Abstract: Informed towing is provided. Towing information is identified, by a towing vehicle, with respect to a towed vehicle to be towed by the towing vehicle. A towed configuration of the towed vehicle is monitored. Responsive to the towed configuration of the towed vehicle being incorrect according to the towing information, a warning is displayed in the HMI indicating the incorrect towing configuration.

Abstract: A system includes a first most probable cause (MPC) module, a second MPC module, and an integrated MPC module. The first MPC module is configured to determine a first most probable cause of an issue on a vehicle based on at least one service procedure for the vehicle. The second MPC module is configured to determine a second most probable cause of the issue based on repair data for other vehicles. The integrated MPC module is configured to determine an integrated most probable cause of the issue based on the first and second most probable causes.

Abstract: A method for determining a route (100) for a vehicle. When selecting a route segment (110, 112) of the route (100), a condition value assigned to the route segment (110, 112) and a default value associated with the route (100) are taken into account. The condition value represents a road condition of the route segment (110, 112) and the default value represents a road quality that is preferred for the route (100) and is independent of a road category.

Abstract: A method by smart mobility platform includes a mobile application executing on a mobile device, an authentication server, a mobile application server, and a driving telemetry service. The mobile application registers and activates a user account for driving monitoring and rewards. Trip detection is enabled and raw data is transformed to driving factors by the driving telemetry service. The mobile application server converts the driving factors to a safe driving score. The score may be combined with a customer value to determine reward payout. The platform authenticates users and validates requests using electronic mail and short messaging services to ensure privacy and security.

Abstract: The present invention relates to a power plant early warning device and method which employ a multiple prediction model, and includes: a plurality of prediction models which receive information about the operation states of equipment in a power plant, and output prediction values and the reliabilities of the prediction values; a reliability analysis module which quantizes and analyzes the reliabilities output from the plurality of prediction models to determine the ranks of the plurality of prediction models, and calculates a final prediction value; a comparison module which compares the final prediction value with an actual measurement value, and outputs a residual; and a determination module which analyzes the residual to determine whether there are defects in the operating states of the equipment in the power plant.

Abstract: In one aspect, a graphical user interface (GUI) for a dynamic model creation (DMC) system may be provided. The GUI may include: (i) a first display area programmed to display the at least one model including a visual representation of a determined location where a collision occurred, and/or (ii) a second display area programmed to display at least one data table corresponding to the at least one model, wherein movement of a visual representation of a vehicle on the GUI during a simulation of the at least one model is controlled at least by telematics data, and wherein the GUI is configured to receive user inputs such that the visual representations in the first display area and the at least one data table in the second display area are dynamically modifiable by a user.

Abstract: A system and method for automatically scanning an electronic system of a vehicle with an automated diagnostic scanning tool having a controller, at least one vehicle communication protocol, at least one diagnostic scanning program, and an automated control program. The automated diagnostic scanning tool is configured to be connected to the electronic system of a vehicle by a cable and detects power from the vehicle via the cable, with the automated diagnostic scanning tool further configured to select and launch a diagnostic scanning program to perform a diagnostic scan of the electronic system of the vehicle in response to detecting power from the vehicle.

Abstract: In a vehicle, GV control and M+ control are executed by generating braking/driving forces from a brake hydraulic pressure control device and a drive device during steering. A controller estimates (calculates), by a posture estimation unit, a pitch amount and a roll amount (predicted pitch rate and predicted roll rate) that occur in the vehicle through use of a moment command of the M+ control and a longitudinal G command of the GV control. The controller adjusts damping forces of damping force variable dampers through use of the estimated pitch amount and the estimated roll amount (predicted pitch rate and predicted roll rate) so that a pitch amount calculated by a pitch control unit and a roll amount calculated by a roll suppression unit approach respective target values.

Abstract: A vehicle computer can be programmed to detect, in a vehicle, one of a plurality of variations, based on data received from one or more vehicle sensors or a vehicle interface, to transmit, to a remote computer, variation data including the detected variation and a version of software in the vehicle computer, wherein the variation data identifies the detected variation and the version of the software, to receive, from the remote computer, a response including that a software update is identified based on the detected variation, and upon identifying the software update, to download and install the software update in the vehicle computer.

Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Voice Analysis Engine. According to various embodiments, the Voice Analysis Engine receives first streaming prompt data from a computing device. The Voice Analysis Engine analyzes the first streaming prompt data to provide feedback to the user of the computing device. Upon determining the first streaming prompt data satisfies one or more criteria, the Voice Analysis Engine receives second streaming prompt data from the computing device. The Voice Analysis Engine analyzes the streaming prompt data to predict a respiratory state of the user of the computing device.

Abstract: Techniques for validating operation of a perception system that is configured to detect objects in an environment of a vehicle are described herein. The techniques may include receiving log data representing a real scenario in which the vehicle was traversing an environment. Based at least in part on the log data, an error may be identified that is associated with an output received from the perception system while the vehicle was traversing the environment. In some examples, a determination may be made that a magnitude of the error violates a perception system requirement, the requirement established based on a determination that the magnitude of the error would contribute to an adverse event in an alternative scenario. Based on the magnitude of the error contributing to the adverse event, data associated with the error may be output for use in updating the perception system to at least meet the requirement.

Abstract: A driving assistance apparatus includes a memory and a processor in communication with the memory and configured to execute instructions stored in the memory operable to determine at least one surrounding vehicle based on location information of the at least one surrounding vehicle, wherein the at least one surrounding vehicle is configured to receive at least one vehicle signal from a host vehicle. The processor is further configured to determine a line of sight (LOS) of the at least one surrounding vehicle based on the at least one vehicle signal, wherein the line of sight is defined by a perceivability of a driver of the at least one surrounding vehicle to view the at least one vehicle signal. The processor is further configured to determine a confidence level of the at least one surrounding vehicle based on the determined LOS.

Abstract: An electronic control unit includes a first process flag setting unit that is configured to set a first process flag indicative of a progress of a first process that is one of a series of processes related to a program rewrite, a second process flag setting unit that is configured to set a second process flag indicative of a progress of a second process that is an other of the series of processes related to the program rewrite, and a retry point specifying unit that is configured to specify, based on the first process flag and the second process flag, a retry point for resuming the program rewrite when the program rewrite is suspended. The retry point specifying unit is further configured to store an amount of the update data that has been written until the program rewrite was suspended and request the vehicle master device to transfer the update data based on the stored amount of the update data when resuming the program rewrite.

Abstract: A computer implemented system is provided for improving performance of transmission in real-time or near real-time applications from at least one transmitter unit to at least one receiver unit. The system includes an intelligent data connection manager utility that generates or accesses performance data for two or more data connections associated with the two or more communication networks.

Abstract: A method of providing vehicle diagnostics may include receiving a first communication from a user, processing the first communication using a natural language processing (NLP) model to produce NLP model output including a sequence of words, extracting one or more keywords from the sequence of words, and instructing a data acquisition and transfer device (DAT) connected to an OBD port of a vehicle to perform a selected function based on the one or more keywords. The method may further include receiving diagnostic data from the DAT, the diagnostic data having been retrieved from the vehicle by the DAT in accordance with the selected function, and determining a diagnostic condition of the vehicle based on the diagnostic data.

Abstract: Technologies and techniques for calculating an overlay of additional information for a display on a display unit. The overlay of additional information may support the driver in the longitudinal control of a vehicle. The overlaying of the additional information may be configured in the form of augmented reality such that it is calculated in a contact analogue manner in relation to one or more objects in the environment of the vehicle. When approaching a vehicle, a spatially extended animation graphic is calculated, wherein the animation graphic has a grid shape consisting of a plurality of grid elements, which extends from the observer vehicle up to the oncoming or preceding vehicle. The spatial extension is calculated such that the driver of the observer vehicle (10) has the impression of a kinematic or dynamic movement of the spatial extension, such as translation and rotation.

Abstract: An electronic control apparatus includes a first controller that is activated upon being fed with electric power through a first electric power feeding path, and a second controller that is fed with electric power through a second electric power feeding path. In the first electric power feeding path, there is provided a power supply switch that is turned on when a switch command is a connection command and turned off when the switch command is a cutoff command. The first controller transmits a state signal indicating whether it is in an activated state or a stopped state. The second controller diagnoses the power supply switch as being abnormal on condition that the state signal indicates the stopped state of the first controller when the switch command is the connection command or the state signal indicates the activated state of the first controller when the switch command is the cutoff command.

