A station for the integrated monitoring of environment and traffic comprises a local unit (2) adapted to be positioned at an area to be monitored and comprising first means (10) for collecting first data (D1) relative to the concentration of pollutants in the air, second means (11) for monitoring the traffic flow in the monitored area and for collecting corresponding second data (D2), a data processing unit (13) adapted to receive the first data (D1) and the second data (D2) for the correlation thereof and for generating information relative to the traffic and to the air quality in the monitored area in a predetermined time period, third means (12) for collecting third data (D3) relative to the weather condition in the monitored area adapted to be transmitted to the data processing unit (13).

Transportation infrastructure provides for vehicle-to-infrastructure (V2I) communication over a vehicle-to-everything (V2X) communication network with a V2X transceiver of a vehicle in accordance with a subscription level defining a level of access of the vehicle to data services of a cellular network. An interface controller operates as a gateway between the cellular network and the V2X communication network. A vehicle includes a transceiver for V2X communication. The transceiver provides for V2I communication over a V2X communication network with transportation infrastructure in accordance with a subscription level defining a level of access of the vehicle to a cellular network, and also provides for vehicle-to-vehicle (V2V) communication over the V2X communication network with other vehicles in accordance with the subscription level.

Transportation infrastructure provides for vehicle-to-infrastructure (V2I) communication over a vehicle-to-everything (V2X) communication network with a V2X transceiver of a vehicle in accordance with a subscription level defining a level of access of the vehicle to data services of a cellular network. An interface controller operates as a gateway between the cellular network and the V2X communication network. A vehicle includes a transceiver for V2X communication. The transceiver provides for V2I communication over a V2X communication network with transportation infrastructure in accordance with a subscription level defining a level of access of the vehicle to a cellular network, and also provides for vehicle-to-vehicle (V2V) communication over the V2X communication network with other vehicles in accordance with the subscription level.

Specifically programmed, integrated motor vehicle dangerous driving warning and control system and methods comprising at least one specialized communication computer machine including electronic artificial intelligence expert system decision making capability further comprising one or more motor vehicle electronic sensors for monitoring the motor vehicle and for monitoring activities of the driver and/or passengers including activities related to the use of cellular telephones and/or other wireless communication devices and further comprising electronic communications transceiver assemblies for communications with external sensor networks for monitoring dangerous driving situations, weather conditions, roadway conditions, pedestrian congestion and motor vehicle traffic congestion conditions to derive warning and/or control signals for warning the driver of dangerous driving situations and/or for controlling the motor vehicle driver use of a cellular telephone and/or other wireless communication devices.

Specifically programmed, integrated motor vehicle dangerous driving warning and control system and methods comprising at least one specialized communication computer machine including electronic artificial intelligence expert system decision making capability further comprising one or more motor vehicle electronic sensors for monitoring the motor vehicle and for monitoring activities of the driver and/or passengers including activities related to the use of cellular telephones and/or other wireless communication devices and further comprising electronic communications transceiver assemblies for communications with external sensor networks for monitoring dangerous driving situations, weather conditions, roadway conditions, pedestrian congestion and motor vehicle traffic congestion conditions to derive warning and/or control signals for warning the driver of dangerous driving situations and/or for controlling the motor vehicle driver use of a cellular telephone and/or other wireless communication devices.

The invention relates to a process for monitoring vehicles on a road by a system comprising at least one radar sensor and a second sensor different from the radar sensor, wherein the second remote sensor is a time-of-flight optical sensor or optical image sensor, the process comprising a temporal readjustment and a spatial matching in order to obtain a set of measurement points each assigned to first characteristics derived from the radar data and second characteristics derived from the optical data, the determination of the radar vehicle trackings and of the optical vehicle trackings, a comparison of similarity between the radar vehicle trackings and the optical vehicle trackings, the elimination of the radar vehicle trackings for which no optical vehicle tracking is similar, the process comprising monitoring a parameter derived from first characteristics of a retained radar vehicle tracking.

There is provided a signaling apparatus including a plurality of LED elements provided in a signal lamp body; a transparent panel provided in the LED elements and configured to transmit outgoing light from the LED elements on a rear side to a front surface to which snow adheres; a frame unit provided on an outer periphery of the panel; and vibration generators provided in the frame unit and configured to vibrate the panel.

A detection system includes: a detection portion that has an output function outputting a detection wave toward surroundings of a vehicle, and a detection function detecting an object around the vehicle based on a reflected wave; a determination section that determines that the object is definitely present around the vehicle when a number of times of detection of the object by the detection function exceeds a predetermined number of times; a control section that causes operation of the detection function without operation of the output function when the vehicle travels at a predetermined speed or higher; and an adjustment section that adjusts and increases the predetermined number of times designated for the determination section when the object is detected by the detection function operated by the control section during traveling of the vehicle at the predetermined speed or higher.

The disclosure generally pertains to systems and methods for using vehicles to detect and remediate air pollution. In an example implementation, a server computer transmits a directive to a vehicle controller of a vehicle, to measure an air pollution level around the vehicle at a first location. The vehicle controller executes an air pollution measurement and transmits measurement data to the server computer. The server computer evaluates the measurement data and directs the vehicle controller to perform a remedial action for reducing the air pollution level at the first location. The remedial action can involve, for example, the vehicle controller moving the vehicle from the first location to a second location. The server computer may also determine whether the first location is a transient pollution location or a persistent pollution by directing the vehicle controller to carry out measurements at two different times and/or by employing two different sampling rates.

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.