Title
Ontology-based multi-agent system for urban freight transportation
Author
Anand, N.
van Duin, R.
Tavasszy, L.
Publication year
2014
Abstract
Congestion, pollution, and safety are some of the most worrisome side-effects of the urban goods movement activities. These problems are generally attributed to the underlying characteristics of the domain such as heterogeneous stakeholders, their conflicting objectives and resulting distributed decision-making. Such autonomous decision-making stakeholders do not efficiently cooperate and coordinate while performing city logistics activities. The ensuing inefficient use of resources (e.g. goods delivery vehicle, time, etc.) gives rise to the above-mentioned problems. To reduce the negative externalities of urban goods movement, we first must understand the decision-making process of the city logistics stakeholder under different situations. Agent-based simulation modelling technique is such an approach where distributed decision-making of the multiple stakeholders can be included by modelling each entity as an autonomous agent. In this paper, we propose the use of a knowledge data model of urban freight domain - city logistics ontology - to develop an agent-based model. City logistics ontology is a knowledge model which includes city logistics entities (e.g. stakeholders, resources, etc.) and relationships between them in a structured form. The paper focuses on the usefulness of ontology in the development of agent-based model for city logistics domain, and attempts to demonstrate the effectiveness of agent technology in analysing the urban freight decision-making processes. © 2014 © 2014 The Institute of Urban Sciences.
Subject
Operations Modelling
STL - Sustainable Transport & Logistics
ELSS - Earth, Life and Social Sciences
Infostructures
Logistics
Information Society
agent-based model
city logistics
multi-stakeholder
ontology
To reference this document use:
http://resolver.tudelft.nl/uuid:9ec3507b-69b2-4bca-873e-818eb5476b49
DOI
https://doi.org/10.1080/12265934.2014.920696
TNO identifier
513397
Publisher
Routledge
ISSN
2161-6779
Source
International Journal of Urban Sciences, 18 (2), 133-153
Document type
article