From Artificial Intelligence to Neural Networks: Technology to Make Cities Smarter
What is a “Smart City” anyway?
While definitions vary, Swisscom provides a comprehensive definition worth sharing, “A Smart City is an urban area that has become more efficient and/or more environmentally friendly and/or more socially inclusive through the use of digital technologies. The goal of a Smart City is to improve its attractiveness to citizens and/or businesses by enhancing or adding city services.” Cities that are attractive have growing tax bases, younger populations, low unemployment and contribute more to the regional economy.
All cities aspire to become ‘smart’. But the term remains elusive – especially when it comes to traffic management. One methodology for developing ‘smart cities’ is the 6-step approach:
- Determine your starting point.
- Identify your objectives.
- Define a set of projects
- Assess the likelihood of each project’s implementation success
- Assess the impact of each project
- Select the most promising project.
Waycare is working with cities, such as Las Vegas, and Tampa, to leverage predictive analytics and deep learning to improve traffic flow and enhance traffic safety. Deep learning is a branch of Machine Learning, which falls under the category of Artificial Intelligence or AI. While the terminology of the technology may be complicated, Waycare provides the users an intuitive and accessible visual interpretation of the outputs, which are generated using these technologies.
Using the six-step method, Waycare works with cities to implement pilot projects, that ultimately become day-to-day state-of-the-art traffic management systems that bring proven results.
In the following blogs, we will discuss and explain a few basic terms that comprise Waycare’s unique technology.
 Source: Smart City: Essentials for City Leaders. Swisscom/IMD, Lausanne, 2016.