ERI: Rethinking Traffic Flow in the Era of Electric Vehicles with Driver Assistance and Automation

该工程研究启动(ERI)项目将支持基础研究，以帮助了解电动汽车对交通流量和运营的潜在好处，并就电动汽车日益普及的时代对交通规划、交通管理和交通基础设施设计的重要影响提供有价值的见解。与内燃机汽车不同，电动汽车提供了响应迅速且易于接近的性能，因为电动总成可以几乎立即提供峰值扭矩和快速加速，并通过电动马达特有的再生制动立即减速。这些动力总成优势可以使当今先进的驾驶员辅助系统(ADA)和未来的车辆自动化技术更有效地运行，并有可能减少交通拥堵，提高安全性，并减少整个车队的整体能源消耗和排放。最终，这些对运输部门的好处可以提高生产率，增强经济活力和生活质量，减轻对环境的影响，并减少对能源的依赖。该奖项侧重于配备当今商用先进驾驶辅助系统的电动汽车，如自适应巡航控制系统。这项研究将(I)开发标准化程序来收集轨迹层面的经验数据，(Ii)通过使用不同制造商的量产车辆进行现场实验来分析配备自适应巡航控制的电动汽车的综合跟车行为，(Iii)开发新的微观层面的模型来捕捉涵盖全速度范围的跟车行为，以及(Iv)在模拟中实施微观模型以进行前瞻性分析，开发宏观模型，例如基本图，并探索可能对交通控制和管理以及交通安全和排放影响等其他方面的影响。这项研究将使交通从业者和未来的毕业生为车辆自动化和电气化方面的新兴技术做好准备，最终加速将从这项研究中获得的知识应用到现实世界的交通工程实践中。这项研究将为交通研究人员和实践者社区提供宝贵的经验数据集、模型和初步见解。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 Engineering Research Initiation (ERI) project will support fundamental research to help understand electric vehicles’ potential benefit to traffic flow and operations, and to provide valuable insights on the important implications in transportation planning, traffic management, and transportation infrastructure design in an era of increasing electric vehicle adoption. Unlike vehicles with internal combustion engines, electric vehicles offer responsive and easily accessible performance because electric powertrain can deliver peak torque and swift acceleration almost immediately and decelerate immediately via regenerative braking unique to electric motors. These powertrain advantages can enable today’s advanced driver assistance systems (ADAS) and future vehicle automation technologies to operate more efficiently, and potentially reduce traffic congestion, improve safety, and reduce overall energy consumption and emissions of the entire vehicle fleet. Ultimately, these benefits to the transportation sector could improve productivity, enhance economic vitality and quality of life, mitigate environmental impact, and reduce energy dependence.This award focuses on electric vehicles equipped with today’s commercially available Advanced Driver Assistance Systems such as Adaptive Cruise Control. The research will (i) develop standardized procedures to collect empirical data at the trajectory level, (ii) analyze the comprehensive car following behavior of electric vehicles with Adaptive Cruise Control by conducting field experiments using production vehicles from different manufacturers, (iii) develop new microscopic level models to capture the car following behavior that encompasses the full speed range, and (iv) implement the microscopic models in simulation to perform prospective analysis, develop macroscopic models such as the fundamental diagram, and explore possible implications for traffic control and management as well as other aspects such as traffic safety and emissions impacts. The research will prepare transportation practitioners and future graduates for emerging technologies in vehicle automation and electrification to ultimately accelerate the adoption of knowledge gained from this research into real world transportation engineering practice. This research will provide invaluable empirical datasets, models, and initial insights to the community of transportation researchers and practitioners.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.