Abstract
This paper addresses issues related to modeling energy consumption and emissions using microscopic traffic simulations. This paper develops a method in which a traffic model is used to calculate the energy needed to travel through selected types of intersections. This paper focuses on energy consumption and derived values of calculated energy, which can be, for example, carbon dioxide emissions. The authors present a review of the scientific literature on the study of factors affecting energy consumption and emissions and methods to estimate them in traffic. The authors implemented an energy consumption model into a microsimulation software module to estimate results as a function of varying traffic volumes at selected types of intersections and for selected traffic organization scenarios. The results of the study show the lowest energy consumption and the lowest emissions when road solutions are selected that contribute to reducing vehicle travel times on the urban street network at higher average vehicle speeds. In addition, the positive impact of the share of electric vehicles in the traffic flow on the reduction of energy consumption and emissivity was estimated.
Citations
-
2
CrossRef
-
0
Web of Science
-
2
Scopus
Authors (2)
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/en16010233
- License
- open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
ENERGIES
no. 16,
ISSN: 1996-1073 - Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Oskarbski J., Biszko K.: Estimation of Vehicle Energy Consumption at Intersections Using Microscopic Traffic Models// ENERGIES -Vol. 16,iss. 1 (2023), s.233-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/en16010233
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
seen 134 times
Recommended for you
Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
- T. T. Le,
- P. Sharma,
- S. M. Osman
- + 5 authors
Net-zero carbon condition in wastewater treatment plants: A systematic review of mitigation strategies and challenges
- M. Maktabifard,
- H. Al-Hazmi,
- P. Szulc
- + 5 authors