A control apparatus is a control apparatus for causing light emitting devices to display a crosswalk when the control apparatus detects a pedestrian who is about to cross a road. The control apparatus includes a controlling portion configured to perform: detect, as a first vehicle, a vehicle traveling in a crosswalk display region where a crosswalk is to be displayed; determine whether or not the speed of the first vehicle is less than a reference speed; and in a case where the speed is less than the reference speed and a predetermined safety standard is satisfied, determine to cause the light emitting devices to display the crosswalk.

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.

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.

A vehicle monitoring system according to the present disclosure includes: an optical fiber for sensing (10) laid on a road (40); a vehicle passage detection unit (30) configured to detect that a vehicle (50) has passed a predetermined location on the road (40); an identification unit (202) configured to identify the vehicle (50) that has passed the predetermined location as a vehicle-to-be-monitored; and a reception unit (201) configured to receive sound information unique to the vehicle-to-be-monitored detected by the optical fiber for sensing (10), in which the identification unit (202) identifies the vehicle-to-be-monitored based on the sound information unique to the vehicle-to-be-monitored.

An optical fiber sensing system according to the present disclosure includes: an optical fiber (10) provided along a road R to detect vibrations; a detection unit (21) configured to detect a vibration pattern of a vibration caused by a traffic accident that has occurred on the road R from optical signals received from the optical fiber (10); and an estimation unit (22) configured to estimate a situation of the traffic accident based on the vibration pattern.

A driving support system including an information acquiring part which acquires, from a vehicle side detecting a magnetic marker laid in a road and capable of acquiring marker identification information for identifying the magnetic marker detected, upload information including the marker identification information, an information providing part which provides the vehicle side as a transmission source of the upload information with support information, a configuration which provides information acquisition right which is a right to receive the support information to the vehicle, and a transmission source management area for registering the identification information of the vehicle as a provision destination of the support information by recording the identification information of the vehicle. The identification information of the vehicle is recorded in the transmission source management area and the information acquisition right is granted to the vehicle when the information acquiring part acquire the upload information.

The present invention is a method for determining the amount of pollutant emissions (Q) from at least one vehicle over a road network section, wherein a pollutant emission model (MFE) is constructed by machine learning (APP) using macroscopic data (MAC) of a learning road network and traffic data (TRA). This model (MFE) is then applied to a road network section.

An apparatus includes a signal acquisition part acquires oscillation signals from sensors provided under lanes of a bridge and close to an expansion joint, a signal separation part applies BSS to the oscillation signals to estimate source oscillation signals respectively separated in the plurality of lanes, and adjusts amplitude of the source oscillation signals to output amplitude adjusted oscillation signals, and a vehicle estimation part estimates, from the amplitude adjusted oscillation signal, a response oscillation due to a vehicle passing on the lane of interest to detect and count vehicles passing on the lane.

A monitoring system and method may receive detection times at which passage of one or more vehicle systems by a detection device disposed along a route is detected. Locations of the one or more vehicle systems at different times may be received from one or more location sensors disposed onboard the one or more vehicle systems. The locations of the one or more vehicle systems when the one or more vehicle systems were detected by the detection device may be determined by comparing the detection times with the different times associated with the locations. A condition or state of the detection device can be determined by comparing the locations that are determined by the controller with a device location of the detection device.

Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously enable and/or facilitate the continuous, real-time monitoring and identification vehicle speed, vehicle direction, vehicle axle width, vehicle type, total number of vehicle axles, and vehicle count. The DFOS sensing fiber is advantageously positioned underneath a roadway/highway in a novel arrangement/layout and temporal measurements are made to provide vehicle identification.