A computer-implemented method comprising: determining a drop in actual vehicle volume relative to an expected vehicle volume in a geographic area over a time epoch, wherein the expected vehicle volume represents an expected number of unique vehicles traveling in the geographic area over the time epoch; computing an adjusted expected vehicle volume for a road segment in the geographic area based on the drop and a historical expected vehicle volume for the road segment over the time epoch; determining a time window for the automatic road closure detection, the time window comprising at least the time epoch; and either: (i) inactivating the time window based on determining that the adjusted expected volume for the road segment results in a total expected vehicle volume for the time window being below a threshold expected volume; or (ii) accessing a history of time epochs longer than the time window and expanding the time window further back in the history of time epochs to avoid the inactivating of the time window, based on determining that the adjusted expected volume for the road segment results in a total expected vehicle volume for the time window being above a threshold expected volume and performing an automatic road closure detection on the road segment using the time window. determining a drop in actual vehicle volume relative to an expected vehicle volume in a geographic area over a time epoch, wherein the expected vehicle volume represents an expected number of unique vehicles traveling in the geographic area over the time epoch; computing an adjusted expected vehicle volume for a road segment in the geographic area based on the drop and a historical expected vehicle volume for the road segment over the time epoch; determining a time window for the automatic road closure detection, the time window comprising at least the time epoch; and either: (i) inactivating the time window based on determining that the adjusted expected volume for the road segment results in a total expected vehicle volume for the time window being below a threshold expected volume; or (ii) accessing a history of time epochs longer than the time window and expanding the time window further back in the history of time epochs to avoid the inactivating of the time window, based on determining that the adjusted expected volume for the road segment results in a total expected vehicle volume for the time window being above a threshold expected volume and performing an automatic road closure detection on the road segment using the time window. (i) inactivating the time window based on determining that the adjusted expected volume for the road segment results in a total expected vehicle volume for the time window being below a threshold expected volume; or (ii) accessing a history of time epochs longer than the time window and expanding the time window further back in the history of time epochs to avoid the inactivating of the time window, based on determining that the adjusted expected volume for the road segment results in a total expected vehicle volume for the time window being above a threshold expected volume and performing an automatic road closure detection on the road segment using the time window. <EOS>