PARSER: Parking and AiR pollution SEnsoRs for Smart Cities

Parser是一个工业研究项目，旨在开发一种可扩展的解决方案，以解决城市停车以及空气和噪音污染的综合问题。在寻找停车位时，低速行驶的汽车极大地造成了拥堵和污染。根据英国停车协会的数据，司机平均花5.9分钟寻找停车位，估计每年总计4天。英国议会平均40%的收入来自停车，每个议会也被大力推动展示环境政策监测工具，因为我们的城市和城区将在未来20年见证重大变化和人口迁移。Parser是一种产品，我们认为它满足了真正的城市需求，也可以实现新的、可持续的城市商业模式。我们内在地迫切需要建立新的能源、交通和城市系统，以应对社会挑战，如人口增长和老龄化、城市化和减少碳排放的需要。据估计，到2040年，将有超过70%的人居住在城市地区，城市基础设施和设计将需要彻底改变，以更好地支持市民。新兴的物联网(IoT)技术可以在超局部范围内提供停车占用、交通流量、拥堵和空气质量的感知能力。然而，将这些技术结合起来并开发机器学习分类器来解释数据是一个巨大的挑战。该项目旨在开发一种基于LiDAR的停车监控解决方案，并结合空气和噪声污染传感器。财团合作伙伴Vortex IoT、BT、斯旺西大学和斯旺西委员会将共同开发和部署传感器原型，以在斯旺西市地区的测试地点进行测试。Vertex IoT将带头开发传感器和无线网络，斯旺西大学将专注于机器学习，而斯旺西议会将提供安装服务，并在指定为试点的市中心地区接入BT的街头WiFi。该项目将为所有财团合作伙伴带来显著的出口带动增长、显著的投资回报率、增加就业和进一步的研发投资机会。

"PARSER is an industrial research project developing a scalable solution to the combined problems of urban parking and air and noise pollution. Cars travelling at low speeds while searching for parking spaces contribute greatly to congestion and pollution. According to the British Parking Association drivers take an average 5.9 minutes searching for a parking space adding up to an estimated 4 days per year.On average 40% of UK Councils' revenue is generated through parking and each council is also being pushed heavily to demonstrate environmental policy monitoring tools as our cities and urban areas will witness major change and population shift over the coming 20 years. PARSER is a product we feel hits a genuine urban need that can also enable new and sustainable urban business models.There is an inherent and pressing need to build new energy, transport and urban systems to meet societal challenges such as a growing and ageing population, urbanisation and the need to reduce carbon emissions. _With_ _more than 70% of people estimated to be living in urban areas by 2040, city infrastructure and design is going to need to drastically change to better support its citizens._Emerging internet-of-things (IoT) technologies can offer the ability to sense parking occupancy, traffic flows, congestion and air quality on a hyper-local scale. However, there are significant challenges to combine the technologies and develop the machine learning classifiers to interpret the data. The project aims to develop a LiDAR based parking monitoring solution coupled with air and noise pollution sensors. Together the consortium partners, Vortex IoT, BT, Swansea University and Swansea Council, will develop and deploy prototype sensors to test sites in the Swansea City region. Vortex IoT will take the lead on developing the sensors and wireless networks, Swansea University will focus on machine learning while Swansea Council will provide installation services and access to BT's on-street WIFI across areas of the city centre as designated for pilot.This project will deliver significant export led growth, a substantial ROI, increased employment and further opportunity for R&D investment for all consortium partners."