Do road users play Nash Equilibrium? A comparison between Nash and Logistic stochastic Equilibriums for multiagent modeling of road user interactions in shared spaces
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference76 articles.
1. Abbeel, P., & Ng, A. Y. (2004). Apprenticeship learning via inverse reinforcement learning. In Proceedings of the twenty-first international conference on Machine learning. Alberta, Canada.
2. An agent model of crowd behavior in emergencies;Akopov;Automation and Remote Control,2015
3. Improvement of maneuverability within a multiagent fuzzy transportation system with the use of parallel biobjective real-coded genetic algorithm;Akopov;IEEE Transactions on Intelligent Transportation Systems,2021
4. Modeling pedestrian-cyclist interactions in shared space using inverse reinforcement learning;Alsaleh;Transportation Research Part F: Traffic Psychology and Behaviour,2020
5. Microscopic behavioural analysis of cyclists and pedestrians interactions in shared space;Alsaleh;Canadian Journal of Civil Engineering,2020
Cited by 8 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. Reinforcement learning from suboptimal demonstrations based on Reward Relabeling;Expert Systems with Applications;2024-12
2. Modeling framework of human driving behavior based on Deep Maximum Entropy Inverse Reinforcement Learning;Physica A: Statistical Mechanics and its Applications;2024-10
3. A game-theoretic approach for modelling pedestrian–vehicle conflict resolutions in uncontrolled traffic environments;Accident Analysis & Prevention;2024-08
4. Modelling motorized and non-motorized vehicle conflicts using multiagent inverse reinforcement learning approach;Transportmetrica B: Transport Dynamics;2024-02-17
5. Predicting Pedestrian Crossing Behavior at Unsignalized Mid-Block Crosswalks Using Maximum Entropy Deep Inverse Reinforcement Learning;IEEE Transactions on Intelligent Transportation Systems;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3