A unified pedestrian routing model for graph-based wayfinding built on cognitive principles-Reference-Cited by-同舟云学术

A unified pedestrian routing model for graph-based wayfinding built on cognitive principles

Published:2017-04-09 Issue:5-6 Volume:14 Page:406-432
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Kielar Peter M.¹,Biedermann Daniel H.¹,Kneidl Angelika²,Borrmann André¹

Affiliation:

1. Chair of Computational Modeling and Simulation, Technische Universität München, Germany

2. accu:rate GmbH Institute for crowd simulation, München, Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2017.1309472

Reference54 articles.

1. Andresen, E., D. Haensel, M. Chraibi, and A. Seyfried. 2016. “Wayfinding and Cognitive Maps for Pedestrian Models.” In Proceedings of the 11th Conference on Traffic and Granular Flow, 249–256. Netherland: Springer International Publishing.

2. Angus, D., T. Hendtlass, and M. Ali. 2002. “Ant Colony Optimisation Applied to a Dynamically Changing Problem.” In Developments in applied artificial intelligence: 15th international conference on industrial and engineering applications of artificial intelligence and expert systems (IEA/AIE 2002), Cairns, Australia, 618–627.

3. Biedermann, D. H., F. Dietrich, O. Handel, P. M. Kielar, and M. Seitz. 2015. Using Raspberry Pi for scientific video observation of pedestrians during a music festival. Germany: Technische Universität München.

4. Biedermann, D. H., P. M. Kielar, and A. Borrmann. 2015. “Oppilatio - The Forecast of Crowd Congestions on Street Networks During Public Events.” Proceedings of the 11th conference on traffic and granular flow, Nootdorp, the Netherland.

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Consideration of Human Vision in Crowd Simulations;IEEE Transactions on Intelligent Transportation Systems;2024

2. A cognitive-based routing algorithm for crowd dynamics under incomplete or even incorrect map knowledge;Intelligenza Artificiale;2023-06-07

3. Simulating travel paths of construction site workers via deep reinforcement learning considering their spatial cognition and wayfinding behavior;Automation in Construction;2023-03

4. Neighbourhood-level pedestrian navigation using the construal level theory;Environment and Planning B: Urban Analytics and City Science;2023-02-24

5. Modeling of crowd groups with an extended social field model;Journal of Statistical Mechanics: Theory and Experiment;2023-01-01