Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

The disclosed subject matter relates to an Intelligent Transportation System (ITS) service station, comprising: a receiver configured to receive, from one or more sensors, information on a set of road users perceived by the sensors, wherein said road user information includes, for each road user in the set, a respective geographical position determined by the sensors; a controller connected to the receiver and configured to determine, on the basis of said geographical positions, whether a subset of road users in said set meets a predetermined criterion of mutual proximity; and a transmitter connected to the controller and configured to transmit, when said subset comprises two or more road users, a service message indicative of said subset.

The disclosed subject matter relates to an Intelligent Transportation System (ITS) service station, comprising: a receiver configured to receive, from one or more sensors, information on a set of road users perceived by the sensors, wherein said road user information includes, for each road user in the set, a respective geographical position determined by the sensors; a controller connected to the receiver and configured to determine, on the basis of said geographical positions, whether a subset of road users in said set meets a predetermined criterion of mutual proximity; and a transmitter connected to the controller and configured to transmit, when said subset comprises two or more road users, a service message indicative of said subset.

Embodiments relate to a method, an apparatus, a computer program, a base station and a vehicle for providing information related to an approaching vehicle. The method comprises Receiving (110) information related to a velocity of a plurality of vehicles. The method further comprises Determining (120) the information related to the approaching vehicle based on the information related to the velocity of the plurality of vehicles. The information related to the approaching vehicle indicates a presence of a vehicle of the plurality of vehicles having a velocity higher than an average velocity of the plurality of vehicles. The method further comprises Providing (130) the information related to the approaching vehicle to at least a subset of vehicles of the plurality of vehicles.

Systems, methods, and apparatuses are disclosed for predicting or estimating the value of a variable speed sign (VSS). Probe data is received from multiple vehicles associated with a road segment. Location values are derived from the probe data. Center distance values are calculated based on the location values and the road segment. Clusters are derived from the probe data. Center distance values are grouped according to the respective clusters and a lane is assigned to at least one cluster based on the center distance values. The speed of the cluster predicts or estimates the corresponding lane of the VSS.

Systems, methods, and apparatuses are disclosed for predicting or estimating the value of a variable speed sign (VSS). Probe data is received from multiple vehicles associated with a road segment. Location values are derived from the probe data. Center distance values are calculated based on the location values and the road segment. Clusters are derived from the probe data. Center distance values are grouped according to the respective clusters and a lane is assigned to at least one cluster based on the center distance values. The speed of the cluster predicts or estimates the corresponding lane of the VSS.

Devices, systems, and methods related to incentives for complying with suggested driving operations can include determining suggested driving operations, determining a desirability of the suggested driving operations, communicating the desirability of the suggested driving operations, and optionally monitoring compliance with the suggested driving operations.

Devices, systems, and methods related to incentives for complying with suggested driving operations can include determining suggested driving operations, determining a desirability of the suggested driving operations, communicating the desirability of the suggested driving operations, and optionally monitoring compliance with the suggested driving operations.

A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.

A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.