In at least one embodiment, a road alert system is provided. The system includes a loudspeaker array and at least one controller. The loudspeaker array transmits an audio output signal to a vehicle traveling on a road. The at least one controller is programmed to receive a message indicative of a warning for the vehicle for transmission on the audio output signal and to apply equalization parameters to the message to increase in-vehicle speech intelligibility of the audio output signal within the vehicle. The at least one controller is further programmed to transmit the audio output signal via the loudspeaker array in a beamforming mode to minimize noise pollution for objects positioned along the road.

A road shape information generator is provided. The road shape information generator includes a sensor value obtainer that obtains a sensor value acting, when a vehicle travels, on the vehicle, a road shape information generator that generates information about a road shape as road shape information based on the sensor value obtained by the sensor value obtainer, and a storage controller that stores, in a road shape information storage, the road shape information generated by the road shape information generator.

An automated roadway marker system that illuminates and provides warning and lane demarcation under poor visibility conditions utilizing IR beam-break transceivers where no deployment considerations need to be made for the first in a sequence, because each marker operationally establishes its linkage condition in an intermittently activated asynchronous pseudo-network. The devices are designed for extremely low power consumption, so that solar energy can be utilized as a power source. The markers can additionally be linked through radio frequency signals, and to provide a warning to mobile and stationary radio frequency receivers. Additionally, the markers can be illuminated via transmissions from mobile and stationary transmitters.

Smart tolling for vehicles is provided. A toll advertisement message (TAM) is received by a vehicle, broadcast from a road-side unit (RSU) via V2X communication, the TAM defining a plurality of toll road tariff data elements, each of the toll road tariff data elements specifying a set of tolling factors indexed by a unique toll context identifier. Roadway usage of the vehicle is determined. A charge for the roadway usage is determined according to the set of tolling factors of the TAM. A toll usage message (TUM) is sent via the V2X communication, the TUM indicating, to the RSU, the tariff for the roadway usage of the vehicle.

An intelligent transport system includes an access point which puts a plurality of channels under control and casts various information and a vehicle-mounted device which directly communicates with the access point or is mounted on a vehicle which performs multi-hop communication, the access point includes broadcast means which broadcast a content of the information to be casted to a plurality of channels as service information, and the vehicle-mounted device includes channel switching means which perform a channel switching so that a desired service can be received on the basis of the service information.

Data is received from each of a plurality of vehicles proximate to an intersection indicating a kinetic energy and a time to the intersection. An optimized timing of a traffic light is determined based on an aggregation of the kinetic energies and times to intersection. A timing of the traffic is modified according to the optimized timing.

An autonomous vehicle is equipped with a beacon, preferably including a transmitter and receiver, or a transceiver, for bi-directional communication, which is programmed to interact with other beacons for the exchange of contextual travel information to assist in autonomous operation of the vehicle. Beacons may be stationary and positioned along a roadway such that a signal transmitted by such a stationary beacon can be received by a passing beacon-equipped vehicle, the operation of which can be adjusted depending on instructions received from the stationary beacon. The vehicle can also transmit information to the stationary beacon, which information can be used to assess traffic conditions to thereafter adjust information and alerts sent to other beacon-equipped vehicles. Beacons located within multiple vehicles may also interact to share information that may be used by individual vehicles to adjust or maintain the autonomous operation of the vehicle.

There is a system and a process for tracking vehicles and individuals in a region during an emergency situation comprising at least one server having at least one microprocessor. There is at least one remote electronic device having at least one processor at least one transceiver and at least one GPS transceiver, there is at least two pressure sensitive sensors to determine a rate of movement of vehicles through an intersection. When the system determines an emergency situation via at least one of the pressure sensitive sensors, the system is configured to notify at least one individual adjacent to the two pressure sensitive sensors. Alternatively, the system could be notified by an emergency responder of an emergency situation.

A vehicle control system includes a virtual line setter configured to set virtual lines in front of a gate on the basis of the position of the gate, and a gate passing controller configured to perform vehicle control when a vehicle passes through the gate on the basis of the virtual lines set by the virtual line setter.

A computing device including processor circuitry. The processor circuitry may perform operations comprising obtaining images representative of features within an environment of a host vehicle; identifying, from the images, a target object partially obscured in the environment; obtaining map data corresponding to the environment of the host vehicle, the map data comprising information of the features within the environment; localizing a position of the partially obscured target object within the environment based on comparing the features in the images to the information of the features obtained from the map data; and identifying a predicted trajectory of the partially obscured target object based on the localized position of the partially obscured target object within the environment.