Aspects of this disclosure include a method for proactive cooling, a vehicle, and a computer program product for a proactive cooling system. One embodiment of the method may comprise creating a machine learning model of a physical object, and instrumenting the physical object with sensors to generate real-time data about the physical object and its operational environment. The method may further comprise generating, with the machine learning model, a predicted future temperature for the physical object using the real-time data about the physical object and its operational environment, and in response to the predicted future temperature exceeding a threshold temperature within a threshold time period, proactively cooling the physical object.

A vehicle includes a navigation configured to output navigation information; and a controller configured to receive a requested stopping location of the vehicle for a passenger to get on or off, to determine a stopping location of the vehicle based on the navigation information and information on a designated no-stopping zone, in response to the receiving of the requested stopping location, and to control the vehicle to head to the determined stopping location.

Disclosed embodiments include systems, vehicles, and methods for receiving inputs indicative of a destination and a potential intermediate destination and determining a time potentially available at the intermediate destination. In an illustrative embodiment, a system includes a computing device having computer-readable media storing computer-executable instructions configured to cause the computing device to receive a first input indicative of a destination. A second input is received that is indicative of a desired arrival time at the destination. A third input is received that is indicative of an intermediate destination to be visited before traveling to the destination. A first travel time to the intermediate destination, a second travel time to the destination, and a time available at the intermediate destination are determined. The time available at the intermediate destination is communicated to a user.

An example operation includes one or more of determining a transport, in a group of transports associated with a date of disposition, is operating below an efficiency threshold of the group of transports, and limiting transports, in the group of transports, that are operating most above the efficiency threshold, from performing functionality until the group of transports is at the efficiency threshold.

An approach is provided for dispersing incident routing. For example, the approach involves determining an incident location of an incident. The incident disperses over a geographic area. The approach also involves generating a polygon representing the geographic area. The incident location is represented as one vertex of the polygon. The approach further involves computing a navigation route to or from the incident location, the geographic area, a vicinity of the geographic area, or a combination thereof based on a routing engine cost function. The routing engine cost function weighs a traversal through the geographic area represented by the polygon to generate the navigation route.

Aspects of the disclosure provide for automatically generating labels for sensor data. For instance first sensor data for a first vehicle is identified. The first sensor data is defined in both a global coordinate system and a local coordinate system for the first vehicle. A second vehicle is identified based on a second location of the second vehicle within a threshold distance of the first vehicle within the first timeframe. The second vehicle is associated with second sensor data that is further associated with a label identifying a location of an object, and the location of the object is defined in a local coordinate system of the second vehicle. A conversion from the local coordinate system of the second vehicle to the local coordinate system of the first vehicle may be determined and used to transfer the label from the second sensor data to the first sensor data.

A method includes receiving a request from a requesting vehicle to locate a parking spot having capacity to receive solar power, determining a parking location having the capacity to receive solar power, based on a location of the requesting vehicle, the request, and a parking map that indicates an expected charging rate at each of a plurality of parking locations, and transmitting the determined parking location to the requesting vehicle.

Described are systems and methods for improved road snapping, where vehicle event data points are point snapped to road segments. Journey traces are employed together with penalty algorithms to provide more accurate road snapping. Also described is improved database partitioning and worker distribution for more efficient batch processing of vehicle event data.

A travel destination retrieval system using a coloration-based spatial information database includes a data collection unit configured to collect image data from a user terminal, a coloration extraction unit configured to analyze the collected image data to extract representative coloration information, an ID generation unit configured to generate representative ID information related to the representative coloration information, a travel destination information generation unit configured to generate travel destination information corresponding to the representative coloration information and the representative ID information, a data fusion unit configured to generate coloration space information by mapping the representative coloration information, the representative ID information, and the travel destination information to the image data, a data storage unit configured to store the generated coloration space information, and a travel destination information output unit configured to output recommended travel destination information in response to receiving information about a retrieval image for retrieving a travel destination from a user terminal based on a similarity between the retrieval image information and the coloration space information.

A method includes: selecting a set of access points in a focus zone that identifies an area around the travel destination; determining access paths through one or more access points in the set of selected access points; listing crossings that the access paths pass through; for each of the listed crossings: determining a probability that the listed crossing is passed through by an access path; determining at least one complexity score of the listed crossing; determining a set of points of interest (POIs) along access paths passing through the listed crossing; and determining quality scores for the POIs, respectively, the quality score of one of the POIs reflecting a utility of that one of the POIs to facilitate orientation; selecting POIs from the set of POIs based on the quality scores; generating the access map including the access paths and the selected POIs; and outputting the access map.