Transportation network for multi-featured autonomous vehicles

1 . A method of operation for a plurality of multi-featured autonomous vehicles in an autonomous transportation network, the method comprising:

receiving, in a control management center having a control management processor and a central memory having a structure model stored therein, a request from a passenger, wherein the request comprises a destination;

transmitting the request to at least one of the plurality of multi-featured autonomous vehicles, said one of the plurality of autonomous vehicles having an onboard processor and an onboard memory, wherein said structure model is stored on said onboard memory;

calculating, in the control management center and the at least one of the plurality multi-featured autonomous vehicles a plurality of permissible routes from an origin to the destination, wherein the calculating in the control management center is done independently from the calculating in the at least one of the plurality multi-featured autonomous vehicles, wherein the plurality of the permissible routes is calculated comparing at least one of real vehicle dimensions and real vehicle dynamics for the ones one of the multi-featured autonomous vehicles to one of permissible vehicle dimensions and permissible vehicle dynamics for one of a road, wherein the plurality of permissible routes calculated in the control management center and the at least one of the plurality multi-featured autonomous vehicles are calculated using the structure model stored in the central memory and the onboard memory and are identical;

selecting, in the control management center and the at least one of the plurality multi-featured autonomous vehicles, a route from the plurality of permissible routes for the at least one of the plurality of the multi-featured autonomous vehicles, wherein the selecting in the control management center is done independently from the selecting in the at least one of the plurality multi-featured autonomous vehicles and wherein the at least one of the plurality of multi-featured autonomous vehicles and the control management center do not need to communicate the selected route to each other;

predicting, in the control management center, using a plurality of predicted positions and a traffic pattern model stored in the control management center, conflicts for the at least one of the plurality of the multi-featured autonomous vehicles;

generating, using the conflicts predicted by the control management center ( 200 ), conflict avoidance instructions; and

adjusting, in case conflicts are predicted, the route of the at least one of the plurality of the multi-featured autonomous vehicles using the conflict avoidance instructions.

2 . The method of claim 1 , further comprising:

continuously updating the traffic pattern model based on travel patterns of the multi-featured autonomous vehicles using interaction data from at least one of a plurality of sensing elements and a deep-learning algorithm.

3 . The method of claim 1 , further comprising:

transmitting the conflict avoidance instructions, using ones of infrastructure elements, to at least one of the multi-featured autonomous vehicles and thereby adjusting the route of the multi-featured autonomous vehicles.

4 . The method of claim 1 , further comprising:

determining available road space for avoidance of the conflicts and enabling movement of ones of the plurality of the multi-featured autonomous vehicles by determining presence of ones of the multi-featured autonomous vehicles or objects at the predicted positions.

5 . The method of claim 1 , further comprising:

notifying other ones of the plurality of multi-featured autonomous vehicles to avoid the conflicts, using infrastructure elements transmitting the conflict avoidance instructions.

6 . The method of claim 1 , further comprising:

transmitting to at least one of the plurality of the multi-featured autonomous vehicles travelling on a diversionary route conflict avoidance instructions, using ones of infrastructure elements, to enable another one of the moving multi-featured autonomous vehicles to proceed unhindered along the diversionary route.

7 . The method of claim 1 , further comprising:

adjusting speeds of other ones of the plurality of the multi-featured autonomous vehicles, using conflict avoidance instructions sent by ones of infrastructure elements, to free road space for a first one of the plurality of the moving multi-featured autonomous vehicles.

8 . The method of claim 1 , further comprising:

at a junction creating road space by transmitting conflict avoidance instructions notifying the plurality of the multi-featured autonomous vehicles to avoid entry into the junction of other ones of the plurality of multi-featured autonomous vehicles.

9 . A system for operation of an autonomous transportation network, the system comprising:

a central memory comprising a traffic pattern model for the autonomous transportation network, and a plurality of the permissible routes between an origin and a destination for a plurality of multi-featured autonomous vehicles in the autonomous transportation network;

a control management processor for:

calculation of the plurality of permissible routes using the a traffic pattern model in the central memory, wherein the calculation is done independently from a calculation of permissible routes in the plurality of multi-featured autonomous vehicles and wherein the plurality of permissible routes calculated by the control management processor and the plurality of permissible routes calculated by the at least one of the plurality of multi-featured autonomous vehicles using the traffic pattern module are identical;

selection of a route from the plurality of permissible routes for at least one of the plurality of the multi-featured autonomous vehicles, wherein the selection is done independently from a selection of the route in the at least one of the plurality multi-featured autonomous vehicles and wherein the control management processor does not need to communicate the selected route to the at least one of the plurality multi-featured autonomous vehicles; and

calculation of conflict avoidance instructions using the traffic pattern model and a plurality of predicted positions, calculated from the plurality of the permissible routes, based on prediction of conflicts for ones of the plurality of the multi-featured autonomous vehicles; and

at least one of a road, wherein sections of the road further comprise features limiting the ones of the multi-featured autonomous vehicles permitted to travel on the section of the road, the features comprising at least one of a width, a height, a curvature, an incline, or a weight restriction of the section of the road.

10 . The system of claim 9 , further comprising:

a plurality of infrastructure elements connected to the control management center and receiving the conflict avoidance instructions from the control management center for transmission to one or more of the plurality of multi-featured autonomous vehicles.

11 . The system of claim 9 , further comprising:

sensing elements disposed in the autonomous transportation network.

12 . The system of claim 9 , wherein:

the road comprises at least one of a single-lane road, allowing the ones of the multi-featured autonomous vehicles to travel in opposing directions, a two-lane road, having a separate one of a lane in each one of a direction, or a multi-lane road with at least three lanes.