Intellectual Route Planning Methods for Realistic Agents' Movement
Author:
Affiliation:
1. eScience Research Institute, ITMO University, Saint Petersburg, Russia
Funder
The Russian Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3386164.3389090
Reference15 articles.
1. Abar S. et al. 2017. Agent Based Modelling and Simulation tools: A review of the state-of-art software. Computer Science Review. Abar S. et al. 2017. Agent Based Modelling and Simulation tools: A review of the state-of-art software. Computer Science Review.
2. Das S. S. Parhi D. R. & Mohanty S. (2018). Insight of a Six Layered Neural Network along with other AI Techniques for Path Planning Strategy of a Robot. Emerging Trends in Engineering Science and Manufacturing (ETESM-2018) IGIT Sarang India. Das S. S. Parhi D. R. & Mohanty S. (2018). Insight of a Six Layered Neural Network along with other AI Techniques for Path Planning Strategy of a Robot. Emerging Trends in Engineering Science and Manufacturing (ETESM-2018) IGIT Sarang India.
3. Hoogendoorn S.P. et al. 2015. Continuum Theory for Pedestrian Traffic Flow: Local Route Choice Modelling and its Implications. Transportation Research Procedia (2015). Hoogendoorn S.P. et al. 2015. Continuum Theory for Pedestrian Traffic Flow: Local Route Choice Modelling and its Implications. Transportation Research Procedia (2015).
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