An object of the present disclosure is to enable an emergency vehicle to travel more smoothly to a destination. An information processing apparatus sets a special lane for traveling of an emergency vehicle on a road on a scheduled travel route along which the emergency vehicle travels to reach a destination. Furthermore, the information processing apparatus transmits a display command to display the special lane to a display apparatus that displays information along a lane on a road surface of the road on the scheduled travel route.

An object of the present disclosure is to enable an emergency vehicle to travel more smoothly to a destination. An information processing apparatus sets a special lane for traveling of an emergency vehicle on a road on a scheduled travel route along which the emergency vehicle travels to reach a destination. Furthermore, the information processing apparatus transmits a display command to display the special lane to a display apparatus that displays information along a lane on a road surface of the road on the scheduled travel route.

An on-board unit (OBU) of a vehicle receives one or more data messages indicative of intersection geometry for an upcoming intersection along a roadway being traversed by the vehicle and traffic control status of a traffic control of the intersection. An outbound direction for the vehicle through the intersection is identified. A first traffic message is sent to preempt the traffic control to allow the vehicle to perform a maneuver to traverse the intersection in the outbound direction. The maneuver is indicated as complete and a second traffic message is sent to discontinue the preempt of the traffic control.

An on-board unit (OBU) of a vehicle receives one or more data messages indicative of intersection geometry for an upcoming intersection along a roadway being traversed by the vehicle and traffic control status of a traffic control of the intersection. An outbound direction for the vehicle through the intersection is identified. A first traffic message is sent to preempt the traffic control to allow the vehicle to perform a maneuver to traverse the intersection in the outbound direction. The maneuver is indicated as complete and a second traffic message is sent to discontinue the preempt of the traffic control.

The programming of traffic lights systems (TLS) in cities is a complex optimization problem. The main problem of the actual process is that this is a long, expensive and imprecise process that must be repeated regularly to reflect changes in traffic flow. The invention consists of using Vehicular's ad hoc networks (VANET) to collect traffic data in real time and transmit them to a traffic management system. VANET is currently defined by the IEEE 802.11p standard. We propose to use VANET in correlation with others techniques to control TLS. This invention will permit to program actual TLS more efficiently, manage a network in real-time and it will be possible to be used for urban planning studies, transport planning or to simulate the exit of special events (sporting, cultural, parades, etc.). It also allows programming TLS in real time with any efficient algorithm that exists or to be developed.

The programming of traffic lights systems (TLS) in cities is a complex optimization problem. The main problem of the actual process is that this is a long, expensive and imprecise process that must be repeated regularly to reflect changes in traffic flow. The invention consists of using Vehicular's ad hoc networks (VANET) to collect traffic data in real time and transmit them to a traffic management system. VANET is currently defined by the IEEE 802.11p standard. We propose to use VANET in correlation with others techniques to control TLS. This invention will permit to program actual TLS more efficiently, manage a network in real-time and it will be possible to be used for urban planning studies, transport planning or to simulate the exit of special events (sporting, cultural, parades, etc.). It also allows programming TLS in real time with any efficient algorithm that exists or to be developed.

Systems and methods for traffic control and route guidance are provided. In some aspects, a method for controlling traffic includes receiving vehicle information for a vehicle navigating a location on a road network and identifying a maneuver of the vehicle at the location based on the vehicle information. The method also includes determining an intrusiveness of the maneuver made by the vehicle, and controlling traffic at the location based on the intrusiveness of the vehicle.

Systems and methods for traffic control and route guidance are provided. In some aspects, a method for controlling traffic includes receiving vehicle information for a vehicle navigating a location on a road network and identifying a maneuver of the vehicle at the location based on the vehicle information. The method also includes determining an intrusiveness of the maneuver made by the vehicle, and controlling traffic at the location based on the intrusiveness of the vehicle.

A self-driving or autonomous vehicle has a traffic-prioritization processor to send or receive a payment to or from a central server to obtain a traffic prioritization for a route or to accept a traffic de-prioritization for the route. The central server receives and distributes payments to other vehicles traveling the route. The vehicle communicates with the central server to receive a plurality of levels of prioritization which range from a highest prioritization to a lowest prioritization, and the costs or payouts associated with each of the levels.

The present disclosure provides a method for managing traffic congestion in a smart city. The method includes predicting, based on a trained traffic state prediction model, one or more target areas where the traffic congestion is likely to occur from the preset area during a next time period by processing the traffic data information during the current time period, the traffic state prediction model being a Graph Neural Network (GNN) model and a predicted result being output by at least one node of a traffic state prediction model; determining whether a traffic scheduling strategy is needed to be switched based on traffic data information in the one or more target areas during the next time period; and in response to determining that the traffic scheduling strategy is needed to be switched, switching a first traffic scheduling strategy to a second traffic scheduling strategy.