System and techniques for an environmental control loop are described herein. A device for an environmental control loop can include a memory including instructions and processing circuitry that when in operation, can be configured by the instructions to receive environmental sensor data from a first component in a set of heterogeneous components installed in an environment with a controller. The environmental sensor data can indicate a service level value sensed by the first component. The controller can also measure a violation of a service level objective based on comparing the environmental sensor data to a threshold. The controller can also transmit an adjustment to an operating parameter of a second component of the set of heterogeneous components. The adjustment can be operative to attenuate the violation of the service level objective when implemented by the second component.

A system and a method for the determination and forecast of absolute and relative risks for car accidents based on exclusively non-insurance related measuring data and based on automated traffic pattern recognition, wherein data records of accident events are generated and location-dependent probability values for specific accident conditions associated with the risk of car accident are determined. The proposed system provides a grid-based, technically new way of automation of risk-prediction related to motor accidents using environment based factors including socio-economic factors that are impacting motor traffic and are location dependent received from appropriate measuring devices and systems. In this way, predictions of the accident risk for arbitrary areas can be provided. The system is calibrated by comparing features of areas or road segments with the number and type of accidents that have measured or registered there, linking the features and accident data e.g. using the below discussed machine learning techniques.

A method performed in an Internet of Vehicles data transmission system is provided in the present disclosure, where the Internet of Vehicles data transmission system includes a plurality of clusters and at least one road-side unit connected to the Internet, each cluster includes at least one on-board unit, and the at least one on-board unit includes a cluster head on-board unit, and the method includes: transmitting data in the on-board unit to one of the at least one road-side unit, via the cluster head on-board unit of the cluster where the on-board unit belongs. An on-board unit and an Internet of Vehicles data transmission system are further provided.

Systems and techniques are described for consuming data in an intelligent transport system. In some implementations, a system includes a display screen device and sensors. The sensors generates data describing sensor observations of a roadway at a first location and provides data describing the observations to the display screen device. The display screen device receives the data and determines an event and a type of the event. The display screen device displays second data indicative of the type of event, the second data being of a format that is consumable by a sensor on a vehicle traversing the roadway towards the first location, the sensor (i) located within a first resolution distance from the display screen device and (ii) located outside a second resolution distance of detecting the event, wherein the second data is used by an on-board processing system of the vehicle to adjust its driving behavior.

Upon identifying a plurality of target regions for a monitored region, priority levels for the respective target regions are determined based on a user input. Vehicle sensors that are available to monitor the respective target regions are determined based on the priority levels for the respective target regions and parameters for the respective vehicle sensors. Based on the available vehicle sensors and the priority levels for the respective target regions, a pose is determined for a vehicle that optimizes monitoring of the target regions. The vehicle is operated to the pose.

According to one example there is provided a method comprising selecting a first location from a set of locations and analysing, by a processor, data collected from a first vehicle located within a first distance of the first location. A first value representative of a first performance parameter of the first vehicle is generated. A second value representative of a second performance parameter of the first vehicle is generated. At least one of the first and second values is compared with a first threshold and, when one of the first and second values is greater than the first threshold, a safety alert is issued greater than (in some examples, less than).

A control device outputs control information to a sidewalk configured such that an inclination of a road surface is changeable. When the control device detects a wheelchair waiting on the sidewalk for crossing a road, the control device outputs, as the control information, information of instruction to reduce the inclination of the road surface of the sidewalk.

A method of directing traffic flow includes receiving, by a processor, navigation information from a vehicle in a multi-edge communication network, and receiving, by the processor, a status of an edge node traffic control device of the multi-edge communication network. The edge node traffic control device is configured to regulate traffic flow on a path segment. The method includes determining, by the processor, a navigation command based on the navigation information and the status, and outputting, by the processor, the navigation command to the vehicle through the multi-edge communication network.

This application provides an information processing method performed by a computing device. The method includes the following steps: acquiring free parking space information of a target path in a time period T1, the target path including N stop areas, the time period T1 being divided into K unit times; determining a free parking space change trend of the N stop areas in the time period T1 according to the free parking space information, and mining the free parking space change trend of the N stop areas in the time period T1 to obtain parking space prediction information; and performing traffic planning for a vehicle along the target path according to the parking space prediction information. The solution can well adapt to traffic scene requirements and improve the accuracy of traffic planning.

Methods for providing track condition information include receiving, at a first mobile track control station, a track condition notification. Such methods further include transmitting, from the first mobile track control station to a second mobile track control station in a network of mobile track control stations, the track condition notification. Such methods further include receiving, at the first mobile track control station from a third mobile track control station, affected track sector data regarding an affected track sector. Such methods further include transmitting, from the first mobile track control station to a first mobile track information station within a first vehicle, the affected track sector data, wherein the affected track sector data is configured to be used by the first mobile track information station to determine whether the first vehicle is within the affected track sector.