Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene
Authors: 
Shusuke Shigenaka, Shunki Takami, Yoshihiko Ozaki, Masaki Onishi, Tomohisa Yamashita, Itsuki NodaAuthors Info & Claims
Pages 2192 - 2194
Abstract
In this paper, we proposed evaluation index considering safety of pedestrian. This evaluation index, it is possible to evaluate all of pedestrian traveling time, unfairness and congestion degree. We also confirm that the guidance control method optimized by CMA--ES can realized better than real guidance.
References
[1]
E. Mas, A. Suppasri, F. Imamura, and S. Koshimura, "Agent-based Simulation of the 2011 Great East Japan Earthquake/Tsunami Evacuation: An Integrated Model of Tsunami Inundation and Evacuation," Journal of Natural Disaster Science, vol. 34, no. 1, pp. 41--57, 2012.
[2]
H. Wang, A. Mostafizi, L. A. Cramer, D. Cox, H. Park, "An agent-based model of a multimodal near-field tsunami evacuation: decision-making and life safety," Transp. Res. Part C: Emerg. Technol, vol. 64, pp. 86--100, 2016.
[3]
T. Takabatake, T. Shibayama, M. Esteban, H. Ishii, and G. Hamano, "Simulated tsunami evacuation behavior of local residents and visitors in Kamakura, Japan," International Journal of Disaster Risk Reduction, vol. 23, pp. 1--14, 2017.
[4]
J. Bangate, J. Dugdale, E. Beck, and C. Adam, "SOLACE a multiagent model of human behaviour driven by social attachment during seismic crisis," In 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM).pp. 1--9, 2017.
[5]
A. Horni, K. Nagel, and K. W. Axhausen, "The Multi-Agent Transport Simulation MATSim," Ubiquity Press, 2016.
[6]
T. Morstyn, A. V. Savkin, B. Hredzak, and H. D. Tuan, "Scalable energy management for low voltage microgrids using multi-agent storage system aggregation," IEEE Transactions on Power Systems, vol. 33, no. 2, pp. 1614--1623, 2018.
[7]
L. Ma, N. Liu, L. Wang, J. Zhang, J. Lei, Z. Zeng, C. Wang, and M. Cheng, "Multi-party energy management for smart building cluster with PV systems using automatic demand response," Energy Build, vol. 121, pp. 11--21, 2016.
[8]
J. Bergstra and Y. Bengio, "Random Search for Hyperparameter Optimization," Journal of Machine Learning Research, vol. 13, pp. 281--305, 2012.
[9]
J. Mockus, "On Bayesian Methods for Seeking the Extremum," Optimization Techniques IFIP Technical Conference Novosibirsk, pp 400--404, 1974.
[10]
N. Hansen, and A. Ostermeier, "Completely Derandomized Self-Adaptation in Evolution Strategies." Evolutionary Computation, vol. 9, no. 2, pp. 159--195, 2001.
[11]
Y. Ozaki, M. Yano, and M. Onishi, "Effective Hyperparameter Optimization Using Nelder-Mead Method in Deep Learning," IPSJ Transactions on Computer Vision and Applications, Nov. 2017.
[12]
J. A. Nelder, and R. A. Mead, "A Simplex Method for Function Minimization," The Computer Journal, vol. 7, pp. 308--313, 1965.
[13]
Fruin - levels of service {Online}. Available: http://www.gkstill.com/Support/crowd-flow/fruin/LoS.html
[14]
T. Yamashita, T. Okada, and I. Noda, "Implementation of Simulation Environment for Exhaustive Analysis of Huge-Scale Pedestrian Flow," SICE Journal of Control, Measurement, and System Integration, vol. 6, no. 2, pp. 137--146, 2013.
Index Terms
- Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene
Recommendations
Pedestrian route choice model based on friction forces
This paper presents a pedestrian route choice model devised to represent the influence of the impedance generated by other pedestrians on the route choice process. This model is inspired by friction force equations, and considers that pedestrians avoid ...
Modeling and simulation of pedestrian behaviors in crowded places
Pedestrian simulation has many applications in computer games, military simulations, and animation systems. A realistic pedestrian simulation requires a realistic pedestrian behavioral model that takes into account the various behavioral aspects of a ...
Measuring Effectiveness of Pedestrian Facilities Using a Pedestrian Simulation Model
ICCSA '09: Proceedings of the International Conference on Computational Science and Its Applications: Part ITransport planners are increasingly focusing on pedestrian facilities in order to enhance public transportation usage and thereby develop sustainable transport systems. Despite becoming a key policy requirement, no tool is yet available to measure the ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
May 2019
2518 pages
ISBN:9781450363099
- General Chairs:
- Edith Elkind,
- Manuela Veloso,
- Program Chairs:
- Noa Agmon,
- Matthew E. Taylor
Sponsors
Publisher
International Foundation for Autonomous Agents and Multiagent Systems
Richland, SC
Publication History
Published: 08 May 2019
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
- New Energy and Industrial Technology Development Organization (NEDO)
Conference
AAMAS '19
Sponsor:
AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems
May 13 - 17, 2019
Montreal QC, Canada
Acceptance Rates
AAMAS '19 Paper Acceptance Rate 193 of 793 submissions, 24%;
Overall Acceptance Rate 1,155 of 5,036 submissions, 23%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 54Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Reflects downloads up to 20 Nov 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in