Zobrazeno 1 - 10
of 760
pro vyhledávání: '"Haris N"'
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:
Journal of Public Transportation, Vol 26, Iss , Pp 100107- (2024)
The paper discusses the key insights gained from “GoSutton”, a Demand Responsive Transit (DRT) trial in the borough of Sutton in the suburbs of London during 2019–2020. The DRT service expands mobility options for the residents of the service a
Externí odkaz:
https://doaj.org/article/d1dfc71cca5142bab1afa8e5cb9a2ad0
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
Autor:
Zhuang, Dingyi, Wang, Qingyi, Zheng, Yunhan, Guo, Xiaotong, Wang, Shenhao, Koutsopoulos, Haris N, Zhao, Jinhua
Transportation mode share analysis is important to various real-world transportation tasks as it helps researchers understand the travel behaviors and choices of passengers. A typical example is the prediction of communities' travel mode share by acc
Externí odkaz:
http://arxiv.org/abs/2405.14079
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
We consider the problem of traffic accident analysis on a road network based on road network connections and traffic volume. Previous works have designed various deep-learning methods using historical records to predict traffic accident occurrences.
Externí odkaz:
http://arxiv.org/abs/2311.00164
Understanding passengers' path choice behavior in urban rail systems is a prerequisite for effective operations and planning. This paper attempts bridging the gap by proposing a probabilistic approach to infer passengers' path choice behavior in urba
Externí odkaz:
http://arxiv.org/abs/2301.03808
Commuting is an important part of daily life. With the gradual recovery from COVID-19 and more people returning to work from the office, the transmission of COVID-19 during commuting becomes a concern. Recent emerging mobility services (such as ride-
Externí odkaz:
http://arxiv.org/abs/2301.02594
This paper proposes a stochastic framework to evaluate the performance of public transit systems under short random service suspensions. We aim to derive closed-form formulations of the mean and variance of the queue length and waiting time. A bulk-s
Externí odkaz:
http://arxiv.org/abs/2301.00918