Methods, systems, and devices for road usage charging (RUC) are described. RUC computation may be performed at a vehicle using a vehicle computing device (VCD) that is trusted by a service provider, charger, or both. The VCD may be trusted to collect high accuracy, high resolution time and location data for RUC, and also compute for itself what the RUC charge is according to one or more applicable charge policies that are provided to the VCD. Anonymity related to specific vehicle and location information may be provided by encrypting portions of RUC data that are decryptable by different entities with reduced likelihood of revealing specific vehicle, location, and time information.

A taxi trip meter system includes a taximeter and a location sensor connected to a computer loaded with street information and driver evaluation software. In a first embodiment, the estimated shortest route and distance between the starting and ending points of a trip are determined. If the estimated shortest trip distance is exceeded by an actual trip distance by a permissible margin, a distance violation is indicated. An actual average speed is calculated based on an actual trip duration and the actually traveled distance. If an estimated average speed limit for the actual route is exceeded by the actual average speed, a speed violation is indicated. In a second embodiment, an estimated taxi fare is calculated based on the estimated shortest route. If the estimated taxi fare is exceeded by an actual taxi fare calculated by the taximeter by a permissible margin, a fare violation is indicated.

Disclosed is a system for managing a service linked to the use, by a user, of a vehicle belonging to an owner different from the user. The system includes: a box on-board the vehicle; a unit for identifying the user; an on-board application; and remote server including: a unit for collecting sharing data, notably from the application and notably the identity of the user, a unit for collecting service data, notably from a supplier, a unit for reconciling sharing data and service data, and a unit for sharing the cost of the service between the user and the owner.

In one embodiment, there is disclosed a method, including: receiving, at a server comprising at least one processor, a request from a computing device of a passenger for a driver for a specified pickup location; and computing a fare from a distance-weighted continuous pricing function based at least in part on a distance from the specified pickup location to a reference location. There is also disclosed an apparatus for providing the method, and a computer-readable medium having stored thereon executable instructions for providing the method.

A multi-modal meter of a vehicle obtains information from multiple sources to determine the most accurate values of motion parameters of the vehicle. The multi-modal meter obtains data describing motion of a vehicle from various sources including an on-board diagnostics (OBD) and global positioning system (GPS.) The dynamically evaluates the signal sources for their accuracy as the vehicle travels. The multi-modal meter selects different signal sources for different portions of a ride and uses the data from the selected signal sources to determine the most accurate motion parameters. The multi-modal meter use machine learning techniques to generate metadata used by an engine configured to determine the most accurate values of motion parameters of the vehicle.

A multi-modal meter of a vehicle obtains information from multiple sources to determine the most accurate values of motion parameters of the vehicle. The multi-modal meter obtains data describing motion of a vehicle from various sources including an on-board diagnostics (OBD) and global positioning system (GPS.) The dynamically evaluates the signal sources for their accuracy as the vehicle travels. The multi-modal meter selects different signal sources for different portions of a ride and uses the data from the selected signal sources to determine the most accurate motion parameters. The multi-modal meter use machine learning techniques to generate metadata used by an engine configured to determine the most accurate values of motion parameters of the vehicle.

An integrated transportation system (TIS) that comprises at least one Fleet Management System (FMS), Ride Sharing (RS) module and Administrator of the TIS that is configured to supervise and mediate communication between the FMS and RS module upon uploading transportation service offers through the RS module to potential passengers and cargo. The TIS comprises functionalities that enable establishing FMS on the TIS, enabling the FMS to offer transportation service offers to TIS users through the RS module, receiving requests for such services through the RS module and supervising their execution. The TIS also maintains a database relating to transportation services carried out through it and offers access to such database to interested parties.

Methods, devices, and systems described herein include initiating an application stored in association with a device disposed within a vehicle and determining a user identifier of a user in the vehicle. Geographic location data may be sent to a remote system along with the user identifier. Events may be received from the remote system that are based at least in part on the geographic location data and the user identifier. The events may be displayed a selection of an interactive element of the user interface that corresponds to an event of the events may be received. The user interface may then transition from a first user interface window displaying the events to a second user interface window configured to display additional information about the event. Based at least in part on the transitioning, the additional information may be displayed via the second user interface window.

Methods and systems include pairing a first device to a second device via a paired connection such that the first device is configured to send and receive encrypted data with the second device. An application may be initiated based on the pairing and a status indicator may be displayed. A request may be received to provide encrypted card data for a transaction and a first update to the status indicator may be displayed. The encrypted card data may be sent to the second device responsive to the request and a second update to the status indicator may be displayed based at least in part on sending the encrypted card data. Confirmation may be received that the transaction has been completed, and a third update to the status indicator May be displayed based at least in part on receiving the confirmation that the transaction has been completed.

Systems and methods of securing, distribution and enforcing for-hire vehicle operating parameters are described whereby a first computer system maintaining the parameters generates a data packet that is distributed to a second computer system which acts as a meter (such as a taximeter, limousine meter or shuttle meter) for the for-hire vehicle. The first computer system may secure or encrypt the data packet according to a security protocol associated with the second computer system. Once the second computer system receives the data packet, it may validate and extract the operating parameters contained within it. The second computer system may then store the operating parameters and operate according to the parameters by, for example, calculating fares for passengers that make use of the for-hire vehicle associated with the second computer system. The second computer system may include a secure segment that is attached to the for-hire vehicle and a non-secure segment that may be easily removed to prevent theft or for repairs.