A method, comprising: receiving, at a computing device configured to control a vehicle, from a plurality of sources of information, information relating to detection of a construction zone on a road on which the vehicle is travelling, wherein each source of information of the plurality of sources of information is assigned a respective reliability metric indicative of a level of confidence of the detection of the construction zone based on respective information received from that source of information, wherein the information received from the plurality of sources of information includes one or more of: (i) image-based information, (ii) LIDAR-based information, (iii) RADAR-based information, (iv) traffic information and (v) map information; determining, using the computing device, a likelihood of existence of the construction zone on the road, based on the information and respective reliability metrics of the plurality of sources of information, wherein the determining the likelihood comprises processing the information by a classifier trained by previously collected training data, wherein training the classifier comprises: receiving training data for a plurality of driving situations of the vehicle, wherein the training data includes, for each of the plurality of driving situations, one or more of: (i) respective image-based information, (ii) respective LIDAR-based information, (iii) respective RADAR-based information, (iv) respective traffic information, and (v) respective map information; receiving positive or negative indication of respective existence of a respective construction zone corresponding to respective training data for each of the driving situations; correlating, for each driving situation, the positive or negative indication with the respective training data; and determining parameters of the classifier based on the correlations for the plurality of driving situations; modifying, using the computing device, a control strategy associated with a driving behavior of the vehicle, based on the likelihood; and controlling, using the computing device, the vehicle based on the modified control strategy. receiving, at a computing device configured to control a vehicle, from a plurality of sources of information, information relating to detection of a construction zone on a road on which the vehicle is travelling, wherein each source of information of the plurality of sources of information is assigned a respective reliability metric indicative of a level of confidence of the detection of the construction zone based on respective information received from that source of information, wherein the information received from the plurality of sources of information includes one or more of: (i) image-based information, (ii) LIDAR-based information, (iii) RADAR-based information, (iv) traffic information and (v) map information; determining, using the computing device, a likelihood of existence of the construction zone on the road, based on the information and respective reliability metrics of the plurality of sources of information, wherein the determining the likelihood comprises processing the information by a classifier trained by previously collected training data, wherein training the classifier comprises: receiving training data for a plurality of driving situations of the vehicle, wherein the training data includes, for each of the plurality of driving situations, one or more of: (i) respective image-based information, (ii) respective LIDAR-based information, (iii) respective RADAR-based information, (iv) respective traffic information, and (v) respective map information; receiving positive or negative indication of respective existence of a respective construction zone corresponding to respective training data for each of the driving situations; correlating, for each driving situation, the positive or negative indication with the respective training data; and determining parameters of the classifier based on the correlations for the plurality of driving situations; modifying, using the computing device, a control strategy associated with a driving behavior of the vehicle, based on the likelihood; and controlling, using the computing device, the vehicle based on the modified control strategy. receiving training data for a plurality of driving situations of the vehicle, wherein the training data includes, for each of the plurality of driving situations, one or more of: (i) respective image-based information, (ii) respective LIDAR-based information, (iii) respective RADAR-based information, (iv) respective traffic information, and (v) respective map information; receiving positive or negative indication of respective existence of a respective construction zone corresponding to respective training data for each of the driving situations; correlating, for each driving situation, the positive or negative indication with the respective training data; and determining parameters of the classifier based on the correlations for the plurality of driving situations; modifying, using the computing device, a control strategy associated with a driving behavior of the vehicle, based on the likelihood; and controlling, using the computing device, the vehicle based on the modified control strategy.