A travel planning device includes: a subject vehicle information acquisition unit that acquires subject vehicle information including a scheduled travel route and a scheduled departure time of a subject vehicle; an other vehicle information acquisition unit that acquires other vehicle information including information by which it is possible to predict scheduled travel routes of a plurality of other vehicles and a scheduled passage time through each point on the scheduled travel routes; and a travel plan calculator that calculates a travel plan of the subject vehicle based on the subject vehicle information and the other vehicle information. The travel plan calculator divides the scheduled travel route of the subject vehicle into manual driving sections and following travel sections, and selects the leading vehicle of each following travel section from among the plurality of other vehicles for each following travel section.

A vehicular drive assist system performs drive assist for a vehicle traveling in each predetermined area while receiving a feedback on evaluation relating to ease of travel on a road in each of the areas. In the system, a management center performs evaluation of ease of travel on a road for each of the areas on the basis of information obtained from the vehicle and feeds back the evaluation result to the vehicle. In this case, a variation width of the evaluation relating to ease of travel is restricted on a basis of static factors of road environment for each of the areas.

A system, a transportation vehicle, a network component, apparatuses, methods, and computer programs for a transportation vehicle and a network component. The method for a transportation vehicle and for verifying a proposed route includes determining an exceptional traffic situation based on an environmental model for the transportation vehicle and transmitting information related to the exceptional traffic situation to a network component using a mobile communication system. The method also includes receiving information related to a proposed route from a network component, and verifying the proposed route based on the environmental model of the transportation vehicle.

For locations along a route a user will be traveling, the alert system for environmental changes compares first and second sets of images associated with first and second timestamps, respectively. The alert system determines degrees of environmental changes for the locations based on the comparisons. The alert system then generates and sends an alert to a user device. In determining the degrees of environment changes, the alert system retrieves first and second set of images matching a given location and associated with first and second timestamps. The alert system identifies first and second sets of objects and extracts first and second sets of attributes for the first and second sets of images. The alert system compares the first and second sets of attributes and the first and second set of objects, and determines a given degree of environmental changes at the given location based on the comparisons.

The efficiency of commercial vehicle operations can be facilitated by using a blockchain. The blockchain can be used to track commercial operators and provide a logistical network for swapping operators. An operator identity for an initial operator of a vehicle and a route limitation indicating operator restrictions with respect to a route can be recorded in a blockchain database. Using a vehicle operation history retrieved from the blockchain database for the initial operator, a time frame for operation of the vehicle by the initial operator can be determined based on the route limitation and the vehicle operation history. An operator swap event at a swap location can be coordinated so that control of the vehicle can be transferred from the initial operator to a subsequent operator based on the time frame. The operator swap event and a subsequent operator identity can be recorded in the blockchain database.

The disclosure generally pertains to systems and methods for using vehicles to detect and remediate air pollution. In an example implementation, a server computer transmits a directive to a vehicle controller of a vehicle, to measure an air pollution level around the vehicle at a first location. The vehicle controller executes an air pollution measurement and transmits measurement data to the server computer. The server computer evaluates the measurement data and directs the vehicle controller to perform a remedial action for reducing the air pollution level at the first location. The remedial action can involve, for example, the vehicle controller moving the vehicle from the first location to a second location. The server computer may also determine whether the first location is a transient pollution location or a persistent pollution by directing the vehicle controller to carry out measurements at two different times and/or by employing two different sampling rates.

A server may determine a plurality of recommended exit paths for vehicles departing a locality. The server may also correlate a plurality of present geofenced locations within the locality to exit paths, so that each location has one or more exit paths correlated thereto, informing vehicles within a given locality about the one or more exit paths recommended for that locality. Further, the server may instruct an ATSC transmitter to broadcast map data for the locality, the map data including designations of geofences around the locations and the correlations between the geofenced locations and the exit paths.

Aspects of the present disclosure provide a computer-implemented method that includes, responsive to receiving a pickup location request indicating a pickup location, identifying a vehicle in a vicinity associated with the pickup location, the vehicle having vehicle location data associated therewith. The method further includes selecting a shortest route from the vehicle to the pickup location. The method further includes, responsive to determining that a crossing is present along the shortest route, receiving target object location data for a target object associated with the crossing. The method further includes determining whether the target object and the vehicle intersect are predicted to intersect at the crossing. The method further includes, responsive to determining the target object and the vehicle are predicted to intersect at the crossing, identifying another vehicle in the vicinity, wherein the other vehicle traverses a route that avoids the crossing.

Systems, methods, and non-transitory computer-readable media can receive disengagement information associated with one or more autonomous vehicles, the disengagement information identifying a plurality of disengagements of an autonomy system during operation of the one or more autonomous vehicles. Each disengagement of the plurality of disengagements can be categorized based on a plurality of categories, wherein a first category of the plurality of categories is associated with disengagement that would not have led to a negative outcome. A performance metric associated with the one or more autonomous vehicles can be determined based on the categorizing each disengagement of the plurality of disengagements. Autonomous vehicle performance of the one or more autonomous vehicles can be evaluated based on the performance metric.

An assistance control system performs assistance control for causing a moving object to move to a destination based on map information. The assistance control system includes an electronic control unit. The electronic control unit is configured to generate or update the map information based on input from a sensor mounted on the moving object, acquire a plurality of route candidates to the destination, evaluate certainty of the map information for each location or each section, and calculate a map information evaluation value, evaluate accuracy of the assistance control in the acquired route candidates based on the calculated map information evaluation value, and present a route candidate having the highest priority among the route candidates to an occupant of the moving object, or control the moving object along the route candidate having the highest priority.