Hybrid Dynamic Route Planning Model for Pedestrian Microscopic Simulation at Subway Station
Joint Authors
Gao, Yongxin
Chen, Feng
Wang, Zijia
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-17
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
To make agents’ route decision-making behaviours as real as possible, this paper proposes a layered navigation algorithm, emphasizing the coordinating of the global route planning at strategic level and the local route planning at tactical level.
Specifically, by an improved visibility graph method, the global route is firstly generated based on static environment map.
Then, a new local route planning (LRP) based on dynamic local environment is activated for multipath selection to allow pedestrian to respond changes at a real-time sense.
In particular, the LRP model is developed on the basis of a passenger’s psychological motivation.
The pedestrians’ individual preferences and the uncertainties existing in the process of evaluation and choice are fully considered.
The suitable local path can be generated according to an estimated passing time.
The LRP model is applied to the choice of ticket gates at a subway station, and the behaviours of gate choosing and rechoosing are investigated.
By utilizing C++, the layered navigation algorithm is implemented.
The simulation results exhibit agents’ tendency to avoid congestion, which is often observed in real crowds.
American Psychological Association (APA)
Gao, Yongxin& Chen, Feng& Wang, Zijia. 2019. Hybrid Dynamic Route Planning Model for Pedestrian Microscopic Simulation at Subway Station. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1169935
Modern Language Association (MLA)
Gao, Yongxin…[et al.]. Hybrid Dynamic Route Planning Model for Pedestrian Microscopic Simulation at Subway Station. Journal of Advanced Transportation No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1169935
American Medical Association (AMA)
Gao, Yongxin& Chen, Feng& Wang, Zijia. Hybrid Dynamic Route Planning Model for Pedestrian Microscopic Simulation at Subway Station. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1169935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169935