A correction method for a gyro sensor which measures angular velocity of a vehicle about an axis in a vertical direction includes a generation process of performing a process on a difference between a measured azimuth obtained by performing a process on an sensor output, which is an output from the gyro sensor, and a vehicle azimuth estimated by using markers arranged along a traveling road of the vehicle to obtain correction information and a correction process of correcting the measured azimuth obtained by performing the process on the sensor output, which is the output from the gyro sensor, by using the correction information.

A vehicle traveling control method for causing a vehicle to travel along a traveling road where magnetic markers are arrayed is a control method including an azimuth measuring process of performing a process on angular velocity, which is an output of a gyro sensor, and measuring a measured azimuth indicating an orientation of the vehicle, a control process of controlling the vehicle so that the measured azimuth is matched with a target azimuth corresponding to a direction of the traveling road, and a correction process of correcting a degree of control by the control process, in order to bring a lateral shift amount of the vehicle with reference to each of the magnetic markers closer to zero, in accordance with the lateral shift amount.

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.

Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously provide traffic monitoring. and traffic management which improves the safety and efficiency of a roadway.

A traffic regulation system and method which combines energy harvesting from the movement of a plurality of vehicles on a roadway with wireless directional power beam transmission using the harvested energy to encourage compliance with traffic regulations. Electric power is generated from the movement of the moving vehicles by using a wind turbine to harvest wind energy from the movement of vehicles or by piezoelectric plates which harvest compression energy from the weight of the vehicle tires on the road surface. The electric power is transmitted to electric or hybrid vehicles which comply with the traffic regulations. The traffic regulations are one of driving at a posted speed and driving at a safe following distance. A control system adjusts the traffic regulation based on measurements received from a plurality of detectors.

A method includes positioning one or more roadway sensors and a plurality of a networked array of light emitting diode (LED) raised pavement markers on a road. Sensors proximate the road are associated with a network of road marking controllers that cooperate to control the LEDs as vehicles drive on the road. The LEDs operate as a networked array of roadway lane marking lights. The road marking controller(s) determine a distance between a vehicle on the road and the roadway sensor, determine a dynamic condition associated with the vehicle that changes with respect to time, and lights the plurality of LEDs based at least in part on the distance between the vehicle and the roadway sensor and the dynamic condition associated with the vehicle. Dynamic conditions for operating the LED lighting scheme can include vehicle velocity, a date, a time, a weather condition proximate the vehicle, and other factors.

A traffic regulation system and method which combines energy harvesting from the movement of a plurality of vehicles on a roadway with wireless directional power beam transmission using the harvested energy to encourage compliance with traffic regulations. Electric power is generated from the movement of the moving vehicles by using a wind turbine to harvest wind energy from the movement of vehicles or by piezoelectric plates which harvest compression energy from the weight of the vehicle tires on the road surface. The electric power is transmitted to electric or hybrid vehicles which comply with the traffic regulations. The traffic regulations are one of driving at a posted speed and driving at a safe following distance. A control system adjusts the traffic regulation based on measurements received from a plurality of detectors.

A system and a method of detecting and handling traffic congestion outliers by at least one processor. Embodiments of the present invention may include: receiving, from a plurality of information sources, data corresponding to at least one temporal, local traffic property; producing a local, time-based traffic profile based on the received data; receiving, from at least one information source, new data corresponding to at least one temporal, local traffic property; analyzing the new data in relation to at least one respective time-based traffic profile, to produce a score of the new data; and if the score surpasses a threshold, then identifying the data as originating from a local, temporal traffic congestion outlier and producing at least one recommendation for handling the traffic congestion outlier.

A traffic monitoring apparatus includes a distributed acoustic sensor (DAS) for acquiring waterfall data, wherein the waterfall data includes a generation position of a vibration on a roadway adjacent to the DAS, a generation time of the vibration and an amplitude of the vibration. The traffic monitoring apparatus further includes a processor connected to the DAS. The processor is configured to receive the waterfall data from the DAS. The processor is further configured to preprocess the waterfall data. The processor is further configured to separate the preprocessed waterfall data into a plurality of patches, wherein a size of each patch of the plurality of patches is determined based on a parameter of the roadway. The processor is further configured to process each of the plurality of patches to estimate at least one traffic flow property of the roadway.

A measurement method includes: a step of acquiring first observation point information; a step of acquiring second observation point information; a step of calculating a path deflection waveform at a third observation point; a step of calculating a path deflection waveform at a central position between the first observation point and the second observation point; a step of calculating a measurement waveform as a physical quantity at the third observation point; a step of calculating an amplitude coefficient at which a difference is minimized between the measurement waveform and a waveform obtained by multiplying the path deflection waveform at the third observation point by the amplitude coefficient; and a step of calculating, based on the path deflection waveform at the central position and the amplitude coefficient, an estimation waveform as a physical quantity at the central position.