Taking the stress out of parking in busy cities using AI technology
The University of Bath is developing artificial intelligence to help drivers find parking spaces in busy city centres.
The software will also incentivize drivers to work with local councils seeking to keep pollution in busy city centers within safe limits, in a bid to reduce toxic air in city centres. part of a far-reaching plan.
As urban populations continue to grow (the world’s urban population is expected to more than double between now and 2050, with 7 out of 10 people living in cities), new technologies are used to mitigate pollution and The need for congestion is becoming increasingly urgent. However, any measures to curb car use in cities also need to take into account the needs of people in rural communities, who may rely on cars to access basic services.
The new project is a collaboration between computer scientists in Bath and Chipside Ltd, a leader in parking and traffic management IT. The potential for this new technology to be adopted by councils across the UK is high: Chipside is currently responsible for delivering digital parking permits and cashless parking to over 50% of councils across the UK.
Net zero carbon emissions
In a 2.5-year partnership with Bath, Chipside will develop a suite of software designed to help local councils comply with parking as set out in the government’s ten-point plan, A milestone in urban access and vehicle mobility. Launched in November 2020, the plan uses public and private investment to drive the UK towards its goal of net-zero carbon emissions by 2050.
Under the Environment Act, which becomes law in 2021, local authorities are strongly incentivized to launch "smart city" initiatives such as those proposed in the Bath-Chipsside project, because if they miss out on the environment Target, they are increasingly likely to face hefty fines. An important goal currently being mooted is to keep fine particulate matter (PM2.5) - which originates from the combustion of fuel - within the range recommended by the World Health Organization.
Influence driver behavior
The new project will use the latest artificial intelligence technology to create services that enable local authorities to analyze large amounts of data on driver behavior and better control local travel model.
Dr. Özgür Şimşek, Deputy Director of Computer Science at Bath and Head of the Artificial Intelligence Research Group, will be the academic leader of the project. She explains why it makes sense to develop services to change driver behavior during the last mile into city centres.
“Imagine you go into town on a Thursday morning and, unbeknownst to you, your car is the only engine triggering the town to exceed permitted pollution levels, resulting in a hefty fine from the local government. Now. Imagine that instead of this happening, you receive a suggestion to park in another better place and you get a free parking spot. The system also shows a low-traffic route to the free parking spot. The entire Services will be tailored to your individual needs while also helping to achieve net zero targets.
Dr Tom Haines, Lecturer in Machine Learning in Bath’s Department of Computer Science and a colleague on the KTP team, added: “The project’s An important goal is to make transportation services more responsive to users. Currently, people make decisions, such as where to park, and the government reacts later. The real-time service provides a stream of accumulated but unused data on driving behavior. When we deploy artificial intelligence, we create a dynamic system that adapts to the needs of the driver and environment, ultimately benefiting everyone.
David Wright, Founder of Chipside and Head of Industry at KTP, said: “The new knowledge gained from the partnership will be transformative for our company. It will become an intrinsic part of our future software development strategy, enabling We are able to expand our capabilities and more importantly reduce pollution and manage mobility supply and demand in real time.
This partnership was facilitated by Izaro Lopez Garcia, Business Partnership Manager, Research and Innovation Services (RIS) at the University of Bath , he said: “This project will be the first in the UK for local authorities to share cross-border parking and mobility data in real time. The Chipside system already incorporates cross-border data, and artificial intelligence could go a step further towards achieving the UK government’s net zero target.
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