Methods and systems for dynamically providing routes to users of vehicles. In some examples, a method includes determining a first traffic flow model for uninformed drivers of vehicles and determining a second traffic flow model for informed drivers of vehicles. Each of the informed drivers makes driving decisions based on receiving dynamic routes from a traffic routing system. The method includes iteratively updating the second traffic flow model using the first traffic flow model until a convergence criterion is met. The method includes sending, to at least one informed driver, a first dynamic route from a first origin to a first destination using the second traffic flow model.

A traffic signal recognition method and a traffic signal recognition device estimate whether or not a vehicle can be decelerated at a predetermined deceleration acceleration and can stop before a stop line based on a position of the stop line corresponding to a traffic signal located in a traveling direction of the vehicle, select the traffic signal corresponding to the stop line as a target traffic signal in a case where it is estimated that the vehicle cannot stop before the stop line, set detection area corresponding to the target traffic signal on an image obtained by capturing the traveling direction of the vehicle, and determine a display state of the target traffic signal by executing image processing on the detection area.

Methods and apparatus for assessing coordinate data are disclosed. An example apparatus includes a processor to receive coordinate data relating to a desired path and task of a vehicle. The processor of the example apparatus to determine if the coordinate data satisfies a threshold. The processor of the example apparatus to determine if the coordinate data is compatible with a positioning system of the vehicle. The processor of the example apparatus to authorize operation of the vehicle to traverse the desired path based on the coordinate data.

Systems and methods of traffic light detection/perception are provided for detecting traffic lights states and/or transitions for different traffic light layouts. Basic traffic light information can be obtained regarding, e.g., the existence of a traffic light(s) at an intersection being approached by a vehicle, and which bulb(s) may apply to/control a particular lane of traffic at the intersection. Based on that information, bulb-specific or bulbwise detection can be performed. Upon determining the existence of a traffic light, specific bulbs within or making up the traffic light can be detected, and their various states can be predicted or estimated relative to a corresponding bulb group. The various states can then be simplified and output as a message(s) upon which autonomous control of a vehicle can be based.

A host vehicle computer is programmed to receive intersection arrival data via vehicle-to-vehicle communications from one or more secondary vehicles. The computer assigns priority to each of the secondary vehicles based on the intersection arrival data and identifies one of the secondary vehicles as an immediately preceding vehicle. Upon receiving a ready signal clearance from the immediately preceding vehicle, the computer actuates a powertrain of the host vehicle, causing the host vehicle to proceed into, and through, the intersection.

In a vehicle control system, when an occupant visually recognizes a signboard and signboard course information is included in signboard information corresponding to the signboard, the signboard information is displayed on a display device. When the signboard course information out of the signboard information is visually recognized continuously, a control device generates course information based on the signboard course information. The generated course information is output to a vehicle control ECU, and course change processing based on the course information is performed by the vehicle control ECU.

A vehicle including a microphone, a display device, a storage device, and a controller connected to the microphone, the display device, and the storage device are provided. The controller is configured to control the display device to output guide information including at least one voice command or a shortened voice command corresponding to the at least one voice command based on at least one of use history information of the voice commands stored in the storage device, operation information of at least one device of the vehicle, or state information of the vehicle, receive voice data including at least one of a first voice command or a first shortened voice command corresponding to the first voice command among the at least one voice command through the microphone, and control at least one device of the vehicle based on the received voice data.

Examples described herein provide a computer-implemented method that includes defining, by a processing device, a plurality of parameters so that any orthogonal intersection can be described. The method further includes building, by the processing device, an orthogonal parameterized model that can represent any orthogonal intersection based at least in part on the plurality of parameters that can describe any intersection of interest. The method further includes expanding, by the processing device, the orthogonal parameterized model to generate a fully parameterized intersection model that accounts for intersection complexities. The method further includes building, by the processing device, a low-fidelity analytical that computes various metrics based on the fully parameterized intersection model.

A traffic signal recognition method and a traffic signal recognition device estimate whether or not a vehicle can be decelerated at a predetermined deceleration acceleration and can stop before a stop line based on a position of the stop line corresponding to a traffic signal located in a traveling direction of the vehicle, select the traffic signal corresponding to the stop line as a target traffic signal in a case where it is estimated that the vehicle cannot stop before the stop line, set detection area corresponding to the target traffic signal on an image obtained by capturing the traveling direction of the vehicle, and determine a display state of the target traffic signal by executing image processing on the detection area.

A method for controlling autonomous lane change of a vehicle is disclosed. The method comprising: receiving a destination from a user; determining a current position of the vehicle; calculating a driving route from the current position to the destination; when an intersection exists within in a predetermined distance on the driving route while performing the route guidance according to the calculated driving route, confirming a ranking of a search link positioned on the calculated driving route among search links exiting from an end node corresponding to the intersection; comparing rotation direction information of the search link corresponding to the confirmed ranking of the search link with moving direction information of a lane of a lane link corresponding to the lane on which the vehicle is currently positioned; and performing lane change guidance of the vehicle according to a comparison result of the rotation direction information and the moving direction information.