MRI: Development of iCAVE2 (Instrument for Connected and Autonomous Vehicle Evaluation and Experimentation)

MRI：开发 iCAVE2（联网和自动驾驶车辆评估和实验仪器）

• 批准号: 1626374
• 负责人: Chunming Qiao
• 金额: $ 120万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1626374&HistoricalAwards=false
• 关键词: MRI; Development; iCAVE2; Instrument; Connected

This project, developing an integrated 5-in-1 instrument for connected and autonomous vehicle (respectively, CV and AV) evaluation and experimentation (iCAVE2), addresses open research challenges in surface transportation systems where statistics on accidents and fatalities, congestion, fuel consumptions, and emissions have raised serious concerns. This work addresses a critical societal need related to evaluating and experimenting with the emerging and potentially transformative CV/AV technologies by developing a necessary instrument that can bridge the gap between existing simulators and road testing facilities. The instrument is useful to researchers in academia and IT industry, and developers and decision makers in the auto-manufacturing, auto-insurance and government transportation agencies. Graduate assistants will be trained with hands-on experiences and multi-disciplinary knowledge. The instrument enables expansion of several programs and contributes to the education and training in the STEM fields. Consequently, better driver training and related rehabilitation should be expected.iCAVE consists of: 1. Multiple driving simulators (DS) to conduct human/hardware-in-the-loop experiments in a Virtual Reality (VR), 2. A traffic simulator (TS) whose vehicles can mimic, CVs and AVs move in mixed traffic situations with a fairly realistic traffic environment, 3. A Network Simulator (NS) with realistic wireless communication models to evaluate various Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications technologies, 4. Several Instrumented Vehicles (IVs) including a fully instrumented CV and a AV to conduct real-world experiments and connect data, and 5. An Instrumented Environment (IE) with various traffic sensors and road-side units for V3V/V2I communications covering an area of approximately1.2 square miles with representative urban traffic. The instrumented environment and vehicles provide real-world measurement data to build and calibrate parameters/models for use by the integrated simulators. They can also be used to run CV/AV algorithms and applications to collect data, and evaluate their performance and effectiveness. The instrument will be available to both local and remote users. Its main software module will be developed based on a framework for real-time data distribution, with open APIs and as an open-source project. New designs, technologies, infrastructure, and applications will be evaluated and validated before deployment. This flexible, scalable, safe, and realistic platform, expected to be particularly suitable for answering various "what-if" questions related to safety, efficiency, and sustainability arising from human-automation interactions with not-yet-available technologies and rare/extreme events, is the first-of-its-kind with unprecedented capabilities, not offered by any simulator-based instrument or test-beds in academic, industrial or government-based R&D laboratories. The instrument should also enable activities related to Big Data transportation systems.

该项目开发了用于连接和自动驾驶汽车（分别是CV和AV）评估和实验（ICAVE2）的综合5合1仪器（分别为自动驾驶汽车），该项目涉及地表运输系统中的开放研究挑战，在这些挑战中，有关事故和死亡，交通拥堵，燃料消费以及排放的统计数据引发了严重的关注。 这项工作通过开发一种必要的工具来弥合现有模拟器和道路测试设施之间的差距，以评估和实验新兴和潜在的变革性CV/AV技术有关的关键社会需求。该工具对学术界和IT行业的研究人员以及自动制造，自动保险和政府运输机构的开发人员和决策者很有用。研究生助理将接受动手经验和多学科知识的培训。该仪器可以扩展多个计划，并为STEM领域的教育和培训做出贡献。因此，应预期更好的驾驶员培训和相关的康复。 evaluate various Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications technologies, 4. Several Instrumented Vehicles (IVs) including a fully instrumented CV and a AV to conduct real-world experiments and connect data, and 5. An Instrumented Environment (IE) with various traffic sensors and road-side units for V3V/V2I communications covering an area of​​ approximately1.2 square miles with representative urban 交通。仪器环境和车辆提供了实际测量数据，以构建和校准参数/模型，以供集成模拟器使用。它们还可以用于运行简历/AV算法和应用程序来收集数据，并评估其性能和有效性。该仪器将适用于本地和远程用户。它的主要软件模块将根据用于实时数据分布的框架，开放式API和开源项目开发。在部署之前，将对新设计，技术，基础架构和应用程序进行评估和验证。这个灵活的，可扩展的，安全的和现实的平台，预计将特别适合回答与安全，效率和可持续性有关的各种“假设”问题，这是由于人类自动化与尚不可取的技术和稀有/极端事件的互动而引起的，这是与任何类似的工具或测试人员提供的，无论是在政府方面提供的，都是不久的型能力。该仪器还应启用与大数据运输系统有关的活动。