PARSER: Parking and AiR pollution SEnsoRs for Smart Cities

“PARSER是一个工业研究项目，为城市停车、空气和噪音污染的综合问题开发可扩展的解决方案。汽车在寻找停车位时以低速行驶，极大地造成了交通堵塞和污染。根据英国停车协会的数据，司机平均花5.9分钟寻找一个停车位，加起来估计每年要花4天时间。英国议会平均40%的收入来自停车，每个理事会也被大力推动，以展示环境政策监测工具，因为我们的城市和城市地区将在未来20年内见证重大变化和人口转移。PARSER是一款我们认为能够满足城市需求的产品，同时也能够实现新的可持续城市商业模式。我们迫切需要建立新的能源、交通和城市系统，以应对人口增长和老龄化、城市化以及减少碳排放等社会挑战。到2040年，预计将有超过70%的人口生活在城市地区，城市基础设施和设计将需要大幅改变，以更好地支持其公民。新兴的物联网（IoT）技术可以提供在超本地范围内感知停车场占用率、交通流量、拥堵和空气质量的能力。然而，将这些技术联合收割机并开发机器学习分类器来解释数据存在重大挑战。该项目旨在开发基于LiDAR的停车监控解决方案，并结合空气和噪音污染传感器。该联盟的合作伙伴Vortex IoT、英国电信、斯旺西大学和斯旺西理事会将共同开发原型传感器，并将其部署到斯旺西市地区的测试场地。Vortex物联网将率先开发传感器和无线网络，斯旺西大学将专注于机器学习，而斯旺西理事会将提供安装服务，并在市中心指定的试点区域接入BT的街道无线网络。该项目将为所有财团合作伙伴带来显著的出口导向型增长，可观的投资回报率，增加就业机会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."