Congestion Control for Mixed-Mode Traffic with Emission Cost
Joint Authors
Wang, Guoxin
Li, Ya
Liu, Renhuai
Zou, Yuanyang
Ma, Yingshuang
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-28
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper presents two models to investigate the traffic assignment problem.
In the two models, the emission cost for gasoline vehicles (GVs) is considered.
The credit schemes are considered in the constraint of the models.
The operation costs for battery electric vehicles (BEVs) and GVs are also studied.
Particularly, the constraints related to the credit schemes can be utilized to adjust the number of GVs and to promote growth of the number of BEVs, which is a novel idea that was not studied.
Preliminary numerical experiments demonstrate that the models are effective and the extended distance limit of BEVs can raise the volume of BEVs under the condition that the unit traffic cost of BEVs is lower than GVs.
Therefore, it is feasible to control the quantity of GVs by adjusting the total credit schemes, and it is viable to reduce the emission by enlarging the number of BEVs’ users.
American Psychological Association (APA)
Li, Ya& Liu, Renhuai& Zou, Yuanyang& Ma, Yingshuang& Wang, Guoxin. 2020. Congestion Control for Mixed-Mode Traffic with Emission Cost. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1176180
Modern Language Association (MLA)
Li, Ya…[et al.]. Congestion Control for Mixed-Mode Traffic with Emission Cost. Journal of Advanced Transportation No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1176180
American Medical Association (AMA)
Li, Ya& Liu, Renhuai& Zou, Yuanyang& Ma, Yingshuang& Wang, Guoxin. Congestion Control for Mixed-Mode Traffic with Emission Cost. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1176180
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176180