Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Xuejian Kang"'
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
The accurate evaluation and prediction of highway network traffic state can provide effective information for travelers and traffic managers. Based on the deep learning theory, this paper proposes an evaluation and prediction model of highway network
Externí odkaz:
https://doaj.org/article/8aee0dc5e3164679a43a874cb115bb90
Publikováno v:
Sustainability; Volume 14; Issue 23; Pages: 15736
The “white hole effect” alters the driving environment during a tunnel’s exit phase, making it more difficult and uncertain for drivers to access information and control their behavior, thereby endangering traffic safety. Consequently, the driv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5346a1fe3be4a44252fbcafcd744b178
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::444c010229d6d7485e9e31ad94c7ab67
https://doi.org/10.2139/ssrn.4162482
https://doi.org/10.2139/ssrn.4162482
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4e3522099d3541c4bc2560c4b30071e
https://doi.org/10.2139/ssrn.4049760
https://doi.org/10.2139/ssrn.4049760
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa1ce29ee320a2d4988100678d2dfe63
https://doi.org/10.2139/ssrn.4048917
https://doi.org/10.2139/ssrn.4048917
Publikováno v:
Sustainability; Volume 13; Issue 23; Pages: 13097
Sustainability, Vol 13, Iss 13097, p 13097 (2021)
Sustainability, Vol 13, Iss 13097, p 13097 (2021)
The larger the proportion of truck traffic volume, the greater the impact on traffic efficiency, and overtaking behavior will also have an impact. Therefore, in order to clarify the truck traffic volume of the freight two-lane highway due to the diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e2a4bc7a335b823d39cc98d27e70e1
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
The accurate evaluation and prediction of highway network traffic state can provide effective information for travelers and traffic managers. Based on the deep learning theory, this paper proposes an evaluation and prediction model of highway network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be553faa931086cb468b30cebd6b538f
https://doaj.org/article/8aee0dc5e3164679a43a874cb115bb90
https://doaj.org/article/8aee0dc5e3164679a43a874cb115bb90
Publikováno v:
2020 5th International Conference on Electromechanical Control Technology and Transportation (ICECTT).
The third rail system (TRS) plays a significant role in supplying electric current to the metro vehicle in urban rail transit. The failure of its components can influence the operational stability and safety of both the TRS and the vehicle to some ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6572b00d6a0fd5db7554cd44ff2ee285
https://doi.org/10.1109/icectt50890.2020.00136
https://doi.org/10.1109/icectt50890.2020.00136
Publikováno v:
KSCE Journal of Civil Engineering. 23:420-432
Driving on the curved road is a common task that many drivers routinely performed, but there is an underlying impact on driver behavior and vehicle maneuverability. Previous studies have shown that driving performance (speed and acceleration) and vis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36d555c31d361111bb07ee42471b6dea
https://doi.org/10.1007/s12205-018-1803-y
https://doi.org/10.1007/s12205-018-1803-y
Publikováno v:
Journal of Korean Society of Transportation. 34:560-569
Previous studies show that driver mental workload plays a significant role in the occurrence of traffic accidents. This study also analyzes driving workload under different road conditions especially with the brain wave data collected by a driving si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9529ef9df6606b3a76800f5eccecd812
https://doi.org/10.7470/jkst.2016.34.6.560
https://doi.org/10.7470/jkst.2016.34.6.560