Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ximan Ling"'
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0202707 (2018)
Passenger flow prediction is important for the operation, management, efficiency, and reliability of urban rail transit (subway) system. Here, we employ the large-scale subway smartcard data of Shenzhen, a major city of China, to predict dynamical pa
Externí odkaz:
https://doaj.org/article/75d87c987743405d90ee612decd8f7f6
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:19534-19543
In many cities, subways are expanding with new or extended lines being built and put into operations. The prediction of future travel demand in subway with the planned expansion is of significant importance because such information is crucial for new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9de9a36ce13bf5abe2ead99f3af2ba44
https://doi.org/10.1109/tits.2022.3166669
https://doi.org/10.1109/tits.2022.3166669
Publikováno v:
IET Intelligent Transport Systems. 14:1987-1996
Machine learning models have been widely adopted for passenger flow prediction in urban metros; however, the authors find machine learning models may underperform under anomalous large passenger flow conditions. In this study, they develop a predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d14fce81ad6a3a388a6fb3784b5f0a86
https://doi.org/10.1049/iet-its.2020.0054
https://doi.org/10.1049/iet-its.2020.0054
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 512:1152-1159
Railway plays an indispensable role in long-distance passenger transport. Here, we investigate train exposure time to bad weather and its influence on an important railway operation problem, train delay. We find that train delay is more likely to occ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18d4535dd3ec165970ddc6109adb40b1
https://doi.org/10.1016/j.physa.2018.07.057
https://doi.org/10.1016/j.physa.2018.07.057
Publikováno v:
Transportation Research Part C: Emerging Technologies. 96:251-269
Even though a variety of human mobility models have been recently developed, models that can capture real-time human mobility of urban populations in a sustainable and economical manner are still lacking. Here, we propose a novel human mobility model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4416cafcf9ef8bd3a293fd0fbec0fb7c
https://doi.org/10.1016/j.trc.2018.09.016
https://doi.org/10.1016/j.trc.2018.09.016
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 457:356-363
Large structure in complex networks can be studied by dividing it into communities or modules. Urban traffic system is one of the most critical infrastructures. It can be abstracted into a complex network composed of tightly connected groups. Here, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d124fbf0754b2471670f02aec7f56b7
https://doi.org/10.1016/j.physa.2016.03.036
https://doi.org/10.1016/j.physa.2016.03.036
Publikováno v:
International Journal of Modern Physics B. 33:1950094
Urban bus transit is a major mode of transportation in modern cities and plays an important role in mitigating the traffic pressure in urban road networks. We used smartcard data collected by three-million bus passengers in Shenzhen, a major southern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd75947b26d28cbfd4db0ea99b3a1e53
https://doi.org/10.1142/s0217979219501017
https://doi.org/10.1142/s0217979219501017