EMIA - Epi-terrestrial Multi-modal Input Assimilation

极端天气是一个不断升级的城市问题，数百到数千个屏幕显示交通拥堵，行人川流不息。智慧城市系统能否灵活地应对每一个独特的人口，并应对即将到来的城市山洪？缺少的关键是（i）了解屏幕之间每条道路上发生的情况，（ii）如何使所有这些数据与人类城市活动、栖息地和气候变化相关，以及（iii）同步数据，就像成千上万的交通协调员在每条道路上协调一致一样，在下雨、阳光甚至洪水的情况下。EMIA项目旨在做到这一点。它是一个人工智能预测城市洪水的扩展，居住在一个革命性的超级建筑（AIMU）中。与传统的交通监控系统中的机器学习算法不同，EMIA通过从现有的交通监控系统中提取以人为本的参数，并通过整合和分析注册的行车记录仪在频繁道路使用者中传输的视频片段，来重新关注道路安全标准的实施。视频的来源将是匿名的，任何不合适的视频将在传输前自动删除。此外，EMIA还建议将新加坡和虚拟新加坡的现有LIDAR点云数据转换为AI驱动的高清晰度结构，可以在AIMU中与人类和AI进行交互。这种新方法可以更快地转换和更容易地自动同化和计算城市基础设施的变化，海岸侵蚀，交通改道和洪水灾害中的疏散，特别是在易受气候变化影响的城市。EMIA将在AIMU超级结构中融合交通大数据，以实现同步和数据交互，因此这种新形式的城市AI将有助于优化交通的半监督计算。这些努力实现了17个联合国可持续发展目标中的6个。拟议的项目为期2.5年，其最终产品可以立即添加到我们的产品中，提供给现有的客户名单，或通过其独特的普遍性和可持续性可商业化的独立实体。该项目由Citymatrix Pte Ltd（新加坡）和Interactive Coventry Ltd（英国）共同合作，双方共同进行研究和开发，相互进行技术转让和能力建设。

Extreme weather is an escalating urban issue while hundreds to thousands of screens showing traffic congestion with streams of pedestrians sprawling across. Can a smart city system flexibly react to every unique population and deal with impending urban flash floods?The missing keys are (i) knowing what happens on every road between the screens, (ii) how to make all these data relevant to human urban activity, habitat and climate change, and (iii) synchronize the data as intrinsically as hundreds of thousands of traffic coordinators coordinating in unison on every road, under rain sunshine or even flooding.The EMIA project is designed to do that. It is an extension from an AI forecasting urban flooding residing within a revolutionary superconstruct (AIMU). AIMU assimilates digital twin and makes it legible to AI, while staying geo-topologically accurate and relevant.Unlike conventional machine learning algorithms in traffic CCTV, EMIA proposes a refocus of implementing road safety standards by extracting human centric parameters from existing traffic CCTV, as well as extending the reach of information by incorporating and analyzing video footage transmitted from enrolled dashcams among frequent road users. The source of the footage will be anonymized, and any unsuitable footage will be automatically deleted prior to transmission. The participants will be encouraged by an innovative reward system during the development period.In addition, EMIA proposes AI-powered conversion of existing LIDAR points cloud data of Singapore and Virtual Singapore into a High-Definition structure that can be interactive with humans and AI within the AIMU. This new approach enables faster conversion and easier automatic assimilation and computation of change in urban infrastructure, coastal erosion, traffic diversion and evacuation in a flooding disaster especially in cities susceptible to climate change.Finally, EMIA will mesh the traffic Big Data in the AIMU superconstruct for synchronization and data interaction so that this new form of city AI will be useful for semi-supervised computation for optimized traffic. These efforts fulfil 6 of 17 United Nation Sustainable Development Goals.The proposed project is 2.5 years and its end product can be immediately added to our product offering to existing list of clients, or an independent entity commercializable by its unique universality and sustainability. The proposed project is a joint effort under the collaboration of Citymatrix Pte Ltd (Singapore) and Interactive Coventry Ltd (UK) with research and development conducted by both parties, mutual technology transfer and capacity building.