The present disclosure includes apparatuses, methods, and systems for secure communication in a traffic control network. An embodiment includes a memory, and circuitry configured to receive a traffic control public key from a traffic control device, wherein the traffic control public key is received in response to providing, to the traffic control device, a request to modify content of the traffic control device, encrypt data corresponding to vehicle information using the traffic control public key, provide, to the traffic control device, the encrypted data to store the data in the traffic control device, and access a network of traffic control devices, including the traffic control device, via the data stored in the traffic control device.

A computer system that performs a remedial action is described. During operation, the computer system may receive information corresponding to traffic conditions in an environment (such as traffic flows in at least a portion of a city), where the information is associated with different types of sources distributed in the environment, and the environment includes multiple intersections and roadways. Then, the computer system may identify an event in at least a portion of the environment based at least in part on the information, such as predicting a change in a traffic condition in the environment in a subsequent time interval. Next, the computer system may perform a remedial action based at least in part on the identified event, such as: providing an alert about the event; providing an instruction based at least in part on the event; and/or modifying traffic management in at least the portion of the environment.

A number of ladar sensors, visible cameras, and traffic signal lights are mounted within a traffic control zone, and a local traffic controller is provided to ensure safety and provide optimum traffic flow for vehicular and pedestrian traffic by combining the inputs from the ladar sensors and visible cameras and detecting the type of traffic, the intended path, and then controlling the signal lights dynamically. The local traffic controller also maintains a local traffic database, and communicates via duplex radio link with similarly equipped vehicles to effect an additional control capability. A regional traffic controller communicates with the local traffic controller to provide control and optimal traffic flow within a district control zone, and maintains a district traffic database.

A process is provided for examining a loss of media of a motor vehicle. By use of a first camera arranged on a motor vehicle, a driving route in the area in front of a motor vehicle that is driving in the travel direction and is to be monitored is scanned. The route behind the motor vehicle to be monitored is scanned by way of a second camera arranged on a motor vehicle. When scanning the driving route, a forward image and a rearward image are acquired. The two images are compared for detecting a medium lost by the motor vehicle to be monitored. The corresponding medium can be classified. Appropriate actions can be automatically carried out corresponding to the classification of the medium.

A process is provided for examining a loss of media of a motor vehicle. By use of a first camera arranged on a motor vehicle, a driving route in the area in front of a motor vehicle that is driving in the travel direction and is to be monitored is scanned. The route behind the motor vehicle to be monitored is scanned by way of a second camera arranged on a motor vehicle. When scanning the driving route, a forward image and a rearward image are acquired. The two images are compared for detecting a medium lost by the motor vehicle to be monitored. The corresponding medium can be classified. Appropriate actions can be automatically carried out corresponding to the classification of the medium.

Disclosed herein are systems and methods for implementing virtualized Road-Side Units (vRSUs). Edge computing devices implementing one or more vRSU services may associate vehicles with identifiers that are based at least in part upon the locations of the vehicles. The locations may be established by location services of the edge computing devices, based upon communication received from the vehicles via wireless cellular communication links. The edge computing devices may then process infrastructure information that they receive, for distribution to the vehicles, at the vRSU services. Based upon the processing of infrastructure information at the vRSU services, messages may be generated for transmission to the vehicles (e.g., over the wireless cellular communication links), with the messages carrying information based upon the infrastructure information, such as in the form of safety messages and/or information messages.

A vehicle such as an autonomous or self-driving vehicle has a navigation system for displaying, on a display screen, a user interface presenting a map showing multiple routes. The vehicle includes a traffic-prioritization processor configured to cooperate with the navigation system to present prices and travel times for the multiple routes via the user interface to enable a user of the vehicle to select one of the multiple routes based on both the prices and the travel times displayed on the display screen. The vehicle further includes a radiofrequency data transceiver configured to cooperate with the traffic-prioritization processor to communicate with one or more other vehicles or a central server to negotiate a traffic reprioritization for a user-selected route.

A system for prioritizing traffic having a traffic signal controller (TSC), a processor, a database, and one or more detectors configured to detect the presence of a vehicle having a vehicle identifier. The system is configured so that the processor is in communication with the TSC and at least one detector, and the detectors are configured to detect passing vehicles having a vehicle identifier. In a case the vehicle identifier has a record within the database, the processor an approximate travel time of the vehicle identifier between a location of the detector where the vehicle identifier is detected and a traffic signal connected to the TSC, and a command is set to be sent from the processor to the TSC to change the traffic signal connected to the TSC in a direction of travel of the vehicle identifier if one or more conditions are met. The command sent from the processor to the TSC has a delay of between zero seconds and the approximate travel time calculated.

A system for prioritizing traffic having a traffic signal controller (TSC), a processor, a database, and one or more detectors configured to detect the presence of a vehicle having a vehicle identifier. The system is configured so that the processor is in communication with the TSC and at least one detector, and the detectors are configured to detect passing vehicles having a vehicle identifier. In a case the vehicle identifier has a record within the database, the processor an approximate travel time of the vehicle identifier between a location of the detector where the vehicle identifier is detected and a traffic signal connected to the TSC, and a command is set to be sent from the processor to the TSC to change the traffic signal connected to the TSC in a direction of travel of the vehicle identifier if one or more conditions are met. The command sent from the processor to the TSC has a delay of between zero seconds and the approximate travel time calculated.

A set of incoming lanes are identified within a pre-determined proximity of a traffic signal as candidate lanes to receive a go-signal from the traffic signal. A prioritized overall lane wait time is calculated for each incoming lane. Selected lanes receive the go-signal in the current iteration, based on the prioritized overall lane wait time. An amount of time to allocate to the go-signal is calculated, based on the number of vehicles to flush from the selected lanes. The go-signal is presented to the selected lanes for the allocated time, including non-conflicting lanes. A set of metrics are collected including throughput of vehicles leaving the pre-determined proximity of the traffic signal. Based on the metrics, a time allocation is determined for the next iteration of the go-signal, parameters are updated for the prioritized overall lane wait time, and the next iteration of the traffic signal is initiated.