Abstract: The disclosed method may include configuring one or more brakes based on a braking-related attribute expected at a geographic location being traversed by a personal mobility vehicle. By configuring the application of brakes of a personal mobility vehicle based on terrain, environmental conditions, and other geographic features, the system may reduce the risk of the vehicle skidding or tipping due to over-braking. In some embodiments, a rider may use a single brake lever to indicate a desire to brake and the system may make determinations about how to apply a combination of mechanical and electrical brakes to front and back wheels based at least in part on the location of the personal mobility vehicle. By configuring brake engagement based on a combination of controls and map data, the system may improve user experience and user safety, especially for inexperienced riders.

Abstract: The disclosed computer-implemented method may include receiving, by a computing device, directional information for a waypoint along a route of travel of a personal mobility vehicle, determining, by the computing device and based on the directional information, a bearing of the waypoint from a current location of the personal mobility vehicle, and displaying, by a display device included in the personal mobility vehicle and configured to display navigational information within an illumination pattern, an indication of the bearing within the illumination pattern for navigating the personal mobility vehicle along the route of travel to the waypoint. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method includes transmitting, to a driver computing device associated with a driver, navigational data to direct the driver to a first pick-up location and to direct the driver from the first pick-up location to a first drop-off location along a first route to fulfill a first transportation request associated with a first user. The method further includes determining that the first route is to be modified, identifying a drop-off area associated with the first drop-off location, and selecting a second drop-off location and a second route for the first user. The first drop-off location and the second drop-off location are located within the drop-off area. The method further includes transmitting, to the driver computing device, updated navigational data to direct the driver to the second drop-off location along the second route to fulfill the first transportation request.

Abstract: Personal mobility vehicles, their various components, methods and systems for controlling, using, tracking, and/or interacting with personal mobility vehicles, and methods and systems for integrating personal mobility vehicles within dynamic transportation networks so that a personal mobility vehicle (PMV) can be used in combination with a vehicle of a transportation provider to efficiently complete a transportation request are discussed. For example, a PMV may be used in combination with a lane-constrained vehicle to improve travel time between two locations in situations where the time it may take for a lane-constrained vehicle to reach the starting location may be affected by traffic congestion at the starting location. The PMV may transport a transportation requestor from a starting location to an intermediate location away from the traffic congestion to then transfer to a lane-constrained vehicle for the remainder of the trip.

Abstract: 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 (1) determining one or more vibration signals detected by a personal mobility vehicle, (2) determining that the one or more vibration signals correspond to a particular type of pathway for the personal mobility vehicle, (3) generating a feedback signal corresponding to the particular type of pathway, and (4) transmitting the feedback signal corresponding to the particular type of pathway. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: This disclosure describes a vehicle-icon-animation system that determines render orientations for rendering a vehicle icon to represent a public transportation vehicle traveling along a predicted route. For example, based on analyzing public transit information, the disclosed systems can determine render orientations corresponding to locations of a public transportation vehicle along a predicted route. In addition, the disclosed systems can render (or cause a client device to render) a vehicle icon to portray the public transportation vehicle pointing in different render orientations at various locations along the predicted route. Further, the disclosed systems can update the vehicle icon to render it in a new location within a graphical map display based on updated public transit information.

Abstract: In one embodiment, a method includes receiving sensor data corresponding to an environment external of a vehicle. The sensor data include data points. The method includes determining one or more subsets of the data points. The method includes comparing the one or more subsets of the data points to one or more predetermined data patterns. Each of the one or more predetermined data patterns corresponds to an object classification. The method includes computing a confidence score for each subset of data points of the one or more subsets of the data points as corresponding to each of the one or more predetermined data patterns based on the comparison. The method includes generating a classification for an object in the environment external of the vehicle based on the confidence score.

Abstract: Systems, methods, and non-transitory computer-readable media can determine sensor data captured by at least one sensor of a vehicle while navigating a road segment. A plurality of features describing the road segment can be extracted from the sensor data. A map representation of the road segment can be determined based at least in part on the sensor data and the plurality of features extracted from the sensor data, the map representation being determined as the vehicle navigates the road segment. While the map representation of the road segment is being determined, at least one scenario associated with the road segment can be determined based at least in part on the map representation and the plurality of features extracted from the sensor data.

