AI-based Traffic and City Mobility Solutions
MindSphere Application Center for Connected Mobility
The ITS Digital Lab uses artificial intelligence and machine learning to develop new applications that help cities unravel their toughest mobility problems. The goal is to turn the overwhelming amount of data that each agency faces, understand the insights the data points to and turn that into recommendations or actions.
We work closely on your specific use cases and believe in the high value of a co-creation approach with you, our customer.
The common goal is to generate a Minimal Viable Product (MVP) that provides unique value to our customer. Building on the MVP, we may jointly decide to further enhance the solution or service in alignment with your needs and to continuously integrate it into your operational environment as a service provided by Siemens Mobility.
We offer an increasing depth of added value in line with your businesses requirements.
With new advances on Connected and Autonomous Vehicles (CAV) technology and increased penetration rate agencies are looking at innovative ideas to maximize their investments into CAV infrastructure. New applications, based in Machine Learning, can the data collected from those CAVs into solutions that help end-users optimize traffic operations and increase the safety on the road network.
One ingenue solution was developed in collaboration between Tampa Hillsborough Expressway Authority and the ITS Digital Lab to detect the length of the queue on the exit ramp and proactively implement safety measures such as automatically generating driver advisory safety messages.
How we create value
We create a Minimal Viable Product (MVP), delivering the core functionalities in a staged co-creation process with our customers. Over the whole process, we live by the philosophy "fail fast, learn fast", hence we conduct rapid prototyping with our customers to built quickly that provides unique value early on.
Ideation is the first creational step towards a solution for our customer’s problem. It is based on the problem statement and aims to jointly develop a vision of the solution and the initial requirements. In close collaboration with the customer we prioritize the different ideas in a design thinking approach in order to arrive at one coherent vision of the solution.
Once we have developed the vision and requirements, we work towards a first concrete representation of the solution. This gives us the opportunity to specify the very core of its functionality, review if the solution is effective at addressing the agreed use cases and allows any required changes to be made at an early stage before entering the next phase of the rapid prototyping process. After the experience journey we then jointly decide whether we want to start the development towards an MVP.
During the rapid prototyping, our team and our customers collaborate closely to create a Minimal Viable Product (MVP) delivering the agreed core functionality. Over the whole process, we live by the philosophy "fail fast, learn fast", hence we conduct rapid prototyping with our customers to build quickly towards a MVP that is operational and brings value from an early stage. As part of this process, we regularly review the progress together with our customer and jointly decide, in short iterations, what the next steps are, taking into account the expected value add and feasibility.
Innovative solutions for youGrowing traffic volumes, increasing air pollution and rising costs are only three examples of challenges smart cities face. There is no single solution to tackle all of them, but innovative products and services contribute to make your city or municipality even more modern, more attractive and more environmentally friendly.
Make your city even smarter and more attractive
Public agencies can take advantage of a no-pressure design thinking workshop or consulting call to understand the challenges experienced as an agency and provide insights into how The Digital Lab has solved similar challenges. Contact us now to take advantage of this offer.