Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jufen Yang"'
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 3, p 82 (2024)
Under the development of intelligent network technology, drivers can obtain the surrounding traffic situation in real time, which is conducive to improving the stability of traffic flow. Therefore, this paper proposes a new curve-car-following model
Externí odkaz:
https://doaj.org/article/6ba338038f40447187dd834d306fb857
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2018 (2018)
Multistep prediction of traffic state is a key technology for advanced transportation information system. The research results based on the principle of multistep prediction can provide more information about the traffic operating quality in advance.
Externí odkaz:
https://doaj.org/article/5669dc26ff794f12918509e9b237a27b
Publikováno v:
Advances in Mechanical Engineering, Vol 9 (2017)
Short-term traffic volume forecasting is widely recognized as an important element of intelligent transportation systems, because the accuracy of predictive methods determines the performance of real-time traffic control and management to some extent
Externí odkaz:
https://doaj.org/article/6e77fda7036342788657c3cfad7176cf
Publikováno v:
Resilience and Sustainable Transportation Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fdf151eea805614dcdb380914659797
https://doi.org/10.1061/9780784482902.036
https://doi.org/10.1061/9780784482902.036
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2018 (2018)
Multistep prediction of traffic state is a key technology for advanced transportation information system. The research results based on the principle of multistep prediction can provide more information about the traffic operating quality in advance.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a642a2a718ecc5a67dca137328783160
https://doaj.org/article/5669dc26ff794f12918509e9b237a27b
https://doaj.org/article/5669dc26ff794f12918509e9b237a27b
Publikováno v:
Advances in Mechanical Engineering, Vol 9 (2017)
Short-term traffic volume forecasting is widely recognized as an important element of intelligent transportation systems, because the accuracy of predictive methods determines the performance of real-time traffic control and management to some extent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::254602eec72f79f5a49089ecc94e0b66
https://doaj.org/article/6e77fda7036342788657c3cfad7176cf
https://doaj.org/article/6e77fda7036342788657c3cfad7176cf
Autor:
Guiyan Jiang, Jufen Yang
Publikováno v:
Transportation Research Part C: Emerging Technologies. 47:168-178
Route choice models have important theoretical value and practical significance for the systematic analysis of urban transportation. The method utilized to determine the reference point of travel time by considering the restrictions on reserved trave
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c60c2bdc16ad83038c6d4068942972e
https://doi.org/10.1016/j.trc.2014.06.009
https://doi.org/10.1016/j.trc.2014.06.009
Publikováno v:
Human Molecular Genetics. 15:1870-1875
A transmembrane protein gene, c1orf37-dup, was identified as a young gene specific to humans. It was derived from the conserved c1orf37 gene through retroposition after the divergence of human and chimpanzee. This gene has evolved rapidly driven by p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65db70637c444fecb9568062dbfaa8e7
https://doi.org/10.1093/hmg/ddl109
https://doi.org/10.1093/hmg/ddl109
Publikováno v:
ICTIS 2013.
In order to better describe the travel route choice behavior in uncertain environments, a travel route choice model was proposed under the conditions of real-time traffic information. Based on the cumulative prospect theory (CPT), it analyzed the psy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d13218d4b40461cf332ba2a207480af2
https://doi.org/10.1061/9780784413036.127
https://doi.org/10.1061/9780784413036.127
Publikováno v:
ICTIS 2013; 2013, p941-947, 7p