Provided are a method and a system for integratedly managing a vehicle operation state. A vehicle integration management method performed by a server implemented by using a computer may include: receiving vehicle operation data related to an operation state of the vehicle from a vehicle terminal mounted or embedded in the vehicle; and providing a service related to the vehicle operation data through a dedicated application on a user terminal used by a user of the vehicle, wherein the providing may provide at least one of an operation report, a parking impact notification, and an accident situation notification based on the vehicle operation data in association with the application.

A vehicle detection system 200 comprises: a receiver 202 arranged to receive data transmissions from a vehicle 210; a camera 204 arranged to capture an image of the vehicle 210; and a processing subsystem 206 arranged to implement a trained model for detecting and/or classifying vehicles in an image. The system 200 is arranged to operate in a first mode wherein: the camera 204 captures an image of a vehicle 210 and the receiver 202 receives a data transmission from the vehicle 210; and the processing subsystem 206 is arranged to use information resulting from the data transmission received and the image to train the model further. The system 200 is also arranged to operate in a second mode wherein: the camera 204 captures an image of a vehicle 210 and the receiver 202 does not receive a data transmission; and the processing subsystem 206 is arranged to use the image and the trained model to detect and/or classify the vehicle 210 in the image.

A mobile real-time 360-degree traffic data and video recording and tracking system and method based on Artificial Intelligence (AI) is disclosed. More particularly, a system of video cameras and other data sensors are mounted on a vehicle that capture information on all sides (360-degrees) from the vehicle. The captured information is input to a computer programmed using Artificial Intelligence to analyze the information for possible traffic infractions and report that information to authorities.

A mobile real-time 360-degree traffic data and video recording and tracking system and method based on Artificial Intelligence (AI) is disclosed. More particularly, a system of video cameras and other data sensors are mounted on a vehicle that capture information on all sides (360-degrees) from the vehicle. The captured information is input to a computer programmed using Artificial Intelligence to analyze the information for possible traffic infractions and report that information to authorities.

Methods and systems are provided for integratedly managing a vehicle operation state. A vehicle integration management method performed by a server implemented by using a computer may include receiving vehicle operation data related to an operation state of the vehicle from a vehicle terminal mounted or embedded in the vehicle; and providing a service related to the vehicle operation data through a dedicated application on a user terminal used by a user of the vehicle. The providing may provide at least one of an operation report, a parking impact notification, and an accident situation notification based on the vehicle operation data in association with the application.

A data extraction method and apparatus including: obtaining a data extraction instruction sent by a client, wherein the data extraction instruction is an instruction issued by a target checker logging in to the client, and the data extraction instruction carries a target user identifier of the target checker; obtaining extraction authority information for the target user identifier according to a preset correspondence and the target user identifier as target extraction authority information, wherein the preset correspondence comprises: a plurality of correspondences between user identifiers and extraction authority information, and the extraction authority information is information for representing an authority of a corresponding checker to extract vehicle passing data; extracting, from to-be-checked vehicle passing data, first to-be-checked vehicle passing data that matches the target extraction authority information; and sending the first to-be-checked data to the client. With the embodiments of the present application, the number of manual operations of the checker is reduced in extracting vehicle passing data, thereby further reducing the number of manual operations in data checking, and improving data checking efficiency.

A method and apparatus for monitoring a vehicle, a cloud control platform, and a system for vehicle-road collaboration are provided. The method includes: acquiring real-time driving data of each vehicle in a preset vehicle set; matching, in response to receiving event information of an event occurring on a driving road of a vehicle in the preset vehicle set, the event information with the real-time driving data of each vehicle in the preset vehicle set to determine a target vehicle involved in the event; and acquiring video information of the target vehicle during occurrence of the event based on the event information.

A system for detecting aggressive driving on a roadway in real time includes spaced apart cameras and spaced apart presence sensors which generate timestamps when detecting passing vehicles. A GPS module and a communication module are operatively connected to a computer monitoring unit which determines the aggressive driving. A photographic image is taken of each vehicle which is driving aggressively and the image and a violation report is transmitted to a transit authority. The system may be a static system mounted in the median of a roadway or may be a dynamic system mounted in a monitoring vehicle. The aggressive driving violations may be one of speeding, tailgating, street racing, improper passing, and lane blocking.

A system for detecting aggressive driving on a roadway in real time includes spaced apart cameras and spaced apart presence sensors which generate timestamps when detecting passing vehicles. A GPS module and a communication module are operatively connected to a computer monitoring unit which determines the aggressive driving. A photographic image is taken of each vehicle which is driving aggressively and the image and a violation report is transmitted to a transit authority. The system may be a static system mounted in the median of a roadway or may be a dynamic system mounted in a monitoring vehicle. The aggressive driving violations may be one of speeding, tailgating, street racing, improper passing, and lane blocking.

A traffic recording assembly includes a plurality of recording units that is each positionable on an emergency vehicle. Each of the recording units can be directed toward oncoming traffic when the emergency vehicle is positioned on the side of a roadway to respond to an emergency. Each of the recording units has video recording capabilities to identify vehicles that are not following traffic laws as they pass the emergency vehicle. Additionally, each of the recording units emits electromagnetic energy to detect the speed of the oncoming traffic. A base unit is positioned within the emergency vehicle to store the video and to store the speed of the oncoming traffic for subsequent prosecution.