
Machine learning boosts Shotl users’ experience
Machine Learning (ML) is a field of Artificial Intelligence (AI) which focuses on the development of techniques that allow computers to learn how to perform a specific task.
Explainers, field notes and results from the people who plan, launch and run demand-responsive transport services.

Machine Learning (ML) is a field of Artificial Intelligence (AI) which focuses on the development of techniques that allow computers to learn how to perform a specific task.

Pollution, congestion and changing mobility are challenging the car’s dominion over cities. Amsterdam is the latest taking bold steps to reclaim the streets for people, with potentially huge benefits.

As we often say, it is our mission here at Shotl to change the future of mobility. And, whilst it is always important to look straight ahead, we do occasionally like to review our current operations.

On Monday, December 3rd, 2018, Shotl started a three-month pilot in Sant Sadurní, a town just 30 Km away from Barcelona.

Inflexible or infrequent public transport in suburban and rural areas presents significant challenges for both families and the environment. Shared demand-responsive shuttles allow young people to travel safely and independently

Traditional public transport models must evolve to meet growing demand for flexible, sustainable mobility. Demand-responsive shuttles hold the key to revolutionize the market and reduce dependence on private vehicles.

As 5G technology and smart cities continue to develop it is essential that we create broad alliances that empower from the bottom up and here at Shotl we are committed to this kind of 5G revolution.

Our algorithmic solution matches multiple passengers, that are heading in the same direction, with a moving vehicle, minimizing ride distances and waiting time, thus offering a better transportation service and experience.

In today’s world, models of transportation have multiplied and diversified, from individual modes to collective systems. The most dominant personal modes are still the private car and the motorbike, followed by bicycles and taxis.
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