Method for operating a vehicle
The present disclosure generally relates to a computer implemented method for operating a vehicle ( 104, 106, 108 ), specifically in relation to efficient transporting of a predefined cargo. The present disclosure also relates to a corresponding arrangement and computer program product.
1. A computer implemented method for operating a vehicle, the method comprising:
receiving an indication of a route for transporting a predefined cargo, the indication of the route comprising a start and a destination, the route comprising a plurality of segments,
receiving an indication of a required time of arrival at the destination,
determining a speed profile for travelling the route,
determining a relaxation coefficient for the speed profile, and
controlling the vehicle based on a combination of the speed profile and the relaxation coefficient,
wherein:
the relaxation coefficient is dependent on a combination of a delay risk for the route and a quantified penalty factor for deviation from a required time of arrival range at the destination,
the delay risk for the route is derived from predictive analysis of transport conditions using a machine learning scheme trained on simulated or historical data for the route,
the speed profile is adapted for the plurality of segments of the route to be travelled, and
application of the relaxation coefficient dynamically adjusts the vehicle's adherence to the speed profile for ensuring optimal balance between punctuality, operational cost, and environmental considerations.
2. The method of claim 1 , wherein the route comprises a predetermined time range for arriving at the start of the route.
3. The method of claim 1 , wherein the speed profile is determined based on at least one of a desired maximum speed for the vehicle or a maximum legal speed for the vehicle at a section of the route.
4. The method of claim 1 , wherein the method is performed by an electronic control unit on-board the vehicle.
5. The method of claim 1 , wherein the method is performed by a cloud server, the cloud server being network connected to an electronic control unit of the vehicle.
6. The method of claim 1 , wherein the speed profile is least partly optimized for reduced transport energy consumption.
7. A system for controlling a vehicle, the system comprising computing circuitry, wherein the computing circuitry is configured to:
receive an indication of a route for transporting a predefined cargo, the indication of the route comprising a start and a destination, the route comprising a plurality of segments,
receive an indication of a required time of arrival at the destination,
determine a speed profile for travelling the route,
determine a relaxation coefficient for the speed profile, and
control the vehicle based on a combination of the speed profile and the relaxation coefficient,
wherein:
the relaxation coefficient is dependent on a combination of a delay risk for the route and a quantified penalty factor for deviation from a required time of arrival range at the destination,
the delay risk for the route is derived from predictive analysis of transport conditions using a machine learning scheme trained on simulated or historical data for the route,
the speed profile is adapted for the plurality of segments of the route to be travelled, and
application of the relaxation coefficient dynamically adjusts the vehicle's adherence to the speed profile for ensuring optimal balance between punctuality, operational cost, and environmental considerations.
8. The system of claim 7 , wherein the computing circuitry is implemented as an electronic control unit of the vehicle.
9. The system of claim 7 , wherein the computing circuitry is implemented using a combination of an electronic control unit of the vehicle and a server arranged remotely from the vehicle.
10. The system of claim 7 , wherein the route comprises a predetermined time range for arriving at the start of the route.
11. The system of claim 7 , wherein the speed profile is determined based on at least one of a desired maximum speed for the vehicle or a maximum legal speed for the vehicle at a section of the route.