PFI-TT: Local Sensing on Automated Vehicles

这个创新-技术转化伙伴关系(PFI-TT)项目为自动化车辆创造了新技术，可以改善每个人的交通状况。今天在美国销售的大多数车辆都将自适应巡航控制作为标准或可选功能。这些系统是为安全和驾驶舒适而设计的，但它们没有能力消除其他司机造成的交通拥堵。该项目将创造一种车辆技术，允许自动车辆根据前方的交通状况自动安全地改变速度，从而释放自适应巡航控制系统的潜力，以最大限度地减少交通堵塞，而不是加剧交通堵塞。其社会效益包括减少能源消耗和提高安全性。该项目的商业影响将包括新的车载安全功能，这些功能将成为不断扩大的车辆到基础设施连接市场的一部分。该项目将创造一种技术，自动拒绝用于交通波浪平滑自适应巡航控制系统的错误交通信息，从而使系统能够安全部署。该项目将展示测量车辆周围交通状况并估计安全封套的能力，该安全封套确定车辆行驶的安全和社会可接受的速度。这项研究的目标包括对这一能力进行足够详细的验证和记录，以使车辆制造商能够进行商业化。该方法将包括使用智能高速公路基础设施的测试数据来验证系统设计。该项目还将在装有股票传感器的商用车上实施开发的技术，该车将在美国一条多车道的高速公路上进行开放道路测试，以展示在更大车辆上实施的有效性。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This Partnerships for Innovation - Technology Translation (PFI-TT) project creates new technologies for automated vehicles that can improve traffic for everyone. The majority of vehicles available for sale today in the United States have adaptive cruise control as a standard or optional feature. These systems are designed for safety and driver comfort, but they do not have the ability to smooth out traffic jams created by other drivers. This project will create a vehicle technology that will allow automated vehicles to automatically and safely change their speeds based on traffic conditions ahead, thereby unlocking the potential for the adaptive cruise control system to minimize traffic jams rather than contribute to them. The societal benefits include reduced energy use and increased safety. The commercial impact of the project will include new on-board safety features that will be part of the expanding market for vehicle-to-infrastructure connectivity.This project will create a technology to automatically reject erroneous traffic information used in traffic wave-smoothing adaptive cruise control systems, thereby enabling the systems to be safely deployed. The project will demonstrate an ability to measure traffic conditions around the vehicle and estimate a safety envelope that determines safe and socially acceptable speeds for the vehicle to travel. The goals of the research include verification and documentation of the capability, in sufficient detail to allow commercialization by vehicle manufacturers. The approach will include the use of testing data from smart freeway infrastructure to validate the system design. The project will also implementation the developed technologies on a commercial vehicle with stock sensors, which will drive on a multi-lane United States freeway in open-road tests to demonstrate the effectiveness of the implementation on larger vehicles.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.