Abstract: In various examples, activation criteria and/or braking profiles corresponding to automatic emergency braking (AEB) systems and/or collision mitigation warning (CMW) systems may be determined using sensor data representative of an environment to a front, side, and/or rear of a vehicle. For example, activation criteria for triggering an AEB system and/or CMW system may be adjusted by leveraging the availability of additional information with regards to the surrounding environment of a vehicle—such as the presence of a trailing vehicle. In addition, the braking profile for the AEB activation may be adjusted based on information about the presence of and/or location of vehicles to the front, rear, and/or side of the vehicle. By adjusting the activation criteria and/or braking profiles of an AEB system, the potential for collisions with dynamic objects in the environment is reduced and the overall safety of the vehicle and its passengers is increased.

Abstract: Described herein are systems, methods, and non-transitory computer-readable media for self-detection of fault conditions experienced by vehicle components, generation of device health codes indicative of the fault conditions, and broadcasting of the device health codes over mixed vehicle communication networks. The device health codes can be parsed to identify fault information, and the fault information can be assessed along with current vehicle operational data to determine a recommended vehicle response measure to one or more fault conditions experienced by one or more vehicle components.

Abstract: When it is necessary to charge the battery of one vehicle of a plurality of vehicles, a vehicle management computer acquires information relating to a charging facility that supplies electric power to a charge-discharge device, and information relating to the battery of another vehicle, which is different from the first vehicle, and which battery is connected to the first vehicle via the charge-discharge device. Based on the information relating to the charging facility and the information relating to the battery of the other vehicle, the vehicle management computer determines which is least expensive, a first cost associated with charging the battery of the first vehicle using the electric power that is supplied from the charging facility, or a second cost associated with charging the battery of the first vehicle using the electric power that is discharged from the battery of the other vehicle.

Abstract: Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

Abstract: A self-driving safety evaluation method, including determining RB based on a risk value of a vehicle in a shadow driving mode in a first measurement unit, where RB is a risk value of the vehicle in the shadow driving mode in a plurality of measurement units, and determining RC based on a risk value of the vehicle in a self-driving mode based on a preset route in the first measurement unit, where RC is a risk value of the vehicle in the self-driving mode based on the preset route in the measurement units, where RB and RC are used to determine whether safety of the vehicle in the self-driving mode meets a requirement.

Abstract: An example operation may include one or more of receiving, at a server, sensor data from one or more sensors disposed on a vehicle, receiving, at the server, additional sensor data from a computing device operating inside the vehicle, determining the sensor data and the additional sensor data correspond to the vehicle's operational status, determining whether one or more of the sensor data and the additional sensor data exceed one or more thresholds, and when one or more of the sensor data and the additional sensor data exceed the one or more thresholds, providing a value to the vehicle.

Abstract: An onboard relay device comprises memory and a processor connected to the memory. The processor is configured to receive a data transmission request from a request originator, determine whether received data that is data received from a transmission originator is variable data or fixed data, record the received data in a cache memory section temporarily in cases in which the received data is the fixed data, determine whether or not transmission request data that is data subject to a transmission request from the request originator is recorded in the cache memory section, and in cases in which the processor has determined the transmission request data to be the received data recorded in the cache memory section, transmit the received data recorded in the cache memory section to the request originator as the transmission request data.

Abstract: Systems and methods for a cloud-based server system configured for an On-Demand Autonomy (ODA) service are disclosed. The cloud-based server in communication with a first vehicle and a second vehicle to receive a trip request for the ODA service from the first vehicle, and seek an agreement to establish a virtual link with the first vehicle to the second vehicle by identifying one second vehicle by broadcasting the trip request to the group of second vehicles; identifying a second vehicle from submitted responses based on an application using a modeled clone with a set of functionalities to perform a matching operation between the first and second vehicles; and coordinating responses based on results of the matching operation to confirm an acceptance of the agreement; and creating a trip plan for the trip request for the ODA service based on a set of preferences received from each of the vehicles.

