Urban engineers face a challenge when it comes to planning new neighborhoods, roads, and public buildings due to limited information about resources, infrastructure, and energy options in the area. This lack of information leads to longer work times on projects and frequent rejections by municipalities. As a result, construction and development times are extended, and operation and maintenance costs increase over time.
To address this issue, a project has been developed that uses AI and self-learning capabilities to create a real-time energy map of cities. This software will help urban engineers make more informed decisions when planning projects, ultimately reducing costs and carbon footprints. The director of sustainability projects at the Weitz Center for Sustainable Development highlights the importance of collecting real-time data from the field to avoid an “energy blind spot” during the planning process. The software aims to provide a continuous and automatically updated solution for municipalities to improve project efficiency and sustainability.
The project will debut at the MUNI-EXPO 2024 conference, a local government event showcasing innovative products and solutions that will transform urban spaces in Israel and worldwide. The Weitz Center will also announce a call for local authorities to participate in building the energy mapping software for their cities, with the winning municipality receiving the software free of charge. This initiative aims to encourage other cities to adopt similar technologies for more efficient and sustainable urban development.
In summary, urban engineers face challenges when planning new developments due to limited information about resources, infrastructure
