Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Nigel H. M. Wilson"'
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2673:771-778
Monitoring rail transit system performance is important for effective operations planning. The number of times passengers are denied boarding is becoming a key measure of the impact of near-capacity operations on customers and is fundamental for calc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4843a6c87d980146f770aa5cef3e26a8
https://doi.org/10.1177/0361198119857034
https://doi.org/10.1177/0361198119857034
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2672:75-85
Innovative analyses of origin–destination (OD) data derived from automatic fare collection and automatic vehicle location systems in public transport networks enable planners to gain new insights i...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ff865b447c835be94e65c55c06086e0
https://doi.org/10.1177/0361198118797218
https://doi.org/10.1177/0361198118797218
Publikováno v:
Transportation Research Part C: Emerging Technologies. 90:350-365
Previous research has combined automated fare-collection (AFC) and automated vehicle-location (AVL) data to infer the times and locations of passenger origins, interchanges (transfers), and destinations on multimodal transit networks. The resultant o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bf9e659a784a26259ea2a9cc2f91479
https://doi.org/10.1016/j.trc.2018.03.007
https://doi.org/10.1016/j.trc.2018.03.007
Publikováno v:
Transportation Research Part B: Methodological. 104:522-542
The paper presents a methodology for assigning passengers to individual trains using: (i) fare transaction records from Automatic Fare Collection (AFC) systems and (ii) Automatic Vehicle Location (AVL) data from train tracking systems. The proposed P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::880da029efbfc9b7c940f087ab6c0a88
https://doi.org/10.1016/j.trb.2017.04.012
https://doi.org/10.1016/j.trb.2017.04.012
Publikováno v:
Transportation Research Procedia. 23:362-379
With subway systems around the world experiencing increasing demand, measures such as passengers left behind are becoming increasingly important. This paper proposes a methodology for inferring the probability distribution of the number of times a pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7a3d376202144fd84577e5726337c28
https://doi.org/10.1016/j.trpro.2017.05.021
https://doi.org/10.1016/j.trpro.2017.05.021
Publikováno v:
ITSC
In this paper, we introduce a train following model which can efficiently capture the effects of train interactions in an urban rail line. The train following model is based on the estimation of induced delay for a train closely following a lead trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::810b26c7b5ee9df53ddf8ab3440b86b7
https://doi.org/10.1109/itsc.2019.8917313
https://doi.org/10.1109/itsc.2019.8917313
Publikováno v:
Transportation Research Part C: Emerging Technologies. 123:102896
The paper develops a data-driven approach for the inference of passenger itineraries in urban heavy rail systems, the Passenger Itinerary Inference Model (PIIM). In light of increasing demand and crowding, the model can be used to assess the impact o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::488531211821a5d6171dc760447a0dd8
https://doi.org/10.1016/j.trc.2020.102896
https://doi.org/10.1016/j.trc.2020.102896
Publikováno v:
Public Transport. 9:437-461
Planners must understand how public transportation systems are used in order to make strategic decisions. Smart card transaction data provides vast, detailed records of network usage. Combined with other automatically collected data sources, establis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dc1d2069e6efcf54b9e394d7224073f
https://doi.org/10.1007/s12469-016-0145-8
https://doi.org/10.1007/s12469-016-0145-8
Publikováno v:
Research in Transportation Economics. 59:268-276
Monitoring the service quality of high-frequency bus transit is important both to agencies running their own operations and those contracting out, where performance measures can be used to assess contract penalties or bonuses. The availability of aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d2ea4674172e0aa25d0df37c2a52b83
https://doi.org/10.1016/j.retrec.2016.06.003
https://doi.org/10.1016/j.retrec.2016.06.003
Publikováno v:
Public Transport. 9:285-305
High-frequency transit systems are essential for the socioeconomic and environmental well-being of large and dense cities. The planning and control of their operations are important determinants of service quality. Although headway and optimization-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b89c8524ea6637c11289af23e3632ed
https://doi.org/10.1007/s12469-016-0129-8
https://doi.org/10.1007/s12469-016-0129-8