Multi-Disciplinary Pedestrian-in-the-Loop Simulator

多学科行人在环模拟器

• 批准号: EP/R008833/1
• 负责人: Richard Romano
• 金额: $ 83.21万
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR008833%2F1
• 关键词: Multi; Disciplinary; Pedestrian; Loop; Simulator

Pedestrians represented roughly 24% of road fatalities and 22% of the seriously injured in the UK in 2015 (Department for Transport, Reported Road Casualties Great Britain: 2015, Annual Report). The most commonly recorded factors were: "in accidents where a pedestrian was killed or injured; pedestrian failed to look properly was reported in 59 per cent of accidents. Failed to judge other person's path or speed was the most typical secondary cause." (DfT, 2015)In this context, the increased use of Autonomous Vehicles (AVs) and new urban warning systems that can help monitor and assist pedestrians and their interactions with vehicles has the potential to dramatically reduce road deaths. A major concern, however, is that the AVs and warning systems must be designed to take into account the capabilities and limitations of pedestrians. This project will develop a new pedestrian laboratory to support safe experimental research in a repeatable fashion in which a variety of variables with respect to AV design, warning system design, and intersection configuration can be studied. The experiments can also look at the impacts of a wide range of human factors including age, vision and mobility.The pedestrian laboratory (PEDSIM) will consist of a Virtual Reality (VR) simulator that will allow a participant to experience a variety of urban configurations and interact with new vehicles and urban robots. The pedestrian laboratory will track the participant's performance in a variety of tasks to compare the effectiveness of various designs.What makes the PEDSIM unique in the world is its very high resolution displays combined with its large walkable environment (9 metres by 4 metres) and its integration with driving simulators to test interactions between pedestrians and drivers.As automated and autonomous vehicles get closer to deployment, research into their design and impact has rapidly increased. There are several studies currently funded by the EPSRC that can take immediate advantage of the new research capabilities of the PEDSIM. These include research to evaluate solutions for cooperative interaction of automated vehicles and urban robots with pedestrians and research that will test various lighting conditions and its impact on visibility, trip hazards, and understanding intentions of other pedestrians and vehicles.

2015 年，行人约占英国道路死亡人数的 24% 和重伤人数的 22%（交通部，英国道路伤亡报告：2015 年，年度报告）。最常见的记录因素是：“在导致行人死亡或受伤的事故中；59%的事故中，行人未能正确观察。未能判断他人的路径或速度是最典型的次要原因。” （DfT，2015）在此背景下，自动驾驶汽车（AV）和新型城市预警系统的使用增加，有助于监控和协助行人及其与车辆的互动，有可能大幅减少道路死亡人数。然而，一个主要问题是自动驾驶汽车和警告系统的设计必须考虑到行人的能力和限制。该项目将开发一个新的行人实验室，以可重复的方式支持安全实验研究，其中可以研究与自动驾驶汽车设计、警报系统设计和交叉口配置有关的各种变量。这些实验还可以研究年龄、视力和行动能力等各种人为因素的影响。行人实验室 (PEDSIM) 将由虚拟现实 (VR) 模拟器组成，让参与者体验各种城市配置并与新车辆和城市机器人互动。行人实验室将跟踪参与者在各种任务中的表现，以比较各种设计的有效性。PEDSIM 在世界上独一无二的原因在于其非常高分辨率的显示屏，结合其大型步行环境（9 米 x 4 米）及其与驾驶模拟器集成，以测试行人和驾驶员之间的交互。随着自动化和自动驾驶车辆越来越接近部署，对其设计和影响的研究迅速增加。 EPSRC 目前资助的几项研究可以立即利用 PEDSIM 的新研究能力。其中包括评估自动车辆和城市机器人与行人协作交互解决方案的研究，以及测试各种照明条件及其对能见度、绊倒危险和理解其他行人和车辆意图的影响的研究。

项目成果

Who goes first? a distributed simulator study of vehicle-pedestrian interaction.

• DOI: 10.1016/j.aap.2023.107050
• 发表时间: 2023-04
• 期刊: Accident; analysis and prevention
• 作者: A. Kalantari;Yue Yang;Jorge Garcia de Pedro;Yee Mun Lee;A. Horrobin;Albert Solernou;Christopher Holmes;N. Merat;G. Markkula

Road users rarely use explicit communication when interacting in today's traffic: implications for automated vehicles

• DOI: 10.1007/s10111-020-00635-y
• 发表时间: 2020-06-08
• 期刊: COGNITION TECHNOLOGY & WORK
• 影响因子: 2.6
• 作者: Lee, Yee Mun;Madigan, Ruth;Merat, Natasha
• 通讯作者: Merat, Natasha

Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior

• DOI: 10.1109/tits.2020.3006767
• 发表时间: 2021-09-01
• 期刊: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
• 影响因子: 8.5
• 作者: Camara, Fanta;Bellotto, Nicola;Fox, Charles
• 通讯作者: Fox, Charles

Continuous game theory pedestrian modelling method for autonomous vehicles

自动驾驶车辆连续博弈论行人建模方法

• 发表时间: 2020
• 期刊: Human Factors in Intelligent Vehicles
• 作者: Camara F.

Predicting pedestrian road-crossing assertiveness for autonomous vehicle control

预测行人过马路的自信以实现自动驾驶车辆控制

• DOI: 10.1109/itsc.2018.8569282
• 发表时间: 2018
• 作者: Camara F