Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Traditionally, routing decisions have been based on minimizing travel time as the associated cost.
Eco-routing considers the environmental aspects (e.g., emissions and fuel) as part of the travel cost to mitigate the undesirable impact of transportation systems on the environment.
Unlike the existing eco-routing review papers, this research work is aimed at providing a three-factor taxonomy at a more disaggregated level from the optimization perspective and map eco-routing studies to the proposed taxonomy.
Furthermore, the strengths and weaknesses of the presented models are summarized.
Our main findings include (a) a majority of studies optimized one objective at a time; (b) the microscopic level of aggregation of the flow and emission/fuel models was rarely employed for large case studies, due to the associated complexity; and (c) all of the reviewed studies were applied in a centralized routing system environment.
In the near future, when intelligent vehicles will be on the roads, a multi-objective distributed routing framework can be employed with a microscopic level of aggregation for both traffic and emission models, which is capable of operating on largescale networks in real time.
Additionally, short-term spatiotemporal prediction of GHG cost is a crucial aspect to be tackled.
American Psychological Association (APA)
Alfaseeh, Lama& Farooq, Bilal. 2020. Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook. Journal of Sensors،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1190437
Modern Language Association (MLA)
Alfaseeh, Lama& Farooq, Bilal. Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook. Journal of Sensors No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1190437
American Medical Association (AMA)
Alfaseeh, Lama& Farooq, Bilal. Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1190437
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190437