An agent-based simulation framework for the study of urban delivery
| Autor: | Sara Rodríguez, Andrés Terrasa, Carlos Carrascosa, Javier Palanca, Vicente Julián |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Mobility model Operations research Computer science Process (engineering) Cognitive Neuroscience Multi-agent system Control (management) Multi-agent systems ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Computer Science Applications 020901 industrial engineering & automation Work (electrical) Artificial Intelligence Coordination 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Last mile LENGUAJES Y SISTEMAS INFORMATICOS Smart cities |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| DOI: | 10.1016/j.neucom.2020.03.117 |
| Popis: | [EN] In recent years, cities and especially urban mobility have undergone remarkable changes. Significant advances in technology have been translated into new mobility services for both goods and people. One evident change has been the transformation of traditional vehicle fleets into more open fleets, in the sense that their members can proactively decide whether or not they are part of a certain fleet and whether or not they perform certain services. Fleets of this type make the decision-making process to be highly distributed, and rule out some of the typically centralized decisions. The management and control of this type of open fleets is severely more complex and, for this reason, the availability of simulation tools that allow for their analysis can be very useful. In accordance with this, the main contribution of this work is the development of an agent-based simulation tool specifically designed for the simulation of new urban mobility models. In this way, the tool can simulate any type of fleet in different urban scenarios, including a solution of the Last Mile Delivery problem, which is also included as a proof of concept in this paper. (C) 2020 Elsevier B.V. All rights reserved. This work was partially supported by MINECO/FEDER RTI2018095390-B-C31 of the Spanish government. |
| Databáze: | OpenAIRE |
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