An information processing apparatus includes an image obtaining unit which obtains an image around a moving object. The information processing apparatus includes a determining unit which determines a risk area based on an image obtained by the image obtaining unit. The information processing apparatus includes a communication unit which transmits risk area information related to a risk area determined by the determining unit to an information collecting apparatus which collects information from a plurality of moving objects. The communication unit transmits risk area information to the information collecting apparatus when the moving object is within a region where information is provided by the information collecting apparatus.

An intelligent infrastructure system includes traffic safety control circuitry coupled to a traffic control device. The traffic control device transitions from a current operating mode to a next operating mode on a defined schedule. The traffic safety control circuitry can receive information representative of the time remaining until the traffic control device transitions from the current operating mode to the next operating mode from the traffic control device. The traffic safety control circuitry broadcasts a message containing information representative of the time remaining to vehicular safety control circuitry in vehicles approaching the traffic control device. The vehicular safety control circuitry can provide the vehicle operator at least with information indicative of the time remaining in which the traffic control device will remain in the current operating mode. The vehicular safety control circuitry may provide the vehicle operator with additional recommendations such as accelerate, maintain speed, and decelerate/brake.

Provided are a vehicle scheduling method, an electronic equipment and a storage medium, relating to the technical field of artificial intelligence, in particular to, the fields of Internet of Things, autonomous parking, automatic driving and the like. The vehicle scheduling method includes: reporting, by a first vehicle, based on a first broadcast channel, a first vehicle state; receiving, by the first vehicle, a second vehicle state reported by a second vehicle based on the first broadcast channel, the second vehicle being a vehicle other than the first vehicle in the same parking lot; and obtaining, by the first vehicle, a scheduling decision result for avoidance between the first vehicle and the second vehicle, according to the first vehicle state and the second vehicle state.

A system and method receive an event signal indicative of an adverse event on a vehicular pathway from one or more of a user interface device or one or more sensors disposed onboard the first vehicle. Event information is determined that is associated with the adverse event on the vehicular pathway and the first vehicle. An event alert is generated that contains the event information, and a communication device onboard the first vehicle is controller to communicate the event alert to an offboard control system configured to control movement of one or more second vehicles based on the event alert by modifying a respective planned route of each of the one or more second vehicles to bypass a location of the adverse event. The one or more second vehicles are not mechanically connected to the first vehicle and do not operate under control of the first vehicle.

A computer-implemented method of updating an auto insurance policy is provided. The method may include (1) determining that a customer's mobile device has a Telematics Application (“App”) installed on it, the Telematics App configured to (i) receive telematics data associated with another vehicle via a wireless communication broadcast; (ii) determine a travel event from analysis of the telematics data received, and (iii) generate a corrective action based upon the telematics data received or travel event determined that alleviates the risk of vehicle collision. The method may also include (2) monitoring, with the customer's permission, an amount or percentage of usage of the Telematics App on the customer's mobile device while the customer is driving in an insured vehicle; and (3) adjusting an insurance policy premium or discount based upon usage of the Telematics App to facilitate rewarding risk-averse drivers and encourage usage of risk mitigation or prevention technology.

Among other things, an equipment for use on board a first ground transportation entity has (a) a receiver for information generated by a sensor of the environment of the first ground transportation entity, (b) a processor, and (c) a memory storing instructions executable by the processor to generate and send safety message information to a second ground transportation entity based on the information generated by the sensor.

Systems and methods for performing operations based on LIDAR communications are described. An example device may include one or more processors and a memory coupled to the one or more processors. The memory includes instructions that, when executed by the one or more processors, cause the device to receive data associated with a modulated optical signal emitted by a transmitter of a first LIDAR device and received by a receiver of a second LIDAR device coupled to a vehicle and the device, generate a rendering of an environment of the vehicle based on information from one or more LIDAR devices coupled to the vehicle, and update the rendering based on the received data. Updating the rendering includes updating an object rendering of an object in the environment of the vehicle. The instructions further cause the device to provide the updated rendering for display on a display coupled to the vehicle.

Provided are a method and device for information notification. The method includes that: a base station acquires a Temporary Mobile Group Identity (TMGI), wherein the TMGI indicates a traffic information service, and is allocated by a Broadcast Multicast Service Center (BM-SC) (S202); and the base station sends expanded Multimedia Broadcast Multicast Service (MBMS) Control Channel (MCCH) notification information according to the TMGI, wherein the expanded MCCH notification information indicate that an MCCH message corresponding to traffic information has been updated (S204).

Systems and methods are disclosed for an emergency corridor utilizing vehicle-to-vehicle communication. An example disclosed system includes an emergency vehicle, infrastructure nodes distributed across a municipal area, and an emergency router. The example emergency router selects a route from a first location of the emergency vehicle to a second location specified by an emergency request. The example emergency router also determines ones of the infrastructure nodes that are along the route. Additionally, the example emergency router instructs the ones of the infrastructure nodes to broadcast emergency messages. The emergency messages include information regarding the route and the emergency vehicle.

Vehicles in traffic cannot coordinate their actions properly in 5G and 6G without knowing the location and the wireless address of the other vehicle. GNSS signals are generally too slow and too imprecise to discern vehicles in, for example, adjacent lanes. Directional wireless beams are subject to reflections from conducting surfaces, producing chaotic signals and false locations if more than one vehicle is within the transmission beam. To provide precise localization in traffic, methods are disclosed for multiple vehicles (or other mobile devices) to acquire satellite signals simultaneously, and then analyze the data differentially, thereby canceling major uncertainties (such as propagation variations, ephemeris motion, and clock jitter), and thereby determining the relative positions precisely. Unlike prior-art “precision” positioning methods, the disclosed methods do not require averaging multiple acquisitions. On the contrary, examples show how high differential precision can be obtained without averaging, using measurements acquired at the predetermined time.