SCC-PG: PILOT FOR EQUITABLE ELECTRIC MOBILITY: Smart Charging, Smart Parking, and METRO Pass System

这个位于休斯顿西南部的S CC项目与社区和商业技术合作伙伴建立了一个合作流程，其总体目标是利用早期电动汽车（EV）采用者区域市场，加速低收入家庭可访问的快速充电基础设施和EV所有权的公平发展。该项目的新奇之处在于社区驱动的参与式方法，该方法整合了社会和技术层面，为电动汽车所有权和智能公共交通的电气化带来了变革。这将通过一个数据驱动的模型来实现，该模型集成了微交通、固定路线交通和拼车服务的实时数据，可以预测和克服交通状况的不确定性，从而导致出行时间不确定和可靠性差。一个参与过程建立了合作关系，确定了采用者指标，并为公平的电动汽车所有权和公交乘客提供了激励措施。该项目将产生一个实施智能交通枢纽的模板和框架，可以作为最佳实践重新应用于哈里斯县的其他大都会交通管理局（METRO）设施或其他交通系统。更好地获得新的电动交通技术需要减少电动汽车所有权和运输服务的经济障碍。社区需要积极规划交通技术，以改善低收入社区的生活，同时降低排放，增加交通使用，减少拥堵。知识优势包括新兴数据分析、智能技术和机器学习的应用，以应对公平获得电动汽车所有权和电动汽车的国家挑战。该项目使用人工神经网络构建模型，以捕获复杂的非线性现象和参数数据，用于实时决策。更广泛的项目影响包括开发数字生态系统和激励计划，反映国家需要刺激公平获得电动汽车所有权;区域政策影响，展示城市，电动汽车公司，快速充电开发商和乘车服务之间的合作伙伴关系;以及研究，开辟了使用数据的机会电动汽车对能源电网的影响和未来的智能电网研究。该项目将确定智能技术的部署如何提高交通服务的可靠性、舒适性和可负担性。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。

This S&CC project in southwest Houston establishes a collaborative process with community and commercial technology partners with an overall aim to leverage early Electric Vehicle (EV) adopter regional markets to accelerate equitable development of accessible fast charging infrastructure and EV ownership for low income families. The novelty of the project lies in a community-driven participatory approach that integrates both social and technical dimensions bringing transformational change to EV ownership and electrification of smart public transportation. This will be achieved by a data-driven model that integrates of real-time data for micro-transit, fixed-route transit, and carpooling services can predict and overcome the uncertainties of traffic conditions resulting in uncertain travel times and poor reliability. An engaging process establishes collaborative relationships, identifies adopter indicators, and incentives for equitable EV ownership and transit ridership. The project will result in a templet and framework for implementing smart transit hubs that can be reapplied at other Metropolitan Transit Authority of Harris County (METRO) facilities or to other transit systems as best practices.Greater access to new electric mobility technologies requires reduction in economic barriers to EV ownership and transportation services. Communities need to proactively plan for transportation technologies to improve the lives of low-income communities while lowering emissions, increasing transit use, and reducing congestion. The intellectual merits include application of emerging data analytics, smart technologies, and machine learning to tackle a national challenge of equitable access to EV ownership and electric mobility. The project builds a model using artificial neural networks to capture complex, non-linear phenomena and parameterize data for real-time decision making. The broader project impacts include developing a digital ecosystem and incentive programs reflecting the national need to stimulate equitable access to EV ownership; regional policy impact demonstrating collaborative partnerships between cities, EV companies, fast charging developers, and ridesharing services; and research that opens up opportunities to use the data for EV impacts on the energy grid and future smart grid research. This project will identify how the deployment of smart technologies can improve the reliability, comfort, and affordability of transit services.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.