Real-virtual consistent traffic flow interaction

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{YANG:2019:GM,

• author = "Xin Yang and Yuliang Wang and Shuai Li2 and Xinglin Piao and Baocai Yin and Qiang Zhang and Dongsheng Zhou and Xiaopeng Wei",
• title = "Real-virtual consistent traffic flow interaction",
• journal = "Graphical Models",
• volume = "106",
• pages = "101048",
• year = "2019",
• ISSN = "1524-0703",
• DOI = "doi:10.1016/j.gmod.2019.101048",
• URL = "http://www.sciencedirect.com/science/article/pii/S1524070319300396",
• keywords = "genetic algorithms, genetic programming, Microscopic model, Traffic simulation",
• 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