It is an object of the present invention to provide a predictive traffic law enforcement profiler apparatus and method which incorporates a means to determine current location, time, velocity and also incorporates a means to utilize a database derived from historic traffic law enforcement records, crowd sourced records and historical traffic data and also incorporates a predictive processing means to provide historic traffic law enforcement records and estimates of enforced speed limits and enforcement profiles, patrol locations and schedules of traffic law enforcement to a driver.

A conflict-resolution system for operating an automated vehicle includes an intersection detector, a vehicle-detection device, and a controller. The intersection detector is suitable to mount on a host-vehicle. The detector used to determine when the host-vehicle is stopped at or approaches an intersection. The vehicle-detection device is suitable to mount on the host-vehicle. The device is used to detect when an other-vehicle has stopped at or approaches the intersection at the same instant as the host-vehicle. The controller is in communication with the detector and the device. The controller is configured to determine a wait-time for the host-vehicle to wait before attempting to proceed into the intersection when right-of-way rules are unable to determine when the host-vehicle should proceed into the intersection.

An information management device includes a difference extractor and a determination unit. The difference extractor extracts, as difference information, vehicle peripheral three-dimensional information detected by a vehicle and three-dimensional map information. The determination unit determines whether the extracted difference information is a difference inherent to the vehicle.

A method for anticipating the tipping point of traffic resilience based on percolation analysis, includes steps of: step (I) based on the topology structure of the urban road network and daily traffic operation data, constructing the urban traffic dynamical network; step (II): based on the urban traffic dynamical network constructed, analyzing the relationship between the system performance of urban traffic functional network and the congestion rate by percolation analysis; and step (III): based on the relationship between the system performance and the congestion rate, exploring the resilience function of the urban traffic functional network, and analyzing its resilience pattern and its resilience tipping point.

The present technology relates to a signal processing device, a signal processing method, a program, and an imaging device capable of promptly making notification of abnormality such as an accident. A signal processing device includes a recognition unit that recognizes content of a captured image imaged by an imaging unit, a text information generation unit that generates text information including data representing the recognized content of the captured image in characters, and a transmission control unit that controls transmission of the text information. The present technology may be applied to, for example, a system that makes notification of abnormality of a vehicle.

Various embodiments for logging traffic collision data at a traffic signal, by a processor device, are provided. In one embodiment, a method comprises recording a media loop of a predetermined time and an associated traffic light sequence by a recording device placed in substantially close proximity to a traffic signal; and upon registering a media event above a predetermined threshold level, saving instant media loop information and the associated traffic light sequence to a storage device for aiding in determining fault in a traffic accident.

Provided are a safety performance evaluation apparatus, a safety performance evaluation method, an information processing apparatus, and an information processing method, which enable evaluation of safety performance of a driving assistance processing unit. The safety performance evaluation apparatus includes: an acquisition unit that acquires information regarding a driving assistance function of a mobile object; and an evaluation unit that evaluates safety performance of the driving assistance function of the mobile object on the basis of the acquired information.

Disclosed are various techniques to optimize load delivery management of multiple vehicles along route. The optimization can involve evaluating vehicle-in-front information along with look ahead data to determine a recommended speed target and/or idle stop times and durations. The optimization can also involve determining bottleneck conditions from one or more vehicles and/or one or more infrastructure conditions and providing one or more recommended actions in response thereto.

A method and apparatus for identifying a traffic accident, a device and a computer storage medium are disclosed, which relates to the technical fields of intelligent traffic and big data. An implementation includes: acquiring road features, environmental features and road traffic stream features; inputting the road features, the environmental features and the road traffic stream features into a pre-trained traffic-accident identifying model to obtain an accident-information identifying result of a road which at least includes an accident identifying result. In the present application, the accident road may be automatically identified according to the road features, the environmental features and the road traffic stream features. Compared with a traditional manual reporting way, timeliness is stronger, and a coverage rate is higher.

A traffic information processing device includes a communication unit configured to communicate through a communication network with a plurality of communication vehicles configured to detect relative positions and relative speeds of vehicles around a host vehicle with respect to the host vehicle, an information acquisition unit configured to acquire position and speed information of the communication vehicle and position and speed information of vehicles around the communication vehicle from each of the communication vehicles traveling in a specific area through the communication unit, and a traffic state prediction unit configured to predict a future change in a traffic state of a road in the specific area based on the position and speed information from the communication vehicles acquired by the information acquisition unit.