CPS-oriented short-term icing events prediction and proactive anti-ice control for highway systems
ZHANG Changli
MENG Ying
WEN Limin
LI Pengchao
Abstract:With regard to the meteorological disasters,e.g.,ice,snow,and freezing rain,which drastically degrade the transportation safety and efficiency levels of highway systems,a Cyber-Physical System(CPS)model for road surface ice event prediction and proactive anti-ice control is proposed based on re-lated CPS theories in.Different to the traditional post-disposal ideas,this CPS advocates a new concept of beforehand avoidance of road surface-icing,by predicting ice events in advance and conducting proposals proactively.Then,as the major components in the cyber world of this CPS,the short-term ice event pre-diction algorithm and the proactive anti-ice control strategy are sketched accordingly.Specifically,the ice event prediction algorithm is capable of modeling the coupling changing effects of air temperature and road-surface temperature with the help of thermal radiation theory,and yields the icing risk estimation on both facets of likelihood and intensity;while the anti-ice control strategy remotely controls the work-ing mode of a particular agent-spraying anti-ice device,deployed in the physical world of this CPS,ac-cording to the different likelihood and intensity levels of predicted icing risks.The experiments with actual meteorological data and the demonstration application of this CPS show that:this system can pre-dict icing-event in a rather high precision,with an average prediction error around±0.2℃within 30min period;the ice-melting results are also appreciable,with almost 3/4of the major traffic lanes area free of ice or slightly affected.In conclusion,this CPS,with its major techniques,will be greatly applicable in the informationizing and efficiency-enhancing construction works of China highway.
Keywords:transportation engineeringhighway systemcyber-physical systemsshort-term icing event predictionanti-ice control strategy
Publication Date:2017-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:8( 47-54 )
Journal of Beijing Jiaotong University

Journal of Beijing Jiaotong University

ISTICPKUCSCD
ISSN:1673-0291
Year, Vol.(Issue):2017,41(3)