potential actions of the agents under uncertain environment by adapting to the changing environment properly into accurate decisions thus increasing the accuracy of agent’s decision making and eventually reducing environmental emissions as well.

Keywords: Adaptive dynamic programming; Multi-agent simulation; Reinforcement learning; City logistics; Urban consolidation center (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554518309049
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:125:y:2019:i:c:p:74-96

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic

DOI: 10.1016/j.tre.2019.02.011

Access Statistics for this article

Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().