Theme 3: Driving Simulation
主题三:驾驶模拟
基本信息
- 批准号:EP/K014145/1
- 负责人:
- 金额:$ 142.89万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2012
- 资助国家:英国
- 起止时间:2012 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Comparable to other vehicle manufacturers, at the initial prototype stage Jaguar Land Rover (JLR) undertakes some 30,000 individual assessments to evaluate the robustness of its vehicle design through the Design Verification Programme (DVP). The Programme for Simulation Innovation (PSI) is fundamentally targeted at improving capability to support such a DVP through testing in a virtual environment. The development of advanced simulation capability along with corresponding virtual processes, methods and tools can support the delivery of new products and concepts to market more quickly and efficiently through the provision of feedback as early as possible into the vehicle design process. If the vision of zero physical prototypes is to be realised, then the process of digital design and verification needs to accurately represent not just the physical dimensions of component and system function, but also the perceptual experience from the driver's and passenger's perspective. Furthermore, the digital design process must be underpinned by a robust development and validation programme. These ambitions drive the academic focus and industrial impact of this Theme in the development of driving simulation as an integral part of PSI. The Theme will develop a modular simulator environment to support virtual prototyping, in which performance characteristics and the interfaces between the vehicle and its occupants can be manipulated. Simulation enjoys many benefits over naturalistic studies with its main advantage being considerable versatility in the configuration of virtual scenarios that exactly match the requirement of a particular verification test. Environmental conditions such as day/night operation, weather conditions and state of the road surface can be changed at will. The parameters of the driven vehicle can be altered: for example suspension design, tyre construction and steering characteristics can be matched to an existing or prototype vehicle. Vehicle interiors, driver support systems and ergonomic design can be evaluated in an inherently safe and repeatable test environment.A well designed, flexible driving simulator with a modularised architecture is integral to the development of a virtual DVP. Theme 3 will provide such a simulation environment within PSI. The University of Leeds Driving Simulator, an existing major research facility made possible through HEFCE's Science Research Investment Fund, and whose functionality is completely under the control of the research team, will form the test-bed for the development. The research team's existing expertise in human perception and behaviour in a virtual driving environment, coordinated with parallel PSI Themes in vehicle analysis, multi-physics and visualisation, will be combined with JLR's existing knowledge-base in Computer Aided Engineering. The goal is to develop a coordinated evaluation tool that has the potential to support agile, cost-effective and efficient manufacturing processes in virtual vehicle design.
与其他汽车制造商相比,捷豹路虎 (JLR) 在最初的原型阶段通过设计验证计划 (DVP) 进行了约 30,000 次单独评估,以评估其车辆设计的稳健性。仿真创新计划 (PSI) 的根本目标是通过在虚拟环境中进行测试来提高支持此类 DVP 的能力。先进仿真能力的开发以及相应的虚拟流程、方法和工具可以通过尽早在车辆设计过程中提供反馈,支持更快、更高效地将新产品和概念推向市场。如果要实现零物理原型的愿景,那么数字设计和验证过程不仅需要准确地表示组件和系统功能的物理尺寸,还需要准确地表示驾驶员和乘客角度的感知体验。此外,数字设计过程必须以强大的开发和验证计划为基础。这些雄心壮志推动了该主题在驾驶模拟开发中的学术关注和行业影响,成为 PSI 的组成部分。该主题将开发一个模块化模拟器环境来支持虚拟原型设计,在其中可以操纵车辆与其乘员之间的性能特征和界面。与自然研究相比,仿真具有许多优势,其主要优点是虚拟场景配置具有相当多的多功能性,完全符合特定验证测试的要求。昼夜运行、天气状况、路面状态等环境条件可随意改变。被驱动车辆的参数可以改变:例如悬架设计、轮胎结构和转向特性可以与现有或原型车辆相匹配。车辆内饰、驾驶员支持系统和人体工程学设计可以在本质上安全且可重复的测试环境中进行评估。设计良好、灵活且具有模块化架构的驾驶模拟器是虚拟 DVP 开发不可或缺的一部分。主题 3 将在 PSI 内提供这样的模拟环境。利兹大学驾驶模拟器是通过 HEFCE 科学研究投资基金建立的现有主要研究设施,其功能完全由研究团队控制,将构成开发的测试平台。研究团队在虚拟驾驶环境中人类感知和行为方面的现有专业知识,与车辆分析、多物理和可视化方面的平行 PSI 主题相协调,将与捷豹路虎现有的计算机辅助工程知识库相结合。目标是开发一种协调评估工具,该工具有可能支持虚拟车辆设计中敏捷、经济高效的制造流程。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Toward the Development of a Driving Simulator Standard and Functionality Matrix
致力于开发驾驶模拟器标准和功能矩阵
- DOI:
- 发表时间:2014
- 期刊:
- 影响因子:0
- 作者:Jamson H
- 通讯作者:Jamson H
Are We There Yet? An Objective Mechanism to Support the Assessment of Driving Simulator Utility.