Abstract: Various applications for use of mass estimations of a vehicle, including to control operation of the vehicle, sharing the mass estimation with other vehicles and/or a Network Operations Center (NOC), organizing vehicles operating in a platoon and/or partially controlling the operation of one or more vehicles operating in a platoon based on the relative mass estimations between the platooning vehicles. When vehicles are operating in a platoon, the relative mass between a lead and a following vehicle may be used to scale torque and/or brake commands generated by the lead vehicle and sent to the following vehicle.

Abstract: A method for processing a vehicle end-of-line (EOL) testing routine includes determining whether a diagnostic trouble code (DTC) is issued during the vehicle EOL testing routine and obtaining vehicle network data generated during the vehicle EOL testing routine. The method includes, in response to a determination that the DTC is issued during the vehicle EOL testing routine, storing the vehicle network data in a database, associating the DTC with an electronic control module from a plurality of electronic control modules, identifying a designated agent from among a plurality of agents based on the DTC and a ECM-agent directory, and electronically transmitting a notification to the designated agent, where the notification provides access to the vehicle network data and the DTC.

Abstract: A center device is configured to: acquire behavior data indicating a behavior of a user; store the behavior data; acquire vehicle state data indicating a vehicle state; store the vehicle state data; create a distribution plan of reprogramming data to be distributed to vehicle devices of the vehicle by using the behavior data and the vehicle state data; and distribute the reprogramming data to the vehicle devices according to the created distribution plan.

Abstract: Systems and method are provided for controlling a vehicle.

Abstract: A data transmission system for a mobile platform comprises non-volatile data storage media, a network interface, and control circuitry. The control circuitry is configured to establish a first connection with one or more onboard passenger service devices providing a passenger service at the mobile platform using the network interface. The control circuitry is further configured to receive a set of system log data from the one or more onboard passenger service devices via the network interface and store one or more log signatures in the non-volatile data storage media. The control circuitry is further configured to detect faults fault related to onboard passenger service devices, store transmission rule data that includes rules for filtering system log data, filter the set of system log data based on the transmission rule data, and transmit a subset of system log data to the remote computing device via the network interface.

Abstract: An aerodynamic deflector on the vehicle is repositionable. An actuator is coupled with the aerodynamic deflector. A controller configured to: detect a performance mode of operation of the vehicle; determine a requested lateral acceleration; calculate a control adjustment of the aerodynamic deflector to generate a downforce to achieve the requested lateral acceleration and maximize lateral grip of the vehicle; and operate the actuator to effect the control adjustment of the aerodynamic deflector to generate the downforce on the vehicle.

Abstract: A driver nudge system is operated within a vehicle to indicate a warning to a driver of the vehicle. The system includes a steering wheel, a vehicle sensor monitoring an operating environment of the vehicle, and an electric motor connected to the steering wheel configured to nudge the steering wheel in an opposite direction to a threat diagnosed according to data from the vehicle sensor.

Abstract: A travel amount estimation apparatus includes a vehicle travel amount calculation unit, a sensor travel amount calculation unit, an error cause determination unit, and a vehicle travel amount correction unit. The vehicle travel amount calculation unit acquires vehicle information and calculates a vehicle travel amount based on the vehicle information. The sensor travel amount calculation unit acquires sensor information from an external sensor and calculates a sensor travel amount based on the sensor information. The error cause determination unit determines an error cause of the vehicle travel amount. The vehicle travel amount correction unit corrects the vehicle travel amount by using the sensor travel amount in accordance with the error cause and estimates a travel amount of the vehicle on which it is mounted.

Abstract: A fuel-based flight indicator apparatus for an electric aircraft is illustrated. The apparatus comprises a flight indicator and a computing device communicatively connected to the flight indicator, wherein the computing device is configured to receive a battery datum from a battery sensor located in the electric aircraft, receive an environmental datum from an environmental sensor located in the electric aircraft, determine an indicator datum as a function of the battery datum, the environmental datum, and a flight plan, and display the indicator datum on the flight indicator.

Abstract: An embodiment of the present invention discloses an automobile diagnostic method, apparatus and a vehicle communication interface. The automobile diagnostic method is applied to a vehicle communication interface, the method including: acquiring a vehicle identification number of a vehicle based on a first communication protocol; determining a first diagnostic protocol according to the vehicle identification number; acquiring and storing to-be-diagnosed information of the vehicle based on the first diagnostic protocol; and after a connection is established to a diagnostic host, sending the to-be-diagnosed information to the diagnostic host. In the foregoing way, according to the embodiment of the present invention, efficiency of automobile diagnosis may be improved.

