A method and apparatus are described for providing result data, which relate to a motor vehicle environment with an infrastructure device, for guiding a receiving motor vehicle through an infrastructure presenting a complex traffic situation. At least one motor vehicle having at least one sensor device is selected by the infrastructure device. The sensor device of the selected motor vehicle detects sensor data, which describe at least part of the motor vehicle environment. The infrastructure device transmits a query message to the selected motor vehicle. The selected motor vehicle transmits the sensor data to the infrastructure device in response to the query message. The infrastructure device determines result data from the sensor data and provides the result data to the receiving motor vehicle.

Embodiments described herein may provide a method for identifying geo-tagged objects or events and estimating the probability that a vehicle path will intersect with the geo-tagged object or event. Methods may include: determining a first map-matched location and a second map-matched location; determining a plurality of road segments emanating from or leading to the first map-matched location, a portion of which connect between the first map-matched location and the second map-matched location; calculating at least one of a weight or a turn probability for turning onto a road segment for each road segment of the plurality of road segments; and determining, from the weight or the turn probability associated with each road segment of the portion of road segments that connect between the first map-matched location and the second map-matched location, a probability of a path taken between the first map-matched location and the second map-matched location.

A method including receiving, from sensor(s) of a mobile device in a driven vehicle, current speed of the vehicle, current travel direction of the vehicle, and current location of the vehicle with respect to a road network. The method including receiving contextual data indicating a plurality of triggering conditions located along road segment(s) present in the road network. The method including identifying a road segment of interest based on the current location and current travel direction of the vehicle. The method including identifying a triggering condition in a vicinity of the road segment of interest. The method including generating an alert related to the triggering condition, wherein generating the alert includes: determining an alert modality for the alert and a set of alert characteristics for the alert modality. The method including outputting the alert with the alert modality and set of alert characteristics to the user using the mobile device.

A collision avoidance system includes: an onboard acquisition unit provided in a vehicle traveling on a road that acquires state quantity data indicating a state quantity of a pneumatic tire of the vehicle; an onboard transmission unit provided in the vehicle that transmits the state quantity data acquired by the onboard acquisition unit to a data acquisition roadside device installed on the road; an abnormality determination unit that determines whether or not the state quantity data is abnormal; and a management device including a data acquisition unit that acquires the state quantity data from the data acquisition roadside device, a data storage unit that stores the state quantity data acquired by the data acquisition unit, and a data distribution unit that distributes the state quantity data determined as abnormal by the abnormality determination unit.

A system and method of identifying and quantifying congestion within a traffic stream including obtaining telemetric data from a plurality of vehicles traveling within a plurality of normalized road segments, determining a property of each normalized road segment based on the telemetric data and a road profile for each road segment, determining a disruption score indicative of a level of disruption in a traffic flow within each road segment, mapping the road segments within a two-dimensional spatial-temporal grid of cells, wherein each cell represents a normalized road segment at a specified time, for each cell, determining if the traffic flow is congested, identifying a congested traffic stream including a plurality of contiguous cells that have congested traffic flow, quantifying the congested traffic stream, and providing an output signal.

An apparatus for indicating a traffic hindrance risk, having a traffic hindrance information generating server that generates traffic hindrance information for links that define a driving route, and a weather information generating server that generates weather information from weather data distributed by a meteorological agency with respect to an area including the driving route. In the apparatus, a tabular data is generated together with congestion degree information by sorting foul weather information into a plurality of level categories in accordance with a degree of traffic hindrance when the weather information includes at least one item of foul weather information, and a traffic hindrance occurrence risk predictive value meaning possibility of traffic hindrance occurrence with respect to the driving route for a predetermined future period is calculated to be viewed by an operator of the vehicle.

Embodiments described herein may provide a method for identifying geo-tagged objects or events and estimating the probability that a vehicle path will intersect with the geo-tagged object or event. Methods may include: determining a first map-matched location and a second map-matched location; determining a plurality of road segments emanating from or leading to the first map-matched location, a portion of which connect between the first map-matched location and the second map-matched location; calculating at least one of a weight or a turn probability for turning onto a road segment for each road segment of the plurality of road segments; and determining, from the weight or the turn probability associated with each road segment of the portion of road segments that connect between the first map-matched location and the second map-matched location, a probability of a path taken between the first map-matched location and the second map-matched location.

A system for context based alert filtering using ranked risk from vehicle events and/or an accident database includes an interface and a processor. The interface is configured to receive a location of a translating object. The processor is configured to trigger a warning to the translating object based at least in part on its location and the existence of an associated hazard, wherein a secondary condition distinct from the hazard is used to determine relevance of the hazard.

A system and method are disclosed herein that are configured to direct traffic along a guideway. The system and method are configured to allow a user to enter the guideway and travel along an optimized route based on a comparison of routes between a predetermined origin and destination. Various slots are defined along the guideway and the control server is configured to direct vehicles into predetermined slots based on tracking information for the vehicles.

A computer system that manages traffic flow is described. During operation, the computer system may receive information specifying or corresponding to an estimated time of arrival of a vehicle at an intersection. Then, the computer system may receive second information corresponding to traffic conditions in an environment (such as traffic flows), where the traffic conditions are associated with one or more other intersections that input traffic to the intersection, that received output traffic from the intersection, or both, and at least a subset of the one or more other intersections are not along a route of the vehicle. Next, based at least in part on the estimated time of arrival and the traffic conditions associated with the one or more other intersections, the computer system may selectively modify traffic management in at least one of the one or more other intersections.