2026-07-20T01:16:57Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/70462024-05-20T07:45:25Zcom_10259.4_104com_10259_2604col_10259_6848
Repositorio Institucional de la Universidad de Burgos
author
López, David
author
Lozano, Angélica
2022-09-23T07:12:36Z
2022-09-23T07:12:36Z
2021-07
978-84-18465-12-3
http://hdl.handle.net/10259/7046
10.36443/10259/7046
In rush hours, the onboard crowd level within transit vehicles is a problem of any large city.
At the expense of time savings, some users will avoid riding crowded lines if they consider
that transit vehicles do not have enough personal space. This paper presents a hypergraph
model and an algorithm to find multimodal shortest hyperpaths considering the user
constraints on the sequence of boarded modes and their preferences of onboard crowding
levels. It is assumed that transit inter-arrivals are random. A penalty for riding transit
vehicles is defined to model how the users perceive the onboard crowd levels. This penalty
depends on the onboard crowd levels and the seating capacity of the vehicles. A stateautomaton
is used to model the user constraints on the sequence of boarded modes. To find
the shortest hyperpaths, the user selects their origin, destination, the maximum number of
modal transfers, and the onboard crowd level threshold. A use case on a sample multimodal
network is presented.
eng
Tráfico
Transporte público
Logística
Traffic
Public transport
Logistics
Multimodal shortest hyperpaths considering crowding in transit vehicles
info:eu-repo/semantics/conferenceObject
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URL
https://riubu.ubu.es/bitstream/10259/7046/1/L%c3%b3pez_CIT2021_3335-3353.pdf
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López_CIT2021_3335-3353.pdf