Systems, apparatus, and methods for human-to-machine negotiation. Self-driving vehicles are expected to greatly improve the quality and efficiency of human life. Unfortunately, self-driving vehicles have struggled to effectively communicate with other human drivers. Various aspects of the present disclosure are directed to fleets that can bargain as a collective group. While the present disclosure describes a fleet of self-driving vehicles, the concepts are broadly applicable to any fleet of participants (machine, human, and/or hybrids). A transaction ledger in combination with a fleet of informed observers allows for systemic efficiencies that would not otherwise be possible, even among human drivers. Specifically, once enough informed observers are present (e.g., a fleet) cooperative bargaining becomes much more desirable than adverse bargaining.

Systems and methods are described for enhancing road safety via on-demand virtualized road traffic sign generation. A method for generating information for display in a target object (TO) includes: receiving at least one notification message from one or more TOs; generating a situation map for a relevance zone (RZ) based on information in the at least one notification message; encoding an action matrix in a notification message, wherein the action matrix is derived based on the situation map; and transmitting the notification message to the TOs in the RZ. A system includes one or more road side units (RSUs) configured to establish a wireless communication channel with one or more TOs; and a mobile edge computing (MEC) system that includes one or more processors and is configured to implement a virtualized road traffic sign generation service.

A collision avoidance system includes: an onboard acquisition unit provided in a vehicle traveling on a road that acquires state quantity data indicating a state quantity of a pneumatic tire of the vehicle; an onboard transmission unit provided in the vehicle that transmits the state quantity data acquired by the onboard acquisition unit to a data acquisition roadside device installed on the road; an abnormality determination unit that determines whether or not the state quantity data is abnormal; and a management device including a data acquisition unit that acquires the state quantity data from the data acquisition roadside device, a data storage unit that stores the state quantity data acquired by the data acquisition unit, and a data distribution unit that distributes the state quantity data determined as abnormal by the abnormality determination unit.

Embodiments of this application disclose a dynamic information obtaining method and a related device thereof, and may be applied to the field of artificial intelligence. The method includes: A first enabler server obtains information about an enabler client in a target area of a target client; and the first enabler server sends a first message to the enabler client, where the first message is used for the enabler client reporting first information. The first information includes local dynamic information of the enabler client, and the first information is used for obtaining dynamic information associated with the target client.

Examples are provided for traffic sign detection systems. In one example, a traffic detection system in a vehicle includes an image sensor, a communication system, a processor, and a storage device storing instructions executable by the processor to capture an image of an environment of the vehicle via the image sensor, process the image to detect visual information regarding a traffic sign in the image, the visual information indicating a recognized sign, receive cryptographic data via the communication system from a transmitter associated with the traffic sign, the cryptographic data including a cryptographic representation of a traffic sign signal for controlling the traffic sign, and selectively control one or more vehicle systems of the vehicle based on a cryptographic verification of the recognized sign using the cryptographic data.

An information management apparatus, comprising an acquisition unit configured to acquire vehicle location information indicating a location of a certain vehicle and vehicle state information indicating a state of the vehicle, a selection unit configured to select another vehicle corresponding to the vehicle state information from among other vehicles in surroundings of the vehicle that are identified based on the vehicle location information, and a notification unit configured to notify the another vehicle that has been selected in accordance with the vehicle state information.

Technologies and techniques for merging/resolving MAP data and signal phase and timing (SPaT) messages for traffic light data prediction a vehicle in an intelligent transportation system. SPaT data and/or MAP data may be received in a vehicle from a direct source and a network source, and processed to merge data from the two different platforms. The merging of the data allows a vehicle to generate inferences relating to traffic light data received on direct, low-latency, connections, while taking advantage of the more comprehensive data provided from the network source.

A traveling vehicle system, in a merging area including a merging point, until a traveling vehicle traveling on one travel route passes through the merging area, stops a traveling vehicle traveling on another travel route at a stop point before the merging point. The traveling vehicle system calculates a required time for a first traveling vehicle passing through the merging point to pass through the merging area and, when a second traveling vehicle following the first traveling vehicle and traveling on the same travel route as the first traveling vehicle outside the merging area is capable of entering the merging area within the required time, causes the second traveling vehicle to enter the merging area without decelerating the second traveling vehicle to a speed limit or less enabling stopping at the stop point.

According to one embodiment, an information transmission device includes processing circuitry, transmitting circuitry and receiving circuitry. The processing circuitry acquires surrounding information of a mobile entity including the information transmission device. The transmitting circuitry transmits first data including state information of the mobile entity, the first data not including the surrounding information, a data size of the state information is smaller than a data size of the surrounding information. The receiving circuitry receives a transmission control request of the surrounding information after the first data is transmitted, the transmission control request being generated based on the first data. The transmitting circuitry controls transmission of the surrounding information based on the transmission control request.

Technologies and techniques for merging/resolving MAP data and signal phase and timing (SPaT) messages for traffic light data prediction a vehicle in an intelligent transportation system. SPaT data and/or MAP data may be received in a vehicle from a direct source and a network source, and processed to merge data from the two different platforms. The merging of the data allows a vehicle to generate inferences relating to traffic light data received on direct, low-latency, connections, while taking advantage of the more comprehensive data provided from the network source.