The software will also incentivise drivers to cooperate with local councils in their quest to keep pollution within safe limits in busy urban centres, as part of a far-reaching programme designed to reduce toxic air in city centres.
As city populations continue to grow (it’s expected that the world’s urban population will 两倍多 从现在到2050年, 十分之七的人住在城市), the need to use new technology to mitigate pollution and congestion becomes ever more pressing. 然而, any measures introduced to curb the use of cars in cities will also need to factor in the needs of people from rural communities who may rely on their cars to access essential services.
The new project is a collaboration between computer scientists at Bath and Chipside有限公司, a leader in the world of parking and traffic management IT. The potential for the new technology to be adopted by councils across the UK is high: currently, Chipside is responsible for supplying digital parking permits and cashless parking to over 50% of councils in the UK.
在它的过程中.与黄金城集团合作5年, Chipside will develop a suite of software designed to help local councils comply with milestones on parking, 城市通道和车辆运动, 如政府所示 10点计划. 这个计划, 于2020年11月推出, is using public and private investment to nudge the UK towards reaching its objective of net-zero carbon emissions by 2050.
根据环境法, 哪项在2021年成为法律, local governments are strongly incentivised to roll out ‘smart city’ initiatives such as those proposed in the Bath-Chipside project, as increasingly they will likely face heavy fines if they miss environmental targets. One important target currently being proposed is to keep fine particulate matter (PM2.5) – which originates from the combustion of fuel – within limits recommended by the World Health Organisation.
The new project will use the latest AI technology to create services that allow local authorities to analyse vast amounts of data on driver behaviour and to better control local travel patterns.
博士OzgurŞimş艾克, deputy head of Computer Science at Bath and leader of the Artificial Intelligence 研究 Group, 是这个项目的学术带头人吗. She explains why it makes sense for services to be developed to change driver behaviour during the last mile of their journey into an urban centre.
“Imagine you are travelling into town on a Thursday morning and without you knowing it, your car is the one engine that triggers the town to go over the allowed pollution level, resulting in a big fine for the local government. Now imagine that instead of this happening, you receive a suggestion to park in another, 更好的地方, 而且你有一个免费停车位. You’re also shown a low-traffic route to your free parking space. The whole service would be tailored to your individual needs while also helping towards net-zero objectives.”
汤姆·海恩斯博士, a lecturer in machine learning from Bath’s Department of Computer Science and fellow member of the KTP team, added: “An important aim of the project is to make transport services more responsive to the user. Currently, people make decisions, such as where to park, and the government reacts later. Realtime services provide a stream of data that’s being accumulated on driving behaviour but not used. 在部署人工智能, 黄金城集团创造了一个动态系统, able to adapt to the needs of drivers and the environment, 最终是为了大家的利益.”
大卫赖特, Founder of Chipside and industrial supervisor for the KTP, says: “The new knowledge gained from the partnership will be transformational for our company. It will form an intrinsic part of our software development strategy for the future, allowing us to expand our capabilities and more importantly reduce pollution and manage mobility supply and demand in real-time.”
Izaro Lopez Garcia, the business partnerships manager in 研究及创新服务 (RIS) at the 英国黄金城集团黄金城集团 who facilitated the partnership says: “This project will be a UK first for local government sharing parking and movement data across borders in real-time. Chipside systems already contain data across those borders and AI can take it a step further in achieving UK government net zero objectives”.
The Bath-Chipside venture is being funded by an Innovate UK 知识转移关系 (KTP). KTPs help businesses improve their competitiveness and productivity through the better use of knowledge, technology and skills within the UK knowledge base.