A method for partitioning a geographic area, including: partitioning the geographic area into geographic units; for each respective geographic unit: determining, a central location of the respective geographic unit; determining, an aggregate demand location of the respective geographic unit based on pick-up locations in the respective geographic unit in a time period; determining, an aggregate supply location of the respective geographic unit based on provider locations when responding to requests having pick-up locations in the respective geographic unit in said time period; for each respective pair of geographic units, determining, among a plurality of the geographic units, a connection strength between the respective pair based on distance metrics between the respective pair, where the distance metrics are determined based on the central locations, the aggregate supply locations, and the aggregate demand locations of the respective pair in said time period; and assigning each respective geographic unit to a respective one of one or more aggregate geographic units based on the determined connection strengths.

A computer-implemented method that includes generating design load values for a geographical location in response to receiving the geographical location via user identification or entry into a Graphical User Interface (GUI) displayed on a user device. The design load values include a wind speed value, a snow load value, and/or a seismic value. The method includes determining option content to include in a building design option menu to be rendered on the GUI displayed on the user device. The building design option menu includes information fields for each one of one or more building dimension options for a Three-Dimensional (3D) building model and for each one of one or more building accessory options for the 3D building model. The option content includes the one or more building dimension options and/or the one or more building accessory options that meet or exceed the design load values. The method includes determining, in response to receiving selected building dimensions and/or selected building accessories that are identified or entered by the user into the information fields, a price of building materials for the 3D building model that has been modified to include the selected building dimensions and/or the selected building accessories. The method includes causing, in response to the generating of the price of the building materials, the GUI displayed on the user device to indicate the price of the building materials and to render a view of the 3D building model that has been modified to include the selected building dimensions and/or the selected building accessories.

Methods and systems for detecting when users deviate from a provided transportation route and for correcting the transportation route in response to such user deviations is presented. In one embodiment, a method is provided including detecting a changed condition for a transportation route between a first location and a second location. The transportation route may include multiple transportation segments. A first transportation segment designating a first modality may be identified, wherein the changed condition decreases a likelihood that vehicles associated with the first modality will be available to service the first transportation segment. In response, a second transportation segment designating a second modality different from the first modality is generated. The first transportation segment is then replaced with the second transportation segment in the transportation route.

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 close price, and an intra-time volume corresponding to the intra-time period, determining, from the received intra-time price data, an open price, which is an intra-time open price of an initial intra-time period and a close price, which is an intra-time close price of a last intra-time period, determining, from the intra-time volume of each of the plurality of intra-time periods, a highest intra-time volume occurring within a first intra-time period and a lowest intra-time volume occurring within a second intra-time period, generating a volume normalization value for the intra-time volume of each of the plurality of intra-time periods using the lowest intra-time volume and the highest intra-time volume, generating, by a charting engine, a candle body from the open price and the close price, wherein a height of the candle body indicates a difference between the open price and the close price, and a width of the candle body indicates a difference between a start time of the time period and an end time of the time period, generating, by a charting engine, in accordance with a selected intra-time volume rendering method, a body fill area from each of the generated volume normalization values of each of the plurality of intra-time periods, and displaying, by the charting engine, the symbol, which includes the candle body and the body fill area within the candle body.

The disclosed system may include a non-transitory memory and one or more hardware processors configured to execute instructions from the non-transitory memory to perform operations including determining online data and offline data from a mobile application, wherein the online data is determined based on the mobile application being online and the offline data is determined based on the mobile application being offline, determining travel distance data from a remote device associated with the vehicle, aggregating at least a portion of the online data, at least a portion of the offline data, and at least a portion of the travel distance data, generating data associated with the aggregation of the portion of the online data, the portion of the offline data, and the portion of the travel distance data, and causing the mobile application to display the generated data. Other methods, systems, and computer-readable media are disclosed.

When a user who utilizes a gasoline-powered vehicle shifts to EV car sharing, and the user wishes to have applied a discount for shifting to EV car sharing, a fee setting device setting a car sharing fee requests the user to input a cost paid in the past to purchase gasoline. The fee setting device registers the cost paid to purchase gasoline, as input, and if the cost paid to purchase gasoline is a predetermined amount or more, the fee setting device selects a first discount and sets a basic fee. If the cost paid to purchase gasoline is less than the predetermined amount, the fee setting device selects a second discount and sets a basic fee.

A system and method for remote execution of applications for a connected vehicle infotainment system (CVIS). The method comprises establishing a network connection between the CVIS and a cloud server hosted in a cloud computing platform, sending a remote execution request for at least one application, wherein the at least one application is executed by the cloud server, receiving execution results from the at least one application cloud server, and rendering the execution results on the CVIS while allowing interoperability with applications executed over at least one other computing environment included in the vehicle.

Systems and methods are provided for dynamically adjusting payout to deliverers, comprising receiving a plurality of delivery orders, wherein each of the plurality of delivery orders is associated with a delivery address in a geographic region, and wherein the geographic region is associated with a plurality of configurations; determining a base fee for fulfilling the plurality of delivery orders in the geographic region based on the plurality of configurations associated with the geographic region; adjusting, using a pricing algorithm, the base fee for fulfilling the plurality of delivery orders based on the determined configurations; receiving one or more features associated with the plurality of delivery orders; and adjusting the adjusted base fee based on the received one or more features, wherein the pricing algorithm used to calculate the base fee is selected among a plurality of pricing algorithms based on the geographic region.

A network computing system can coordinate on-demand transport serviced by transport providers operating throughout a transport service region. The transport providers can comprise a set of internal autonomous vehicles (AVs) and a set of third-party AVs. The system can receive a transport request from a requesting user of the transport service region, where the transport request indicates a pick-up location and a destination. The system can determine a subset of the transport providers to service the respective transport request, and executing a selection process among the subset of the transport providers to select a transport provider to service the transport request. The system may then transmit a transport assignment to the selected transport provider to cause the selected transport provider to service the transport request.

A road usage charge system uses a proprietary blockchain to conduct transactions for road usage fees. While driving, a mobile device or equivalent tracks the vehicle location, speed, time of day, day of week, and any other parameter that may be used to modify a base road use fee are tracked and applied to conditional modifiers of the smart contract to create a new transaction block. As a result, the tedious reconciliation process normally associated with vehicular payments can be avoided.