This application discloses an object control system (OCS) to control navigation of a moving vehicle when exiting from its own road or freeway to a new road or freeway. The new road or freeway is an underpass or overpass and have no physical junction with the moving vehicle's own road or freeway. The moving vehicles obtains its navigation information data from the IoT network it is registered with and a plurality of stationary objects near and in vicinity of an exit. The stationary objects during the time slots assigned to them by OCS transmit variety of information data that assist moving vehicle navigating to the right lane and exit. These stationary objects also provide an operation information data that is used in the new road or freeway in case the vehicle exits to a road or freeway that belongs to a new cell with different operation information data.

A method predicts a switch state and/or a switch time point of a signaling system. The method includes collecting first and second state data, the first and second state data influencing the switch state and/or switch time point. The collection of the first state data includes reading of state data from a signaling system control device of the signaling system by a signaling system interface. The collection of the second state data includes reading in of the state data. A prediction model is provided and configured to make a prediction of the switch time point and/or the switch state of the signaling system based on first and second state data. The switch state and/or the switch time point of the signaling system is predicted via the prediction model using the first and second state data. The predicted switch state and/or switch time point of the signaling system is outputted.

A device according to one aspect of the present disclosure is an on-vehicle control device configured to control a traveling speed of a vehicle including the on-vehicle control device. The on-vehicle control device includes: an acquisition unit configured to acquire a present light color of a traffic light unit installed at an intersection; a calculation unit configured to calculate an avoidance position and an avoidance speed with respect to a dilemma zone at a time when yellow light starts; and a control unit configured to execute a first deceleration process of reducing the traveling speed of the vehicle at the avoidance position to a speed equal to or lower than the avoidance speed, in a case where a present position of the vehicle is on an upstream side relative to the avoidance position and the present light color is green.

The present disclosure relates to a communication technique for fusing, with IoT technology, a 5G communication system for supporting a higher data transmission rate than a 4G system, and a system thereof. The present disclosure may be applied to an intelligent service such as a smart home, a smart building, a smart city, a smart car or a connected car, health care, digital education, retail, and security and safety related services on the basis of 5G communication technologies and IoT related technologies. A method for performing a vehicle communication service by a first terminal in a wireless communication system, according to the present disclosure, may comprise the steps of: receiving a first message related to the vehicle communication service from a network entity; determining a parameter of the vehicle communication service on the basis of the first message; receiving a second message related to the vehicle communication service from a second terminal; and determining whether to process the second message on the basis of the parameter of the vehicle communication service.

Techniques are discussed for controlling a vehicle, such as an autonomous vehicle, based on occluded areas in an environment. An occluded area can represent areas where sensors of the vehicle are unable to sense portions of the environment due to obstruction by another object or sensor limitation. An occluded region for an object is determined by the vehicle as part of an occlusion grid, from the perspective of the vehicle. The vehicle may receive another occlusion grid from another source, such as another vehicle or a remote computing device that stores and distributes occlusion grids. The other occlusion grid may be from a different perspective than the occlusion grid generated by the vehicle, and may include occupancy data for the region that is otherwise occluded from the perspective of the vehicle. The vehicle can be controlled to traverse the environment based on the occupancy data received from the other source.

A system for displaying contextually-sensitive braking information on a surface of a vehicle is presented. The system may include a transceiver, one or more memories, an electronic display disposed on the surface, and one or more processors. The one or more processors may be configured to detect a braking event of the vehicle, wherein the braking event has an associated braking force. The one or more processors may compare the braking force to a predetermined threshold braking force to determine whether the braking force exceeds the threshold braking force. The one or more processors may further cause the electronic display to display a braking indication having an intensity that is proportional to the braking force, wherein the braking indication may include a braking rationale corresponding to the braking event in response to determining that the braking force exceeds the threshold braking force.

A traffic signal recognition method and a traffic signal recognition device estimate whether or not a vehicle can be decelerated at a predetermined deceleration acceleration and can stop before a stop line based on a position of the stop line corresponding to a traffic signal located in a traveling direction of the vehicle, select the traffic signal corresponding to the stop line as a target traffic signal in a case where it is estimated that the vehicle cannot stop before the stop line, set detection area corresponding to the target traffic signal on an image obtained by capturing the traveling direction of the vehicle, and determine a display state of the target traffic signal by executing image processing on the detection area.

An automotive vehicle receives packets from at least one signaling device. The packets are formatted in accordance with a wireless personal area network and received exclusive of a connection being made in the wireless personal area network. Location and purpose data of the signaling device contained in the packets are analyzed and travel of the vehicle is controlled based on the location and purpose data of the signaling device.

Provided are an electronic control device and a vehicle control system capable of reducing a calculation amount and improving reliability of a travel route of a vehicle as compared with a conventional course setting device. An electronic control device 200 is mounted on a vehicle 100. The electronic control device 200 includes a map processing device 210 connected to an external sensor 110 that recognizes an obstacle around the vehicle 100 and a position sensor 120 that acquires position information of the vehicle 100 in a manner capable of information communication. The map processing device 210 includes a storage device 212 that stores map information including travel route information of the vehicle 100. The map processing device 210 records a travel route along which the vehicle 100 avoids an obstacle in the storage device 212, classifies the obstacle into a permanent obstacle and a transient obstacle, and updates the travel route information with an avoiding route based on the travel route along which the vehicle 100 has avoided the permanent obstacle.

An electric scooter with a lighting system that includes a rear mounted light that projects light upward and toward the front of the scooter to illuminate the back of a rider, and side lights that project light to illuminate the sides of a scooter. The lighting system employs a multi-faceted approach to vary intensity and effects for improved visibility in traffic. The light system can be configured to automatically illuminate or change effects in response to road or environmental conditions, or in response to existing or future roadway infrastructure such as autonomous traffic infrastructure or adaptive traffic control systems. The light system may also be integrated with the braking system for signaling a slow down or stop. The system may be controlled by communication between an onboard processor and a personal computing device such as a smart phone that can be docked on the scooter and provide display of information and a means of input.