Abstract: A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to access sensor data of a sensor of a vehicle while an adaptive cruise control feature of the vehicle is active, detect, based on the sensor data, an object located along a path of travel of the vehicle, determine that the object is a moveable object based on a radar return of a radar reflector of the object, and responsive to the determination that the object is the moveable object, adjust, by the adaptive cruise control feature, the speed of the vehicle.

Abstract: A system includes a computer on board a vehicle and a server remote from the vehicle. The computer and the server each store a network graph of actions performable by components of the vehicle that includes costs of transitioning between the actions. The computer is programmed to log a sequence of the actions; upon determining that a sub-sequence of the sequence constitutes a lowest-cost path from the beginning action to the final action based on the network graph, store a reduced sequence including a beginning action and a final action of the sub-sequence ordered immediately after the beginning action, the reduced sequence excluding at least one intermediate action from the sub-sequence; and transmit the reduced sequence to a server remote from the vehicle. The server is programmed to determine the sequence from the reduced sequence based on the network graph.

Abstract: A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to monitor a position of a vehicle while an adaptive cruise control feature of the vehicle is set to operate in a standard operation mode, identify, based on the position of the vehicle and on visibility zone information, a limited visibility zone in a route of travel of the vehicle, and cause the adaptive cruise control feature to operate in a modified operation mode while the vehicle is in the limited visibility zone, wherein during operation in the modified operation mode, the adaptive cruise control feature operates in accordance with one or more modified operating parameters.

Abstract: Intelligent ticketing and data offload planning is provided. A data center receives a ticket request from a vehicle requesting to perform a data upload of vehicle data over a communications network. An optimizer is utilized to generate a ticket, the ticket specifying a time and a location for the vehicle to perform the data upload. The ticket is received from the vehicle. The ticket is validated to ensure that the vehicle should still perform the data upload. The vehicle is indicated to perform the data upload over the communications network responsive to the optimizer confirming the data upload to proceed. The data upload is stored to a storage of the data center.

Abstract: The disclosure is generally directed to systems and methods for a mobile device including transmitting a request by the mobile device for a route that considers transportation modalities and route conditions, the request including location data of the mobile device, receiving a recommended route, the recommended route based on low energy hardware based classification of conditions associated with a plurality of available routes, and receiving a recommended transport modality vehicle and a list of known vehicle identifiers associated with the location data. Low energy wireless signals are received by the mobile device with low energy hardware based classifiers from a mobility vehicle including dedicated hardware including a being a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC) and/or hardware supporting a spiking neural network (SNN), the hardware receiving camera and microphone inputs.

Abstract: Transportation-based service share systems and methods are disclosed herein. An example method can include receiving a request from a service provider to reserve a ridehail vehicle for a ridehail having a time frame, the request specifying a service provided by the service provider; determining the ridehail vehicle for the service provider based on the service; and dispatching the ridehail vehicle, the service provider rendering the service during the ridehail.

Abstract: Methods, apparatus, systems, and articles of manufacture to extend brake life cycle are disclosed herein. An example apparatus disclosed herein includes machine readable instructions and processor circuitry to at least one of instantiate or execute the machine readable instructions to activate a brake motor of a brake of a vehicle to cause contact between a brake pad of the brake and a rotor of the brake, compare a power output of the brake motor of the brake to a threshold, and determine a material degradation level of the brake pad based on the comparison of the power output to the threshold.

Abstract: A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to access sensor data of a first sensor of a vehicle while an adaptive cruise control feature of the vehicle is active, detect, based on the sensor data of the first sensor, a stationary object located along a path of travel of the vehicle, wherein the stationary object is located outside of a range of a second sensor of the vehicle, determine a presence of an intersection within a threshold distance of the stationary object that is along the path of travel of the vehicle, and responsive to a determination that the stationary object is a stopped vehicle of the intersection, adjust, by the adaptive cruise control feature, the speed of the vehicle.

Abstract: A system receives a request for course identification and determines specific vehicle off-road capabilities for a vehicle from which the request was received. The system determines, for presentation, one or more courses within a geographic area having terrain over which the vehicle can travel based on the determined capabilities and presents the one or more courses as selectable course options and receive selection of a course from the course options. Also, the system determines, for the selected course, geographic change regions where an optional vehicle feature should be engaged based on crowd-sourced data gathered for the selected course indicating that the vehicle feature is used by more than a threshold number of vehicles while traversing a travel region of the course following the change region and sends the vehicle the geographic change regions and the corresponding vehicle features.

Abstract: A system includes a computer on board a vehicle and a server remote from the vehicle. The computer and the server each store a network graph of actions performable by components of the vehicle that includes costs of transitioning between the actions. The computer is programmed to log a sequence of the actions; upon determining that a sub-sequence of the sequence constitutes a lowest-cost path from the beginning action to the final action based on the network graph, store a reduced sequence including a beginning action and a final action of the sub-sequence ordered immediately after the beginning action, the reduced sequence excluding at least one intermediate action from the sub-sequence; and transmit the reduced sequence to a server remote from the vehicle. The server is programmed to determine the sequence from the reduced sequence based on the network graph.

