With passenger movement being a key public task, the public transport network is a critical component for the efficiency of a city.
We all know there are large inefficiencies in public transport networks in cities worldwide. Asistobe empowers cities to make the most of their investments in public transport.
Resources are limited when you are planning or operating a public transport network. To truly maximize the output of your resources, it’s crucial that the network design is optimized for operational cost, income from tickets, and travel experience for the passengers.
Designing, improving, and optimizing a public transport network is an insanely complex task. At least if you are truly committed to transport as many people as possible, using a limited pool of resources. Asistobe’s tool provides you with AI-based functionality assisting you in making the right decisions for your city.
Asistobe’s goal is to enable small to medium cities, without the financial muscles to invest in data science, to get access to a platform with advanced AI/ML algorithms. And in turn, empowering them to make data-driven decisions.
COVID-19 has resulted in decreased number of passengers. Many public transport systems have adjusted their timetables to accommodate fewer passengers, but we are now moving into a growing market. Asistobe oﬀers prediction functionality estimating the next period’s ridership, the passenger distribution across the network, and recommends headways to handle the change. Asistobe lets you optimize costs both for the short and long term.
Asistobe’s SaaS tool analyses and structures transport data to provide you with the needed information to make data-driven decisions. A medium European city transports millions of passengers every year using 100s of busses between 1000s of bus stops over 365 days, be it sun, rain, or holiday seasons.
There are literally billions of possible optimization parameters. Asistobe’s AI and Machine Learning algorithms help you get as close to optimal as possible.
Logistics and Optimization
Frontend and UX