A polarimetric radar system for object classification and road condition estimation includes a radar transmitter unit for transmitting radar waves of different polarizations, a radar receiving unit for receiving radar waves of different polarizations, a radar signal generating unit for generating and providing the radar waves to be transmitted, a signal processing circuitry for processing the generated and received radar waves, and a signal evaluation unit. The signal evaluation unit receives processed signals from the signal processing circuitry, estimates values for a set of predetermined object parameters on the basis of the received processed signals, and selects an object class from a plurality of predetermined object classes upon detecting a match of the estimated values with one out of a plurality of predetermined sets of object parameters. The signal evaluation unit is configured to provide information that is indicative of the at least one classified object.

A system and method for determining a predicted trajectory of a human-driven host vehicle as the human-driven host vehicle approaches a traffic signal. The method includes: obtaining a host vehicle-traffic light distance d.sub.x and a longitudinal host vehicle speed v.sub.x that are each taken when the human-driven host vehicle approaches the traffic signal; obtaining a traffic light signal phase P.sub.t and an traffic light signal timing T.sub.t; obtaining a time of day TOD; providing the host vehicle-traffic light distance d.sub.x, the longitudinal host vehicle speed v.sub.x, the traffic light signal phase P.sub.t, the traffic light signal timing T.sub.t, and the time of day TOD as input into an artificial intelligence (AI) vehicle trajectory prediction application, wherein the AI vehicle trajectory prediction application implements an AI vehicle trajectory prediction model; and determining the predicted trajectory of the human-driven host vehicle using the AI vehicle trajectory prediction application.

A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimise the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

A method of generating an output movement layout for a traffic intersection is disclosed which includes receiving intersection geographical data, establishing a center point for the intersection, receiving vehicle global positioning system (GPS) data, establishing a radius of interest for the intersection based on the received vehicle GPS data, establishing entry and exit headings for each vehicle based on the GPS data, generating an angular cluster chart based on the entry and exit headings of each vehicle, and generating an output movement layout for the intersection based on the generated angular cluster chart. Further, a method for green time reallocation at traffic signals is disclosed that is based on the congestion experienced by vehicles identified as following specific movements.

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 control method for a first moving body includes: acquiring, from a second moving body, emergency information that includes information on a scheduled route on which an emergency vehicle travels in an emergency; and transmitting, by device-to-device communication, the emergency information to a third moving body that is predicted to travel on the scheduled route.

The embodiment of the present disclosure provides a method for setting time of traffic lights in a smart city and an Internet of Things system. The method is implemented by an Internet of Things system for setting time of traffic lights in a smart city, which includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The method includes: obtaining pedestrian information and intersection information of a target intersection, and the target intersection being an intersection provided with the traffic lights; determining, based on the pedestrian information and the intersection information, the scheme for setting time of the traffic lights at the target intersection; and sending a control instruction corresponding to the scheme for setting the time to the object platform, and in response to the received control instruction, controlling lighting duration of the traffic lights by the object platform.

The embodiment of the present disclosure provides a method for setting time of traffic lights in a smart city and an Internet of Things system. The method is implemented by an Internet of Things system for setting time of traffic lights in a smart city, which includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The method includes: obtaining pedestrian information and intersection information of a target intersection, and the target intersection being an intersection provided with the traffic lights; determining, based on the pedestrian information and the intersection information, the scheme for setting time of the traffic lights at the target intersection; and sending a control instruction corresponding to the scheme for setting the time to the object platform, and in response to the received control instruction, controlling lighting duration of the traffic lights by the object platform.

An impact tracking system includes a sensor module that mounts to a fixed crash attenuator, sign, guardrail, or other roadway devices installed along a roadway. When the crash attenuator or other asset is impacted by an errant vehicle, the impact tracker, comprising a sensor system, senses and captures the impact data and sends an alert message to a remote receiver. The receiver may comprise known data receiving means, such as computers or phone systems, which may receive emails, text messages, photos, and the like in real or near real time. Received data may be analyzed, stored, and/or re-transmitted to additional receivers, which may include road authorities, such as transportation departments responsible for inspecting and repairing the impact attenuators.

Aspects of traffic warning and data capture are discussed. An indication of an approaching vehicle and an ambient light level are received by a device associated with a signboard. Based on the indication and the ambient light level, an alert is provided to a driver of the approaching vehicle. For providing the alert, a first illumination panel positioned to direct light onto a face of signboard is lighted. In various embodiments, lights in different colors are flashed for alerting a driver of the approaching vehicle of different hazardous driving conditions, wherein the lights of different colors are flashed at different instances and in one more directions. Further, the device can record and store or share traffic and pedestrian movement information for further analysis.