Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hongsu Yu"'
Publikováno v:
IEEE Access, Vol 7, Pp 14549-14557 (2019)
With the rapid expansion of road traffic and vehicle scale, citizens have to face the serious life safety risks caused by vehicle accidents while enjoying an increasingly convenient life. Fortunately, vehicular ad hoc networks have provided us with i
Externí odkaz:
https://doaj.org/article/02928aceb2824aaf85914cf3917ef68c
Publikováno v:
IEEE Access, Vol 7, Pp 14549-14557 (2019)
With the rapid expansion of road traffic and vehicle scale, citizens have to face the serious life safety risks caused by vehicle accidents while enjoying an increasingly convenient life. Fortunately, vehicular ad hoc networks have provided us with i
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811362637
CSPS (1)
CSPS (1)
Nowadays, with the large-scale deployment of multiple network interfaces in heterogeneous networks, the diversity of interfaces makes the characteristic differences between transmission paths tend to be obvious. However, when a heterogeneous network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfb5e98011a6ad09ff0c7268a0ae73cf
https://doi.org/10.1007/978-981-13-6264-4_69
https://doi.org/10.1007/978-981-13-6264-4_69
Publikováno v:
WCSP
Nowadays, as a variety of network interfaces are deployed in vehicles for a heterogeneous vehicular network, the diversity of interfaces leads to a noticeable difference in characteristics between transmission paths. When the vehicular heterogeneous
Publikováno v:
2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
With the increasing seriousness of traffic safety problems, the threat of vehicle accidents to personal safety is more and more serious, which makes traffic security research have great significance. At the same time, the rapid development of VANETs
Publikováno v:
2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
Aiming at the problem of information redundancy caused by the high correlation between driving information, traffic information and weather information in the VANET, a Driving Risk Prediction Algorithm based on principal component analysis and BP neu