A predictive and adaptive lighting control method comprising the step of providing a controllable lighting system of a predetermined area (10, 12), the method being characterized by the following steps: - providing an artificial intelligence based on sound, wherein said artificial intelligence based on sound is adapted to detect sound data and to transform the detected sound data into traffic data; - performing a step of sound training of the artificial intelligence by means of images, comprising: simultaneously detecting image data and sound data of a same scene, classifying the detected image data based on object recognition, and associating said detected sound data to the classified detected image data, thereby creating sample soundtracks; - after the step of sound training by means of images: a) performing at least one adaptive step, comprising: a1) creating a traffic data history of said predetermined area based on detected sound data compared at least with the sample soundtracks; a2) establishing at least lighting setting limits of said predetermined area based on the traffic data history; b) performing at least one predictive step comprising: b1) predicting local traffic events based at least on detected sound data compared at least with the sample soundtracks; b2) controlling the lighting system of said predetermined area to adapt to the predicted local traffic events within the lighting setting limits established by the at least one adaptive step. - providing an artificial intelligence based on sound, wherein said artificial intelligence based on sound is adapted to detect sound data and to transform the detected sound data into traffic data; - performing a step of sound training of the artificial intelligence by means of images, comprising: simultaneously detecting image data and sound data of a same scene, classifying the detected image data based on object recognition, and associating said detected sound data to the classified detected image data, thereby creating sample soundtracks; simultaneously detecting image data and sound data of a same scene, classifying the detected image data based on object recognition, and associating said detected sound data to the classified detected image data, thereby creating sample soundtracks; - after the step of sound training by means of images: a) performing at least one adaptive step, comprising: a1) creating a traffic data history of said predetermined area based on detected sound data compared at least with the sample soundtracks; a2) establishing at least lighting setting limits of said predetermined area based on the traffic data history; b) performing at least one predictive step comprising: b1) predicting local traffic events based at least on detected sound data compared at least with the sample soundtracks; b2) controlling the lighting system of said predetermined area to adapt to the predicted local traffic events within the lighting setting limits established by the at least one adaptive step. a) performing at least one adaptive step, comprising: a1) creating a traffic data history of said predetermined area based on detected sound data compared at least with the sample soundtracks; a2) establishing at least lighting setting limits of said predetermined area based on the traffic data history; a1) creating a traffic data history of said predetermined area based on detected sound data compared at least with the sample soundtracks; a2) establishing at least lighting setting limits of said predetermined area based on the traffic data history; b) performing at least one predictive step comprising: b1) predicting local traffic events based at least on detected sound data compared at least with the sample soundtracks; b2) controlling the lighting system of said predetermined area to adapt to the predicted local traffic events within the lighting setting limits established by the at least one adaptive step. b1) predicting local traffic events based at least on detected sound data compared at least with the sample soundtracks; b2) controlling the lighting system of said predetermined area to adapt to the predicted local traffic events within the lighting setting limits established by the at least one adaptive step.