Method for assisting a driver in driving a vehicle, comprising the steps of: producing sensor data by at least one sensor physically sensing the environment of a host vehicle (E) and/or by obtaining data conveying information about the environment of a host vehicle (E); detecting an object (A) in a path of the host vehicle (E) based on the sensor data; controlling a distance between the host vehicle (E) and the detected object (A) based on a preset gap (t GAP ); estimating (S1) environmental conditions of the host vehicle (E) based on the sensor data; determining (S2) gap adaption indicators associated to the estimated environmental conditions, wherein each of the gap adaption indicators indicates an extension or a reduction of the preset gap (t GAP ); and adjusting (S4) the preset gap (t GAP ) based on the gap adaption indicators, characterized by detecting a manual adjustment of the preset gap (T GAP ) ; and storing current environmental conditions associated to the manual adjustment; wherein at least the current geographic location of the host vehicle (E) and the current time of day associated to the manual adjustment are stored and, when a geographic location that corresponds to the stored geographic location or a time of day that corresponds to the stored time of day are estimated in the estimating step (S1), in the determining step (S2), a gap adaption indicator indicating an adjustment of the preset gap (t GAP ) that corresponds to the manual adjustment is determined; and in the estimating step (S1), an ego-distance between the host vehicle (E) and the detected object (A) and distances between other vehicles (B..D) are estimated; and in the determining step (S2), a gap adaption indicator is determined based on the difference between the preset gap (t GAP ) and an average of the time gaps between the other vehicles (B..D), minimum of the time gaps between the other vehicles (B..D) and/or maximum of the time gaps between the other vehicles (B..D). producing sensor data by at least one sensor physically sensing the environment of a host vehicle (E) and/or by obtaining data conveying information about the environment of a host vehicle (E); detecting an object (A) in a path of the host vehicle (E) based on the sensor data; controlling a distance between the host vehicle (E) and the detected object (A) based on a preset gap (t GAP ); estimating (S1) environmental conditions of the host vehicle (E) based on the sensor data; determining (S2) gap adaption indicators associated to the estimated environmental conditions, wherein each of the gap adaption indicators indicates an extension or a reduction of the preset gap (t GAP ); and adjusting (S4) the preset gap (t GAP ) based on the gap adaption indicators, characterized by detecting a manual adjustment of the preset gap (T GAP ) ; and storing current environmental conditions associated to the manual adjustment; wherein at least the current geographic location of the host vehicle (E) and the current time of day associated to the manual adjustment are stored and, when a geographic location that corresponds to the stored geographic location or a time of day that corresponds to the stored time of day are estimated in the estimating step (S1), in the determining step (S2), a gap adaption indicator indicating an adjustment of the preset gap (t GAP ) that corresponds to the manual adjustment is determined; and in the estimating step (S1), an ego-distance between the host vehicle (E) and the detected object (A) and distances between other vehicles (B..D) are estimated; and in the determining step (S2), a gap adaption indicator is determined based on the difference between the preset gap (t GAP ) and an average of the time gaps between the other vehicles (B..D), minimum of the time gaps between the other vehicles (B..D) and/or maximum of the time gaps between the other vehicles (B..D). <EOS>