Abstract: Systems and methods are provided for adjusting a control of a vehicle system based on a condition of an occupant. The system includes a replaceable or upgradeable electronic skin removably coupled to an interior vehicle component. The electronic skin includes at least one sensor positioned therein, configured to monitor/obtain a biometric, physiological, or wellness condition measurement from an occupant. The system includes one or more processors and a memory communicably coupled thereto. An occupant comfort module is provided including instructions that, when executed, collect and monitor feedback from the at least one sensor; determine that the feedback exceeds a predetermined threshold; and determine an adjustment for a vehicle system based on the feedback. A control module may be provided including instructions that, when executed by the one or more processors, cause the vehicle system to change at least one setting based on the adjustment determined by the occupant comfort module.

Abstract: Systems and methods for accessing protected activity data of a vehicle. A system may include a vehicle key and a user key. The vehicle key may be configured to be managed by a manufacturer of the vehicle. The user key may be configured to be managed by a user of the vehicle. The vehicle key and the user key may decrypt the vehicle activity data when used together. The system may include a third-party key configured to be managed by a third-party and decrypt the vehicle activity data. The vehicle key and the user key may modify the vehicle activity data when used together. Alternatively, the vehicle key, the user key, and the third-party key may modify the vehicle activity data when used together.

Abstract: Techniques are described for using variables associated with vehicle wheels (e.g., linear velocity at a wheel and orientation of the wheel) to estimate velocity of a vehicle during a turn maneuver. In examples of the disclosure, in association with one or more wheels, a wheel orientation during the maneuver and a linear speed during the maneuver may be determined, and well as a yaw rate (e.g., from an inertial measurement unit, gyroscope, etc.) of the vehicle. Examples of the present disclosure include, based on the variables associated with the wheel(s) and the yaw rate associated with the turn maneuver, estimating a vehicle velocity, which may be used by various downstream components, such as to determine or update a pose of a vehicle as part of a localization operation.

Abstract: Systems and methods for automated accident analysis such as automatic multi-device accident detection and verification, automated multi-device information capture, and automated geospatial and geo-relational digital scene recreation.

Abstract: A transparency includes a plurality of sheets. Each sheet of the plurality of sheets can include a first major surface, an opposite second major surface, and a peripheral surface between the first major surface and the second major surface. The transparency can further include: an inter-sheet layer positioned between the first major surface of one of the sheets of the plurality of sheets and the second major surface of an adjacent sheet of the plurality of sheets; and a wireless sensor positioned in the inter-sheet layer. The wireless sensor includes a sensory portion configured to measure information representative of a condition of a portion of the transparency and a wireless transmitter configured to wirelessly transmit the received information to a wireless receiver.

Abstract: Unmanned Aerial Vehicles (UAVs) are provided with hammers having contact surfaces to produce acoustic signals in structures to be inspected. By selecting a suitable flight path, the contact surface can be dragged across or tapped against the structure to produce acoustic signals indicative of structure condition. Acoustic detectors are coupled to the UAV to produce detected acoustic signals that can be stored, communicated, and/or processed to access to arbitrary structure surfaces, including bottom surfaces of bridge decks and to locate delaminations.

Abstract: An apparatus comprising a radar component and a temperature sensor. The radar component may be configured to detect a presence of a person in a vehicle and determine an age range of the person detected. The temperature sensor may be configured to determine an ambient temperature in the vehicle and operate independently from a heating and cooling system of the vehicle. The apparatus may be configured to operate when the vehicle is turned off. A processor may be configured to determine an urgency level in response to the age range of the person detected and the ambient temperature. The processor may be configured to generate escalating actions in response to the urgency level.

Abstract: A method of verifying audio notifications generated within a vehicle includes generating an audio notification using an audio generation path that includes at least a controller, an audio notification generator and a speaker, wherein the controller generates an audio notification request utilized by the audio notification generator to generate an audio signal, and wherein the speaker converts the audio signal into the audio notification. The method further includes monitoring sounds within the vehicle using a microphone separate from the audio generation path and analyzing the monitored sounds using an audio analyzer, wherein the audio analyzer verifies whether the audio notification was generated. Feedback is provided to the audio generation path regarding whether generation of the audio notification was verified.

