DRT, (demand responsive transport) is a form of shared transportation where vehicles change their routes based
on the, actual demand of passengers, without a fixed timetable.
On-demand transport does not compete with conventional
public transportation.
To the contrary – it is highly complementary to it in many cases.
The finished system we offer is dedicated to cities, municipalities and institutions. Our solution enables comprehensive implementation of an on-demand transportation service in a specific area, and deployment is possible in just a few weeks.
The primary component that binds the entire solution together is the
service management platform. The platform enables to view task completion by drivers and to generate reports for efficient billing management.
It also offers a functionality to enter journeys reported by phone directly to the operator. At the heart of the system are algorithms that automatically calculate routes and schedule passenger pick-ups so that everyone arrives at their desired stop on time.
The second component of the system developed by Blees is an app for residents. It allows the users to order a ride by indicating the place and time
of pickup and their destination. The user can either enter the time of pickup
or the time they need to arrive at their destination.
Both the application and the entire system have been developed by skilled and experienced IT specialists in collaboration with the Silesian University of Technology. It has been designed with the end user in mind to make using it as simple and easy as possible.
The last component of the system is the driver’s app. It collects all passenger orders submitted both by the app and by phone directly from the dispatcher.
The app notifies the driver who to pick up and from where, and where to take them. It has been programmed to minimise the number of driver’s tasks.
Want to improve public transportation in your municipality or city? Contact us to get answers to all your questions and receive support in planning service implementation.
