Real-virtual consistent traffic flow interaction
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @Article{YANG:2019:GM,
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author = "Xin Yang and Yuliang Wang and Shuai Li2 and
Xinglin Piao and Baocai Yin and Qiang Zhang and
Dongsheng Zhou and Xiaopeng Wei",
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title = "Real-virtual consistent traffic flow interaction",
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journal = "Graphical Models",
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volume = "106",
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pages = "101048",
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year = "2019",
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ISSN = "1524-0703",
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DOI = "doi:10.1016/j.gmod.2019.101048",
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URL = "http://www.sciencedirect.com/science/article/pii/S1524070319300396",
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keywords = "genetic algorithms, genetic programming, Microscopic
model, Traffic simulation",
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abstract = "Traffic simulation has become an efficient tool, with
the assistance of computer visualizing techniques, to
solve traffic issues such as traffic congestion,
network design, and similar problems. Properly
controlling simulated traffic flow and modeling each
vehicle's irregular behaviors are key issues in the
traffic simulation field. In this paper, we introduce
real vehicle trajectories as a data-driven factor in
simulated traffic situations to drive behaviors of
other simulated vehicles. First, we train a driving
model for each simulated vehicle using real traffic
data that have a unique control strategy. Then, we fuse
real trajectories driven vehicles with simulated
trajectories driven vehicles to interact, guided by our
learned traffic model, to accurately depict the reality
of traffic flows. Compared with existing methods,
traffic flows simulated using this method are more
realistic and can preserve irregular characteristics of
the real traffic flows",
- }
Genetic Programming entries for
Xin Yang
Yuliang Wang
Shuai Li2
Xinglin Piao
Baocai Yin
Qiang Zhang
Dongsheng Zhou
Xiaopeng Wei
Citations