A secondary battery management system associates a secondary battery with one or more securities, associates a security with an investor, associates a secondary battery with a user, and collects a use fee of a secondary battery from a user being a lessee of the secondary battery. The secondary battery management system transfers dividends based on the use fee of a secondary battery to investors that have bought securities of the secondary battery. When the lessee of a secondary battery has changed from a first user to a second user, the secondary battery management system collects the use fee of the secondary battery from the second user.

The disclosed technology provides solutions for protecting the health of ride-sharing passengers by detecting passenger illnesses, and taking precautions to safely address potentially exposed vehicles. A process of the disclosed technology can include steps for: collecting sensor-data corresponding with one or more AV passengers, determining a likelihood that at least one of the AV passengers is suffering from a physical illness, and transmitting a wellness notification to a fleet management system if the likelihood exceeds a predetermined threshold. Systems and machine-readable media are also provided.

Implementations of a membership system for allowing users to access multiple unaffiliated gyms and paying the participating gyms are provided. In some implementations, for a plurality of users, selections of a plurality of gyms are received from each user. For each user, a fee for a time-period to be paid by the user based on the gyms selected is calculated and the fee is received from the user. A unique code is assigned to each user. When a user visits a gym that the user selected, the unique code of the user and an identification of the gym visited is received and stored. For each user and each gym selected by the user, a payment to each gym selected by the user is calculated and paid based on the percentage of time the user visited the gym during the time period.

A method of displaying a symbol representative of changes in price during a time period, the method includes receiving, for each intra-time period of a plurality of intra-time periods in the time period, intra-time price data including an intra-time open price, an intra-time high price, an intra-time low price, and an intra-time close price corresponding to the intra-time period, determining, from the received intra-time price data for the plurality of intra-time periods, an open price, which is an intra-time open price of an initial intra-time period of the plurality of intra-time periods, determining, from the intra-time high price of each of the plurality of intra-time periods, a total-higher-high-price counter value, determining, from the intra-time close price of each of the plurality of intra-time periods compared to the open price, a total-above-open-price counter value, and generating and displaying, by a charting engine, the symbol, which illustrates a relationship between the total-higher-high price counter value and the total-above-open-price counter value.

An information providing system includes an onboard device and a server that transmits information to and receives information from the onboard device. The onboard device includes a condition setting unit that acquires a destination and an output mode and transmits the acquired destination and the acquired output mode to the server. The onboard device further includes an output unit that outputs parking lot recommendation information which is received from the server. The server includes a storage unit that stores parking lot information including position information of parking lots and parking fees which are detected from a captured image of the parking lots. The server further includes an information providing unit that prioritizes parking lots which are located within a predetermined range from the destination based on the output mode provides the parking lot information of the prioritized parking lots as the parking lot recommendation information to the onboard device.

A method includes of routing an autonomous vehicle includes receiving information obtained from a camera on a second vehicle distinct from the autonomous vehicle. The method includes automatically identifying a road condition using image analysis of the information received from the camera on the second vehicle. The method includes receiving a request to route the autonomous vehicle from a first location to a second location; and in response to the request: generating a cost model for routing the autonomous vehicle, wherein the cost model includes a cost of the road condition automatically identified from the information received from the camera on the second vehicle; selecting a route from the first location to the second location in accordance with the cost model; and routing an autonomous vehicle in accordance with the selected route.

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.

System and methods are provided for computing visibility values for locations for parking shared vehicles (e.g., light micro-mobility vehicles, electric vehicles, micro-mobility vehicles, etc.), based on the location's surrounding and map related information. A visibility value for a location of a shared vehicle is computed based on multiple criteria such as visibility from the street using street level imagery and sight lines among other data. The visibility values may be used by a shared vehicle service to request that users not park or store a shared vehicle in areas where the visibility index is below a threshold.

A server device includes an identification information obtaining unit, a position information specifying unit, a storage unit, a percentage calculating unit, and a fare calculating unit. The identification information obtaining unit obtains operation identification information for identifying an operation of a vehicle and user identification information for identifying users who utilize the operation. The position information specifying unit specifies riding position information and drop off position information on the individual users. The storage unit stores the operation identification information, the user identification information, the riding position information, and the drop off position information in association with one another. The percentage calculating unit calculates percentages of an operation fare for the operation to be paid by the individual users. The fare calculating unit calculates amounts to be paid by the individual users.

An information processing device (100) includes a map information generation unit (11) and a usage amount calculation unit (12). The map information generation unit (11) generates map information by using measurement information including a plurality of types of information measured by a measurement device (300) which measures information on features and is mounted on a measurement vehicle (310). The usage amount calculation unit (12) calculates a usage amount of the map information generation unit (11) used for generating the map information by using at least one of the plurality of types of information included in measurement information.