I-Corps Teams: Intelligent Driver Assistance System Enabled by Connected Vehicle Technologies

I-Corps Teams：由联网车辆技术支持的智能驾驶辅助系统

• 批准号: 1917024
• 负责人: Wesley Connor
• 金额: $ 5万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-02-15 至 2022-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1917024&HistoricalAwards=false
• 关键词: Corps; Teams; Intelligent; Driver; Assistance

The broader impact/commercial potential of this I-Corps project is to change the way vehicles are driven to save energy, which will reduce fuel consumption and pollution near public roadways. The first iteration of the technology will be in the form of recommendations made to drivers to affect velocity at different points along a route. With the recent advancement to autonomous driver system implementation, this technology can be applied by directly interconnecting with the automated control systems rather than working through driver recommendations. The safety of highways and all roadways will be enhanced with the system to recommend a maximum velocity prior to reaching road curves, preventing tipping and sliding. Furthermore, less maintenance and longer lasting parts on vehicles such as brake replacements, tire replacements, and engine and transmission work will be needed. This will benefit all of society in the form of reduced transportation cost. This I-Corps project is the result of studies done in the field of control systems. Specifically, control systems which optimize velocity to minimize energy consumption over a driving route through the implementation of dynamic programming. The technology uses vehicle characteristics such as mass, air drag coefficients, and motor efficiency, as well as altitude and heading to determine the speed profile which is a minimum for a given route, while still adhering to local speed laws. The technical results which the project is based stems from simulations done in Matlab concerning all these parameters in different situations and environments. The initial simulations have shown a 16% energy saving for city driving in a scenario. The amount of energy saving will be highly situational and will likely vary widely depending on the vehicle studied and circumstances.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目的更广泛的影响/商业潜力是改变车辆的驾驶方式以节省能源，这将减少燃料消耗和公共道路附近的污染。 该技术的第一次迭代将以建议的形式向驾驶员提出，以影响沿着路线不同点的速度。 随着自动驾驶系统实施的最新进展，这项技术可以通过直接与自动控制系统互连而不是通过驾驶员建议来应用。 高速公路和所有道路的安全性将得到加强，该系统将在到达道路弯道之前推荐最大速度，防止倾斜和滑动。 此外，车辆上需要更少的维护和更持久的部件，例如制动器更换，轮胎更换以及发动机和变速器工作。 这将以降低运输成本的形式使全社会受益。 这个I-Corps项目是在控制系统领域进行研究的结果。具体地说，控制系统，优化速度，以尽量减少能源消耗的驱动路线，通过实施动态规划。 该技术使用车辆特性，如质量、空气阻力系数和电机效率，以及高度和航向来确定给定路线的最小速度曲线，同时仍然遵守当地的速度法规。 该项目所基于的技术成果源于在Matlab中进行的关于不同情况和环境下所有这些参数的模拟。 最初的模拟显示，在一个场景中，城市驾驶可以节省16%的能源。 节能量将高度视情况而定，可能会根据所研究的车辆和环境而有很大差异。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。