Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Haris N. Koutsopoulos"'
Publikováno v:
Urban Rail Transit, Vol 9, Iss 3, Pp 266-279 (2023)
Abstract Many urban rail systems operate near capacity given the rapid increase in passenger demand, and unplanned disruptions are unavoidable. From a passenger perspective, the duration of trip delays is a major concern, and passenger trip delays ma
Externí odkaz:
https://doaj.org/article/f3fd2bae491b4f86a3f8e101a1436734
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 3, Pp 551-569 (2022)
This paper proposes a general unplanned incident analysis framework for public transit systems from the supply and demand sides using automated fare collection (AFC) and automated vehicle location (AVL) data. Specifically, on the supply side, we prop
Externí odkaz:
https://doaj.org/article/5295e4aea4734a059dfc68e555da8bbb
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 1, Pp 227-236 (2020)
Despite rapid advances in automated text processing, many related tasks in transit and other transportation agencies are still performed manually. For example, incident management reports are often manually processed and subsequently stored in a stan
Externí odkaz:
https://doaj.org/article/b8e014672a1b4b9596652f00062037df
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
Transit network simulation models are often used for performance and retrospective analysis of urban rail systems, taking advantage of the availability of extensive automated fare collection (AFC) and automated vehicle location (AVL) data. Important
Externí odkaz:
https://doaj.org/article/b3a7c0bc419b4dbfbee4067de8c1783a
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 24:5842-5855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::549a9f6bc293e40bcd2a141a2b543774
https://doi.org/10.1109/tits.2023.3252043
https://doi.org/10.1109/tits.2023.3252043
Publikováno v:
Transportation Science. 57:313-335
This paper proposes an ex post path choice estimation framework for urban rail systems using an aggregated time-space hypernetwork approach. We aim to infer the actual passenger flow distribution in an urban rail system for any historical day using t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5631ef3a5d919345e537bb56ef8dc0bd
https://doi.org/10.1287/trsc.2022.1177
https://doi.org/10.1287/trsc.2022.1177
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:12014-12026
Individual mobility is driven by demand for activities with diverse spatiotemporal patterns, but existing methods for mobility prediction often overlook the underlying activity patterns. Knowledge of activity patterns can improve the performance and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a22726223d2e7bc7dc2a836a9549301
https://doi.org/10.1109/tits.2021.3109428
https://doi.org/10.1109/tits.2021.3109428
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:5106-5115
Short-term demand predictions, typically defined as less than an hour into the future, are essential for implementing dynamic control strategies and providing useful customer information in transit applications. Knowing the expected demand enables tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a60e546ef3903c15b57662d25aa301f
https://doi.org/10.1109/tits.2020.3047047
https://doi.org/10.1109/tits.2020.3047047
Publikováno v:
Reengineering the Sharing Economy ISBN: 9781108865630
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb96eeb93c32b840293feecf9ac55c51
https://doi.org/10.1017/9781108865630.012
https://doi.org/10.1017/9781108865630.012
Publikováno v:
Neural Computing and Applications. 34:4813-4830
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cf6f79612a85cf1cb6d415b7c33f7f5
https://doi.org/10.1007/s00521-021-06669-1
https://doi.org/10.1007/s00521-021-06669-1