Abstract: The magnitude and frequency of a peak in detected vibrational energy emitted from a component that includes a periodic portion is provided to monitor the component for faults. A Fast Fourier Transform of the signal is taken to generate a spectrum. A maximum index in the spectrum is found between a determined frequency bound. An array of parameters is generated and a determined optimized transform root is used on the array of parameters. An interpolated peak location is estimated based on the array and an interpolated frequency is found based on the peak location. An interpolated magnitude is then determined. The use of the optimized transform root in the processing results in significant improvements to the magnitude and frequency estimations, which can improve, for example, detection of defects from vibration spectra of rotating components, estimates of energy radiated from an electronic component, or analysis of spectral content of ionizing radiation.

Abstract: A method for estimating an effective radius of a tire of a vehicle, the method may include (i) obtaining sensed information that reflects (a) a distance passed by the vehicle during one or more driving sessions, (b) a rotational speed of at least a wheel that comprises the tire during the one or more driving sessions, (c) values of tire radius affecting parameters during the one or more driving sessions, wherein the tire radius affecting parameters comprise a vehicle speed and at least some other tire radius affecting parameters; (ii) selecting at least one portion of the one or more driving sessions; and (iii) determining the effective radius of the tire of the vehicle based on (a) sensed information gained during the at least one portion, the sensed information comprises values of the tire radius affecting parameters during the at least one portion, and (b) one or more relationships between the effective radius of the tire and tire radius affecting parameters.

Abstract: The technology relates to approaches for determining appropriate stopping locations at intersections for vehicles operating in a self-driving mode. While many intersections have stop lines painted on the roadway, many others have no such lines. Even if a stop line is present, the physical location may not match what is in store map data, which may be out of date due to construction or line repainting. Aspects of the technology employ a neural network that utilizes input training data and detected sensor data to perform classification, localization and uncertain estimation processes. Based on these processes, the system is able to evaluate distribution information for possible stop locations. The vehicle uses such information to determine an optimal stop point, which may or may not correspond to a stop line in the map data. This information is also used to update the existing map data, which can be shared with other vehicles.

Abstract: Methods, apparatus, and computer readable media are described related to causing processing of sensor data to be performed in response to determining a request related to an environmental object that is likely captured by the sensor data. Some implementations further relate to determining whether the request is resolvable based on the processing of the sensor data. When it is determined that the request is not resolvable, a prompt is determined and provided as user interface output, where the prompt provides guidance on further input that will enable the request to be resolved. In those implementations, the further input (e.g., additional sensor data and/or the user interface input) received in response to the prompt can then be utilized to resolve the request.

Abstract: A vehicle may include: a communication device configured to communicate with a server; and a controller configured to obtain a vehicle data through a network in the vehicle, obtain an analysis program and a setting information about the vehicle data from the server, analyze the vehicle data using the analysis program and the setting information, and control the communication device to transmit an analysis result data of the vehicle data to the server.

Abstract: A method is provided that includes: receiving a plurality of estimated position points, each estimated position point including a timestamp, where each estimated position point is an estimate of a position of a vehicle at a time respective timestamp; receiving on or more path events, where each of the one or more path events includes a timestamp and data from at least one sensor of the vehicle; generating a path from the plurality of estimated position points, where the estimated position points are arranged in order of ascending time represented by the respective timestamp; and interpolating between two of the estimated position points to determine a location corresponding to one of the one or more path events, where the timestamp of the one of the one or more path event corresponds to a time that is between the times represented by the timestamps of the two estimated position points.

Abstract: Aspects of the disclosure relate to a dynamic processing system for roadside service control and output generation. A computing platform may receive, from a client device, video content corresponding to a disabled vehicle, which may include geotagging information corresponding to a location of the disabled vehicle. Based on the video content and the geotagging information, the computing platform may determine a provider output indicating a potential service provider for assisting with the disabled vehicle. The computing platform may send, to the client device, an indication of the provider output. In response to receiving an indication that the potential service provider is acceptable, the computing platform may send a request to dispatch a driver of the potential service provider to the location of the disabled vehicle.