Aspects of the disclosure relate to computing platforms that utilize machine learning to reduce false positive/negative collision output generation. A computing platform may apply machine learning algorithms on received data to generate a collision output. In response to generating the collision output indicating a collision, the computing platform may identify a data collection location. If the data collection location is within a predetermined radius of a false positive collection location, the computing platform may modify the collision output to indicate a non-collision. If the data collection location is not within the predetermined radius, the computing platform may compute a score using telematics data and compare the score to a predetermined threshold. If the score does not exceed the predetermined threshold, the computing platform may modify the collision output to indicate a non-collision. If the score exceeds the predetermined threshold, the computing platform may affirm the collision output indicating a collision.

A method of facilitating a fleet exchange includes retrieving a fleet and retrieving a set of workers, analyzing the fleet and the set of workers using smart scheduling to generate allocations, and displaying the allocations to the workers. In another aspect, a non-transitory computer readable medium includes program instructions that when executed, cause a computer system to receive vehicle allocation request, retrieve worker information and a worker calendar, generate an allocation, and display the allocation in a display device. A computing system for facilitating fleet exchange includes one or more processors and a memory including computer executable instructions that, when executed by the one or more processors, cause the computing system to retrieve a fleet and a set of workers, analyze the fleet and the set of workers to generate allocations, and display the allocations in a respective computing device of the workers.

Provided is an estimating system including: at least one memory configured to store computer program code; and at least one processor configured to access said at least one memory and operate according to said computer program code, said computer program code including: via point acquisition code configured to cause the at least one processor to acquire a position of a via point, wherein the route is a path followed by a mobile object when the mobile object moves toward a destination; staying time period code configured to cause the at least one processor to estimate, based on the position of the via point, a staying time period; and arrival time code configured to cause the at least one processor to estimate, by including the staying time period, an arrival time of the mobile object at the destination.

The present disclosure is directed to using anomaly data detected in traffic data to efficiently initiate remote assistance sessions. In particular, a computing system can receive, from a computing device associated with a human-driven vehicle, travel data for the human-driven vehicle. The computer system can identify a navigation anomaly associated with the human-driven vehicle based on the travel data. The computer system can generate, based on the identified navigation anomaly, an anomaly entry for storage in an anomaly database, the anomaly entry comprising geofence data describing a geographic area associated with the navigation anomaly. The computer system can determine, based on location data received from an autonomous vehicle and the geofence data, that the autonomous vehicle is entering the geographic area associated with the navigation anomaly. The computer system can initiate a remote assistance session with the autonomous vehicle.

Various embodiments include methods that may be performed in a computing device of a vehicle for communicating permanent vehicle identification information in vehicle communications in response to detecting that there is a need to send the vehicle permanent identification information to a concerned party. The computing device may generate a message including the vehicle permanent identification information, and transmit the generated message to a roadside unit for routing to the concerned party. In some embodiments, the permanent vehicle identification information may be included in cellular vehicle-to-everything (C-V2X) protocol messages.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

Implementations include providing travel assistance services via a mobile device to dispatch a travel assistance vehicle to a user and transport the user to a safe destination. For example, a user of the travel assistance system may desire to be removed from a potentially dangerous situation, such as when traveling internationally in which the user may be unable to contact the authorities directly. The travel assistance system may be accessed by the mobile device in response to a situation for which a user may request a type of travel assistance response, such as a travel assistance vehicle or instructions on navigating a potentially unsafe situation. A travel assistance response may be provided based on information obtained from the mobile device, secondary information from databases, and/or a user profile. A risk assessment of the situation may be calculated by the system to determine the travel assistance response.

A method and system for providing a companion autonomous vehicle are described. In one embodiment, a method includes linking a companion autonomous vehicle to at least one vehicle, device, or user. The companion autonomous vehicle is tethered to the at least one vehicle, device, or user such that the companion autonomous vehicle is configured to stay within a predetermined range of the at least one vehicle, device, or user. The method further includes operating the companion autonomous vehicle to travel along with the tethered at least one vehicle, device, or user within the predetermined range.

An impact tracking system includes a sensor module that mounts to a fixed crash attenuator, sign, guardrail, or other roadway devices installed along a roadway. When the crash attenuator or other asset is impacted by an errant vehicle, the impact tracker, comprising a sensor system, senses and captures the impact data and sends an alert message to a remote receiver. The receiver may comprise known data receiving means, such as computers or phone systems, which may receive emails, text messages, photos, and the like in real or near real time. Received data may be analyzed, stored, and/or re-transmitted to additional receivers, which may include road authorities, such as transportation departments responsible for inspecting and repairing the impact attenuators.

Electronic light emitting flares and related methods. Flares of the present invention include various features such as self-synchronization, remote control, motion-actuated or percussion-actuated features, dynamic shifting between side-emitting and top-emitting light emitters in response to changes in positional orientation (e.g., vertical vs. horizontal) of the flare; overrides to cause continued emission from side-emitting or top-emitting light emitters irrespective of changes in the flare's positional orientation; use of the flare(s) for illumination of traffic cones and other hazard marking or traffic safety objects or devices, group on/off features, frequency specificity to facilitate use of separate groups of flares in proximity to one another, selection and changing of flashing patterns and others.