Genetic Algorithm Based Microscale Vehicle Emissions Modelling
Joint Authors
Ferreira, Luis
Zhu, Sicong
Tey, LiSian
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
There is a need to match emission estimations accuracy with the outputs of transport models.
The overall error rate in long-term traffic forecasts resulting from strategic transport models is likely to be significant.
Microsimulation models, whilst high-resolution in nature, may have similar measurement errors if they use the outputs of strategic models to obtain traffic demand predictions.
At the microlevel, this paper discusses the limitations of existing emissions estimation approaches.
Emission models for predicting emission pollutants other than CO2 are proposed.
A genetic algorithm approach is adopted to select the predicting variables for the black box model.
The approach is capable of solving combinatorial optimization problems.
Overall, the emission prediction results reveal that the proposed new models outperform conventional equations in terms of accuracy and robustness.
American Psychological Association (APA)
Zhu, Sicong& Tey, LiSian& Ferreira, Luis. 2015. Genetic Algorithm Based Microscale Vehicle Emissions Modelling. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073126
Modern Language Association (MLA)
Zhu, Sicong…[et al.]. Genetic Algorithm Based Microscale Vehicle Emissions Modelling. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073126
American Medical Association (AMA)
Zhu, Sicong& Tey, LiSian& Ferreira, Luis. Genetic Algorithm Based Microscale Vehicle Emissions Modelling. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073126
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073126