Method for assisting a driver in driving a vehicle, comprising the steps of: producing sensor data by at least one sensor (2, 3) physically sensing the environment of a host vehicle and/or by obtaining data conveying information about the environment of a host vehicle; detecting an object in a path of the host vehicle based on the sensor data; controlling a distance between the host vehicle and the detected object based on a preset gap (t GAP); estimating environmental conditions of the host vehicle based on the sensor data; determining 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 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 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, in the determining step, 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, an ego-distance between the host vehicle and the detected object and distances between other vehicles (B..D) are estimated; and in the determining step, 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 (2, 3) physically sensing the environment of a host vehicle and/or by obtaining data conveying information about the environment of a host vehicle; detecting an object in a path of the host vehicle based on the sensor data; controlling a distance between the host vehicle and the detected object based on a preset gap (t GAP); estimating environmental conditions of the host vehicle based on the sensor data; determining 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 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 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, in the determining step, 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, an ego-distance between the host vehicle and the detected object and distances between other vehicles (B..D) are estimated; and in the determining step, 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).