Method for obtaining emission and/or fuel consumption data associated with a road segment, the method comprising the steps of - receiving by a system comprising a receiving facility at least position data (p) from a vehicle to associate a use of the vehicle with said road segment, the receiving facility being located remote from the vehicle, - determining by the system, through derivation from the received position data (p) or through receipt from the vehicle, respective values for at least a first and a second parameter (v, a) indicative of a movement of the vehicle on said road segment, - updating by the system a stored probability distribution based on said determined respective values, - optionally repeating the foregoing steps a number of times for the same or another vehicle, - calculating an expected emission and/or fuel consumption for a typical vehicle on said road segment using the probability distribution as estimated while executing the foregoing steps characterized in that: - the probability distribution is a frequency distribution (F(i1,i2,...,in)) having classes for combinations of value ranges for at least said first and second parameters, - said frequency distribution is updated by updating a frequency count for a class of said frequency distribution corresponding to the determined values for at least said first and second parameters, and in that - the expected emission and/or fuel consumption for the typical vehicle on said road segment is calculated as a weighted average (As), wherein expected emission or fuel consumption values from an emission or fuel consumption model(f A) that indicates expected emission or expected fuel consumption as a function of the values of at least the first and second parameters are weighted by the relative frequencies with which said values occur in the frequency distribution. - receiving by a system comprising a receiving facility at least position data (p) from a vehicle to associate a use of the vehicle with said road segment, the receiving facility being located remote from the vehicle, - determining by the system, through derivation from the received position data (p) or through receipt from the vehicle, respective values for at least a first and a second parameter (v, a) indicative of a movement of the vehicle on said road segment, - updating by the system a stored probability distribution based on said determined respective values, - optionally repeating the foregoing steps a number of times for the same or another vehicle, - calculating an expected emission and/or fuel consumption for a typical vehicle on said road segment using the probability distribution as estimated while executing the foregoing steps characterized in that: - the probability distribution is a frequency distribution (F(i1,i2,...,in)) having classes for combinations of value ranges for at least said first and second parameters, - said frequency distribution is updated by updating a frequency count for a class of said frequency distribution corresponding to the determined values for at least said first and second parameters, and in that - the expected emission and/or fuel consumption for the typical vehicle on said road segment is calculated as a weighted average (As), wherein expected emission or fuel consumption values from an emission or fuel consumption model(f A) that indicates expected emission or expected fuel consumption as a function of the values of at least the first and second parameters are weighted by the relative frequencies with which said values occur in the frequency distribution. - the probability distribution is a frequency distribution (F(i1,i2,...,in)) having classes for combinations of value ranges for at least said first and second parameters, - said frequency distribution is updated by updating a frequency count for a class of said frequency distribution corresponding to the determined values for at least said first and second parameters, and in that - the expected emission and/or fuel consumption for the typical vehicle on said road segment is calculated as a weighted average (As), wherein expected emission or fuel consumption values from an emission or fuel consumption model(f A) that indicates expected emission or expected fuel consumption as a function of the values of at least the first and second parameters are weighted by the relative frequencies with which said values occur in the frequency distribution.