Review of Virtual Traffic Simulation and Its Applications
Joint Authors
Liu, Cui-juan
Liu, Zhen
Chai, Yan-jie
Liu, Ting-ting
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The increasing number of vehicles in cities brings new challenges to urban traffic management.
Analyzing and modeling traffic is of great practical significance to urban intelligent traffic management.
In this paper, the existing traffic simulation research is reviewed and summarized.
Firstly, the crowd modeling and crowd animation are analyzed by referring to the idea of crowd simulation.
Secondly, it compares and analyzes various existing car following technologies, and points out that animated traffic simulation is a hotspot in traffic simulation research.
And then the concept of affective computing is integrated into the traffic simulation, considering the impacts of drivers’ emotion on vehicle driving and it is pointed out that the emotion-driven traffic flow is more authentic.
Finally, combined with the status quo, the existing research drawbacks are analyzed, and the direction of future traffic simulation is pointed out.
American Psychological Association (APA)
Liu, Cui-juan& Liu, Zhen& Chai, Yan-jie& Liu, Ting-ting. 2020. Review of Virtual Traffic Simulation and Its Applications. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1176095
Modern Language Association (MLA)
Liu, Cui-juan…[et al.]. Review of Virtual Traffic Simulation and Its Applications. Journal of Advanced Transportation No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1176095
American Medical Association (AMA)
Liu, Cui-juan& Liu, Zhen& Chai, Yan-jie& Liu, Ting-ting. Review of Virtual Traffic Simulation and Its Applications. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1176095
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176095