Estimating accident risk level of road traffic participants

A non-transitory computer-readable medium carrying a program code which when executed by a computer causes the computer to perform a method of estimating an accident risk level of a road traffic participant, the road traffic participant being a first participant among a plurality of road traffic participants, the plurality of road traffic participants including the first participant and one or more other participants, the method comprising:

• generating a plurality of virtual trajectories of the first participant based on at least one of:
• a recorded initial position of the first participant, a recorded final position of the first participant, and a recorded initial position of each of the one or more other participants, each of the plurality of virtual trajectories of the first participant running from the recorded initial position of the first participant to the recorded final position of the first participant, the plurality of virtual trajectories of the first participant being associated one-to-one with a plurality of virtual behaviors of the first participant, wherein the plurality of virtual behaviors of the first participant correspond to different maneuvers performed by the first participant from the recorded initial position to the recorded final position, while having interactions or negotiations with the one or more other participants;
• identifying, among the plurality of virtual trajectories of the first participant, a virtual trajectory that is most similar to a recorded trajectory of the first participant, the recorded trajectory of the first participant running from the recorded initial position to the recorded final position of the first participant;
• estimating the accident risk level based on the virtual behavior associated with the identified virtual trajectory, wherein the accident risk level is calculated based on take the way/give the way (TW/GW) ratios associated with the first participant, a number of traffic rules broken by the first participant, a number of accidents taken care by the first participant, and a plurality of population risk features associated with the first participant;
• an autonomous vehicle of the first participant automatically taking proactive action based on the estimated accident risk level;
• and
• initiating a communication between the first participant and the one or more other participants to apply appropriate controls to avoid collisions, based on the estimated accident risk level.

A system for operating a first participant among a plurality of road traffic participants, the system comprising at least one processor coupled to memory, the memory storing instructions, which when executed by the processor cause the system to:

• generating a plurality of virtual trajectories of the first participant based on at least one of a recorded initial position of the first participant, a recorded final position of the first participant, and a recorded initial position of each of one or more other road traffic participants, each of the plurality of virtual trajectories of the first participant running from the recorded initial position of the first participant to the recorded final position of the first participant, the plurality of virtual trajectories of the first participant being associated one-to-one with a plurality of virtual behaviors of the first participant, wherein the plurality of virtual behaviors of the first participant correspond to different maneuvers performed by the first participant from the recorded initial position to the recorded final position, while having interactions or negotiations with the one or more other participants;
• identifying, among the plurality of virtual trajectories of the first participant, a virtual trajectory that is most similar to a recorded trajectory of the first participant, the recorded trajectory of the first participant running from the recorded initial position to the recorded final position of the first participant;
• estimating the accident risk level based on the virtual behavior associated with the identified virtual trajectory, wherein the accident risk level is calculated based on take the way/give the way (TW/GW) ratios associated with the first participant, a number of traffic rules broken by the first participant, a number of accidents taken care by the first participant, and a plurality of population risk features associated with the first participant;
• an autonomous vehicle of the first participant automatically taking proactive action based on the estimated accident risk level;
• and
• initiating a communication between the first participant and the one or more other participants to apply appropriate controls to avoid collisions, based on the estimated accident risk level.