Abstract: The disclosure generally pertains to systems and methods to predict a vehicle preference of a customer of a rental vehicle agency. An example method to do so involves a computer executing a prediction procedure to obtain and evaluate information associated with a customer. The information can include vehicle ownership history and/or monitoring data obtained from vehicles used by the customer (a personal vehicle, a taxi, and/or a ride share service vehicle, for example). The information may be evaluated by the computer to determine a personal profile of the customer. The personal profile can include items such as physical attributes of the customer, family size, driving characteristics, and/or past vehicle ownership. The personal profile of the customer may then be used by the computer to predict a type of vehicle preferred by the customer and to select, from a vehicle fleet, a vehicle that matches the preferred type of vehicle.

Abstract: A vehicle includes one or more sensors and engages at least one of the one or more sensors to evaluate at least one of a count or location of vehicle occupants prior to an incident. The vehicle determines that an incident has occurred and that at least one of an evaluated count or location of at least one vehicle occupant has changed following the incident. Also, the vehicle engages at least one of the one or more sensors to detect a presence of a prior occupant outside the vehicle following the incident, responsive to determining that the at least one of the evaluated count or location of the at least one vehicle occupant changed and, responsive to detecting the presence of the prior occupant outside the vehicle following the incident, reports the presence to a 3rd party response entity.

Abstract: A system includes a processor that determines a route. The processor determines a plurality of nodes along the route and alternative paths from one node to a successive node along the route through another node. The processor defines the route based on the plurality of nodes and removes at least one node between second and third nodes on the basis that the removed node lies along a least-cost path between the second and third nodes. The processor repeats removal of nodes until a set of minimum nodes to define the route with all non-least-cost path decisions is achieved as a compressed route and transmits the compressed route to at least one second processor that decompresses the compressed route through inclusion of removed nodes, the removed nodes being re-included on the basis of being nodes lying on a least-cost path between two nodes included sequentially in the compressed route.

Abstract: Methods, apparatus, systems, and articles of manufacture to extend brake life cycle are disclosed herein. An example vehicle disclosed herein includes a brake including a rotor and a brake pad and a brake controller to detect a request to determine a wear level of the brake pad, activate the brake to cause contact between the brake pad and the rotor, and determine, based on a latency between the activation of the brake and the contact between the brake pad and the rotor, the wear level.

Abstract: Methods, systems, and computer-readable storage media for identification and routing of a first package within a shipping network that has a damaged shipping label is described. First data for the first package with the damaged label is obtained. Second data for a plurality of packages within the shipping network is obtained. A particular package from the plurality of packages that matches the first package is identified. The identification is performed by applying one or more identification algorithms to the first data and the second data. Applying the identification algorithms includes obtaining as output from each algorithm a subset of possible matches from among the plurality of packages, the possible matches including packages identified by the one or more identification algorithms as having one or more characteristics similar to the first package. Information from a label of the particular package is used to route the first package through the shipping network.

Abstract: Optimizing a charger network is provided. For each vehicle trip of a plurality of vehicle trips defined by trip information maintained to a storage, a set of possible routes from an origin location of the respective vehicle trip to a destination location of the respective vehicle trip is generated using a routing algorithm. Best routes are identified based on the set of possible routes. Individual charger recommendations are identified using the best routes. Collective charger recommendations across the plurality of vehicle trips based on the individual charger recommendations. The collective charger recommendations are utilized to optimize the charger network.

Abstract: The disclosure is generally directed to systems and methods for one vehicle to follow another vehicle using alternative types of navigation assistance. In a first example method, a first vehicle uses a first type of navigation assistance to follow a second vehicle. The first type of navigation assistance can be based on satellite signals. A navigation system provided in the first vehicle may detect a loss of the first type of navigation assistance. The first vehicle may then follow the second vehicle to an intermediate location along the travel route, based on a second type of navigation assistance. In an example scenario, the second type of navigation assistance is based on a wireless signal containing information of a travel route of the second vehicle. The wireless signal may be generated by a device located in the second vehicle and/or by a device located outside the second vehicle.

Abstract: Systems and methods for mixed use rideshare services are disclosed herein. An example method can include determining a rideshare route for a vehicle, the rideshare route identifying a rider and a package, receiving the rider, receiving the package, the package being received as a first mile portion of package return, and delivering the rider to a first drop off location and the package to a second drop off location.

Abstract: Transportation-based service share systems and methods are disclosed herein. An example method can include receiving a request from a service provider to reserve a ridehail vehicle for a ridehail having a time frame, the request specifying a service provided by the service provider; determining the ridehail vehicle for the service provider based on the service; and dispatching the ridehail vehicle, the service provider rendering the service during the ridehail.

Abstract: The disclosure is generally directed to systems and methods for a mobile device including transmitting a request by the mobile device for a route that considers transportation modalities and route conditions, the request including location data of the mobile device, receiving a recommended route, the recommended route based on low energy hardware based classification of conditions associated with a plurality of available routes, and receiving a recommended transport modality vehicle and a list of known vehicle identifiers associated with the location data. Low energy wireless signals are received by the mobile device with low energy hardware based classifiers from a mobility vehicle including dedicated hardware including a being a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC) and/or hardware supporting a spiking neural network (SNN), the hardware receiving camera and microphone inputs.