我们到了吗?
- DOI:
- 发表时间:2014
- 期刊:
- 影响因子:0
- 作者:Boer E.R.
- 通讯作者:Boer E.R.
Assessment of Driving Simulator Utility to Support a Virtual Design Verification Plan
评估驾驶模拟器实用程序以支持虚拟设计验证计划
- DOI:
- 发表时间:2013
- 期刊:
- 影响因子:0
- 作者:Jamson H
- 通讯作者:Jamson H
Development of environments to support 3.0 simulator utility data collection
开发支持 3.0 模拟器实用程序数据收集的环境
- DOI:
- 发表时间:2015
- 期刊:
- 影响因子:0
- 作者:Jamson H
- 通讯作者:Jamson H
Control-Theoretic Attention-Switching Driver Model
控制理论注意力切换驱动模型
- DOI:
- 发表时间:2016
- 期刊:
- 影响因子:0
- 作者:Boer ER
- 通讯作者:Boer ER
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Gustav Markkula其他文献
Validation of human benchmark models for automated driving system approval: How competent and careful are they really?
用于自动驾驶系统审批的人类基准模型的验证:它们到底有多能力强且谨慎?
- DOI:
10.1016/j.aap.2025.107922 - 发表时间:
2025-04-01 - 期刊:
- 影响因子:6.200
- 作者:
Pierluigi Olleja;Gustav Markkula;Jonas Bärgman - 通讯作者:
Jonas Bärgman
Improving models of pedestrian crossing behavior using neural signatures of decision-making
利用决策的神经特征改进行人过街行为模型
- DOI:
10.1016/j.trf.2025.01.047 - 发表时间:
2025-02-01 - 期刊:
- 影响因子:4.400
- 作者:
Siwei Ma;Xuedong Yan;Jac Billington;Matteo Leonetti;Natasha Merat;Gustav Markkula - 通讯作者:
Gustav Markkula
Computational modeling of driver pre-crash brake response, with and without off-road glances: Parameterization using real-world crashes and near-crashes.
驾驶员预碰撞制动响应的计算模型,有或没有越野视线:使用真实世界碰撞和接近碰撞的参数化。
- DOI:
10.31234/osf.io/6nkgv - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Malin Svärd;Gustav Markkula;Jonas Bärgman;Trent Victor - 通讯作者:
Trent Victor
Cyclists’ interactions with professional and non-professional drivers: Observations and game theoretic models
骑自行车者与专业和非专业司机的互动:观察和博弈论模型
- DOI:
10.1016/j.trf.2025.03.026 - 发表时间:
2025-07-01 - 期刊:
- 影响因子:4.400
- 作者:
Ali Mohammadi;Amir Hossein Kalantari;Gustav Markkula;Marco Dozza - 通讯作者:
Marco Dozza
Gustav Markkula的其他文献
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{{ truncateString('Gustav Markkula', 18)}}的其他基金
COMMOTIONS: Computational Models of Traffic Interactions for Testing of Automated Vehicles
COMMOTIONS:用于自动驾驶车辆测试的交通交互计算模型
- 批准号:
EP/S005056/1 - 财政年份:2019
- 资助金额:
$ 142.89万 - 项目类别:
Fellowship
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