Abstract: The disclosed computer-implemented method may include (i) receiving a first transport request and a second transport request, (ii) evaluating a fitness of matching the first and second transport requests to be fulfilled by a transport provider, based at least partly on a transportation overlap between the first and second transport requests, (iii) generating a simulated future transport request, (iv) evaluating a fitness of matching the first transport request with the simulated future transport request, based at least in part on a transportation overlap between the first transport request and the simulated future transport request, and (v) matching the first and second transport requests based at least in part on the fitness of matching the first and second transport requests and based at least in part on the fitness of matching the first transport request with the simulated future transport request. Various other methods, systems, and computer-readable media are disclosed.

Abstract: In one embodiment, a method includes sending a set of instructions to present, on a computing device, one or more available locations for a vehicle to pick-up or drop-off a user in an area. The one or more available locations are based on sensor data of the area that is captured by the vehicle. The method includes receiving a user selection to select a location associated with the area for the vehicle to pick-up or drop-off the user. The method includes adjusting a viability value of one or more locations to pick-up or drop-off the user. The viability value is adjusted based at least on the selected location. The method includes, based on the adjusted viability value of the one or more locations, determining a location from the one or more locations. The method includes instructing the vehicle to travel to the determined location.

Abstract: Methods and systems for correcting errors in transportation routes are provided. In one embodiment, a method is provided that includes receiving a transportation request that includes at least two locations. A first route prediction may be generated based on a first set of previously-completed routes associated with the at least two locations. A first predictive model may compare the first route prediction with route information associated with a second set of previously-completed routes identified based on the first route prediction. A second route prediction may be generated based on the comparison and may be sent to a mobile device for presentation to a user.

Abstract: The present disclosure relates to systems, non-transitory computer readable media, and methods for detecting and providing a digital notification of whether a ridership error exists. For instance, a ridership error detection system identifies a transportation match between a requestor device and a provider device. The ridership error detection system determines one or more sets of provider-requestor consistency signals from the requestor device and the provider device across ride stages. For instance, the ridership error detection system analyzes location signals, IMU signals, audio signals, local wireless signals indicating distances between the requestor device and the provider device, and other signals to determine whether a ridership error exists. The ridership error detection system provides digital notifications to the provider device and the requestor device based on the ridership error determination.

Abstract: This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.

Abstract: The disclosed apparatus may include a collar for charging a personal mobility vehicle via a dock. In some embodiments, the collar may be fitted with a charging connector that interfaces with a dock that charges the personal mobility vehicle when the personal mobility vehicle is docked. In one embodiment, the collar and a corresponding receiving element in the dock may be shaped such that the collar fits securely in the receiving element without requiring mechanical action by the collar or receiving element and only requiring a user to push the personal mobility vehicle straight into the dock. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: In one embodiment, a method comprises determining, based on one or more metrics indicative of passenger demand and driver supply associated with a transportation service, to send a first minimum fare offer to a first driver, the first minimum fare offer specifying a first minimum amount of compensation to be provided to the first driver for a first time period; tracking compensation accrued by the first driver during the first time period for servicing at least one ride for the transportation service; and determining compensation for the driver for the first time period, wherein the determined compensation is the greater of the first minimum amount of compensation specified in the first minimum fare offer and the tracked compensation accrued by the first driver during the first time period for servicing the at least one ride for the transportation service.

Abstract: The disclosed systems can regulate access to an online mode for a dynamic transportation matching system. For example, based on a provider efficiency parameter associated with the dynamic transportation matching system, the disclosed systems can prevent a transportation provider device from switching to the online mode within a geographic area. In addition, the disclosed systems can detect a pattern of behavior and, based on a comparison between the pattern of behavior and a behavioral threshold, cause a transportation provider device to switch from the online mode to an offline mode. Further, the disclosed systems can provide a map interface that indicates where a transportation provider device can switch from the offline mode to the online mode. Additionally, the disclosed systems can determine priorities associated with transportation provider devices and, based on the prioritization, selectively allow the transportation provider devices to switch from the offline mode to the online mode.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a starting location and a destination location. A route from the starting location to the destination location is determined. A video preview of the route is generated based on map data associated with the route. The video preview depicts one or more vehicles to be taken by a user traversing the route.

Abstract: Methods and systems for generating multi-modal transportation proposals are presented. In one embodiment, a system is provided that includes a processor and a memory storing instructions. The processor may execute the instructions to receive a request for transportation from an origin location to a destination location and to generate a proposal identifying a route between the origin location and destination location. Generating the proposal may include determining a primary modality for a primary segment with a primary starting location and a primary ending location. A starting portion may be identified from the origin location to the primary starting location and an ending portion may be identified from the primary ending location to the destination location. A secondary modality may be identified for transportation along the starting portion and/or the ending portion. The primary and secondary modality may be assigned to the proposal, which may be transmitted to a mobile device.