Disclosed herein are methods for decoding path data. The methods may comprise providing a navigation database for storing topological information of a road network. The navigation database comprises a plurality of road links, and a plurality of link nodes, each link node defining a topological connection between two or more of the road links. The methods may further comprise receiving path data indicative of a path within the road network, wherein the path data comprises a start identifier, a link count, and at least one exit number. The methods may further comprise selecting, from the navigation database, one road link of the plurality of the road links as a start road link of the path based the start identifier. Moreover, the methods may comprise iteratively expanding the path with selected road links until the link count is equal to the number of road links of the path.

Provided herein is a method of generating and communicating map version agnostic road link identifiers. Methods may include: receiving an indication of a new road link being joined to an existing road link along a length of the existing road link, where the existing road link extends between a first node and a second node, where the existing road link has a first road link identifier, and where a new node is formed where the new road link joins the existing road link; generating a first new identifier for a segment of the existing road link between the first node and the new node; generating a second new identifier for a segment of the existing road link between the new node and the second node, where the second new identifier is set equal to an XOR function of the first road link identifier and the first new identifier.

A method and a device for determining emergency trajectories. A method and a device for operating an automated vehicle are also described.

The present disclosure relates to navigational systems, devices, and methods for preparing route guidance information that incorporates user needs—and ensures fulfilment of those needs under a variety of conditions. In particular, this disclosure relates to preparing route guidance information that ensures a user is directed along a route that includes stops where various needs such as e.g. medical, food, or water can be met while also minimizing traffic. Such a system may be useful, for example, when evacuating from a metro region in the face of an oncoming natural disaster such as a hurricane.

Adaptive traffic light system for reducing city traffic, consisting of several interconnected modules; the user specifies the departure and destination of his/her route on an application executable on a smartphone, or on an ad-hoc hardware device, which carries out the functions of a navigator; the application sends the arrival and departure point to a central unit which returns the best path in terms of time, length, traffic and with the lowest wait time at the traffic light devices that receive the commands on setting the lights to minimize the users travel time; the device communicates with the traffic lights the crossing at the intersection which together with the data provided by the application on the speed and position are used by the central unit to update the route and the commands to be sent to the next traffic lights;

An example apparatus includes at least one processor and at least one memory coupled to the at least one processor and storing programming instructions for execution by the at least one processor to: obtain map data at a current moment, where the map data includes a first road area at the current moment, the special road condition is located in the first road area, the first road area is obtained based on a road condition model and a vehicle parameter within a preset time period before the current moment, and the road condition model represents a correspondence between a feature of the vehicle parameter and the special road condition; and determine, based on a planned route of a vehicle, that a second road area exists in the planned route of the vehicle, where the second road area is in the first road area.

An information processing apparatus executes: acquiring whether or not a first user permits another user to ride in a first vehicle; acquiring whether or not a second user is matched with each of vehicles; regarding, as the first vehicle, a vehicle which is among the vehicles and with which the second user is not matched, and matching the first vehicle with the first user, when the first user requests a ride in the first vehicle and does not permit another user to ride in the first vehicle; and not permitting the other user to be matched with the first vehicle, after matching the first user with the first vehicle.

Embodiments of the invention include preemptive traffic routing based on parsing of emergency dispatches. Aspects of the invention obtaining an emergency dispatch transmission and parsing the emergency dispatch transmission to obtain a location and a type of an emergency event. Aspects also include determining, based at least in part on the location and the type of the emergency event, an expected impact on traffic in an area including the location. Aspects further include transmitting the expected impact on traffic in the area to a vehicle navigation application.

A computer is programmed to allocate respective connectivity quality data of a geographic area to a first map or a second map. The computer is further programmed to assign one of a plurality of subsets of the first map and one of a plurality of subsets of the second map to a first vehicle, identify respective locations of the first and second vehicles and one of the first or second maps that includes the locations of the first and second vehicles. The computer is further programmed to send, to the first and second vehicles, a map dataset that is a result of applying an XOR function to (1) the subset of the identified map that includes the location of the first vehicle assigned to the first vehicle and (2) the subset of the identified map that includes the location of the second vehicle assigned to the second vehicle.

A vehicle behavior evaluation device: sets multiple possible behaviors of an own vehicle when the own vehicle travels along a planned route; generates, using a function device, traveling situation related reward data by learning; calculates, using the function device, a reward to each possible behavior of the own vehicle by considering a traveling state of different vehicle; and evaluates each possible behavior of the own vehicle based on the calculated reward. The traveling situation related reward data is generated by: simulating multiple combinations of situations of the own vehicle and the different vehicle under different environments; assigning a first reward to a first situation of the own vehicle when the own vehicle avoids a contact with the different vehicle; and assigning a second reward that is lower than the first reward to a second situation of the own vehicle when the own vehicle contacts with the different vehicle.