Shotl has launched a new operation in a small town in the Catalan Costa Brava area. This transport service modernizes one that was created to cover a social need and provide mobility between three scattered municipalities that make up the urban nucleus of Castell-Platja d'Aro.
Configuring traffic and public transport services relies on accurate, real-time data. In this post, we look at how vehicle data gathered from on-demand mobility can complement traditional on-street data collection methods.
Measure rider movements to get predictive models in a given area before an on-demand shuttle starts hitting the streets.
A cheap and safe way to validate user response while slowly deploying new demand responsive services in your city.
Start saving operational costs and increase passenger ridership through a fully dynamic transport service based on real time demand.
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