A dynamic pedestrian route choice model validated in a high density subway station

Martin Stubenschrott; Christian Kogler; Thomas Matyus; Stefan Seer

doi:10.1016/j.trpro.2014.09.036

A dynamic pedestrian route choice model validated in a high density subway station

Martin Stubenschrott, Christian Kogler, Thomas Matyus, Stefan Seer

Digital Resilient Cities

Publikation: Beitrag in Buch oder Tagungsband › Beitrag in Tagungsband ohne Präsentation › Begutachtung

Abstract

Route choice models for pedestrians need to deal with the complexity of dynamic scenarios. Rather than producing a fixed path once a pedestrian is created, the path choice of each pedestrian must be continuously updated with local information. We present a dynamic pedestrian route choice model based on continuous observations of perceived time estimations. In addition we validated our model with real world passenger flow data from a subway station next to Vienna´s largest football Stadium.

Originalsprache	Englisch
Titel	The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014)
Redakteure/-innen	Winnie Daamen, Dorine C. Duives, Serge P. Hoogendorn
Herausgeber (Verlag)	Elsevier
Seiten	376-384
Seitenumfang	9
DOIs	https://doi.org/10.1016/j.trpro.2014.09.036
Publikationsstatus	Veröffentlicht - 2014

Research Field

Ehemaliges Research Field - Mobility Systems

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abstract = "Route choice models for pedestrians need to deal with the complexity of dynamic scenarios. Rather than producing a fixed path once a pedestrian is created, the path choice of each pedestrian must be continuously updated with local information. We present a dynamic pedestrian route choice model based on continuous observations of perceived time estimations. In addition we validated our model with real world passenger flow data from a subway station next to Vienna´s largest football Stadium.",

author = "Martin Stubenschrott and Christian Kogler and Thomas Matyus and Stefan Seer",

year = "2014",

doi = "10.1016/j.trpro.2014.09.036",

language = "English",

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A dynamic pedestrian route choice model validated in a high density subway station. / Stubenschrott, Martin ; Kogler, Christian ; Matyus, Thomas et al.
The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014). Hrsg. / Winnie Daamen; Dorine C. Duives; Serge P. Hoogendorn. Elsevier, 2014. S. 376-384.

Publikation: Beitrag in Buch oder Tagungsband › Beitrag in Tagungsband ohne Präsentation › Begutachtung

TY - CHAP

T1 - A dynamic pedestrian route choice model validated in a high density subway station

AU - Stubenschrott, Martin

AU - Kogler, Christian

AU - Matyus, Thomas

AU - Seer, Stefan

PY - 2014

Y1 - 2014

N2 - Route choice models for pedestrians need to deal with the complexity of dynamic scenarios. Rather than producing a fixed path once a pedestrian is created, the path choice of each pedestrian must be continuously updated with local information. We present a dynamic pedestrian route choice model based on continuous observations of perceived time estimations. In addition we validated our model with real world passenger flow data from a subway station next to Vienna´s largest football Stadium.

AB - Route choice models for pedestrians need to deal with the complexity of dynamic scenarios. Rather than producing a fixed path once a pedestrian is created, the path choice of each pedestrian must be continuously updated with local information. We present a dynamic pedestrian route choice model based on continuous observations of perceived time estimations. In addition we validated our model with real world passenger flow data from a subway station next to Vienna´s largest football Stadium.

U2 - 10.1016/j.trpro.2014.09.036

DO - 10.1016/j.trpro.2014.09.036

M3 - Conference Proceedings without Presentation

SP - 376

EP - 384

BT - The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014)

A2 - Daamen, Winnie

A2 - Duives, Dorine C.

A2 - Hoogendorn, Serge P.

PB - Elsevier

ER -

A dynamic pedestrian route choice model validated in a high density subway station

Abstract

Research Field

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