A method is disclosed for vehicular operation on a road comprising a road network configured to communicate with one or more vehicles on the road, the method comprising sending a signal from a first vehicle to the road network, the signal comprising an intended path of the first vehicle on the road; receiving the signal at the road network; and adjusting at least one of a speed and a path of a second vehicle with respect to the road in response to the signal.

A controller in a vehicle includes an obtaining unit that obtains facility information on a charging facility that can charge a power storage mounted on the vehicle, the facility information including position information and utility information in association with each other, the position information indicating a position of the charging facility, the utility information indicating an electric utility that manages the charging facility. The controller further includes at least one of a first notification unit and a second notification unit. The first notification unit causes a notification apparatus to give first information that indicates an electric utility, by using the facility information obtained by the obtaining unit. The second notification unit causes the notification apparatus to give second information that indicates a position of a charging facility, by using the facility information obtained by the obtaining unit.

A controller in a vehicle includes an obtaining unit that obtains facility information on a charging facility that can charge a power storage mounted on the vehicle, the facility information including position information and utility information in association with each other, the position information indicating a position of the charging facility, the utility information indicating an electric utility that manages the charging facility. The controller further includes at least one of a first notification unit and a second notification unit. The first notification unit causes a notification apparatus to give first information that indicates an electric utility, by using the facility information obtained by the obtaining unit. The second notification unit causes the notification apparatus to give second information that indicates a position of a charging facility, by using the facility information obtained by the obtaining unit.

Systems, methods, and computer-readable media are described for performing real-time vehicular incident risk prediction using real-time vehicle-to-everything (V2X) data. A vehicular incident risk prediction machine learning model is trained using historical V2X data such as historical incident data and historical vehicle operator driving pattern behavior data as well as third-party data such as environmental condition data and infrastructure condition data. The trained machine learning model is then used to predict the risk of an incident for a vehicle on a roadway segment based on real-time V2X data relating to the roadway segment and/or vehicle operators on the roadway segment. A notification of a high risk of incident can then be sent to a V2X communication device of the vehicle to inform an operator of the vehicle.

A system for preventing sleep in vehicle operators can include a user device and a mat operatively connected to the user device and positioned on a driver-side floor of a vehicle. The mat can be configured to, via one or more processors, receive an enablement signal from the user device; and in response to receiving the enablement signal, cause a haptic effects generator to generate vibrations within the mat.

A system for preventing sleep in vehicle operators can include a user device and a mat operatively connected to the user device and positioned on a driver-side floor of a vehicle. The mat can be configured to, via one or more processors, receive an enablement signal from the user device; and in response to receiving the enablement signal, cause a haptic effects generator to generate vibrations within the mat.

A controlled intersection employs video analytics to identify incoming vehicles coupled with autonomous driving capabilities in the vehicle to selectively provide intervention for collision avoidance. A camera image of an approaching vehicle is used to identify a range and speed, and to compute whether intervention is appropriate based on a detected distance and speed from the intersection. A vehicle approaching a stop signal (e.g. “red light”) at an unsafe rate of speed triggers an invocation of on-board autonomous systems in the vehicle that provide appropriate warnings and ultimately, forced braking if warnings go unheeded. A registration system maintains a local grouping of vehicles in proximity to an intersection for minimizing latency in vehicle identification for commencing intervention. In this manner, on-board vehicle collision avoidance systems collaborate with complementary traffic control logic at a controlled intersection for preventing inadvertent or intentional disregard of a red signal.

A controlled intersection employs video analytics to identify incoming vehicles coupled with autonomous driving capabilities in the vehicle to selectively provide intervention for collision avoidance. A camera image of an approaching vehicle is used to identify a range and speed, and to compute whether intervention is appropriate based on a detected distance and speed from the intersection. A vehicle approaching a stop signal (e.g. “red light”) at an unsafe rate of speed triggers an invocation of on-board autonomous systems in the vehicle that provide appropriate warnings and ultimately, forced braking if warnings go unheeded. A registration system maintains a local grouping of vehicles in proximity to an intersection for minimizing latency in vehicle identification for commencing intervention. In this manner, on-board vehicle collision avoidance systems collaborate with complementary traffic control logic at a controlled intersection for preventing inadvertent or intentional disregard of a red signal.

The driving support system includes an imaging section installed to a vehicle capable of executing a driving support state, and the imaging section being capable of imaging a imaging subject positioned in surroundings of the vehicle, and a processor connected to the imaging section. The processor is configured to generate image data, determine whether or not a predetermined recording condition has been satisfied, cause the image data to be recorded in the memory in cases in which the recording condition has been determined to have been satisfied, determine whether or not the vehicle is in any of the driving support states, and change the recording condition to a specific recording condition that is the recording condition corresponding to the driving support state of the vehicle in cases in which the vehicle has been determined to be in any of the driving support states.

A transmission for a vehicle includes a transmission shift unit that receives a shift command of the vehicle, a driving unit that generates a driving force for causing the transmission shift unit to be switched between positions, and a controller configured to control the driving unit for causing the transmission shift unit to be switched between the positions depending on whether a preset condition is satisfied. In particular, the driving unit includes a first stator to generate magnetic flux, a first rotor including first inner permanent magnets and second inner permanent magnets and configured to be rotated by the magnetic flux transmitted to the first inner permanent magnets, outer permanent magnets, a second rotor disposed between the second inner permanent magnets and the outer permanent magnets, and a clutch unit disposed between the first rotor and the second rotor.