Determining the minimum percentage of vehicles equipped with a uCAN necessary to accurately estimate the traffic speed

In this thesis the use of in-vehicle data, obtained from a uCAN, for the estimation of the traffic speed is investigated. Since vehicles are not equipped with a uCAN yet, the uCAN data is emulated. For this emulation, the traffic simulation model Fosim is used. With the emulated uCAN data, the minimum percentage of vehicles equipped with a uCAN that is necessary to accurately estimate the traffic speed is determined. This minimum percentage is equal to the minimum percentage for which the corresponding estimator for the traffic speed satisfies the accuracy requirement of NDW. The obtained percentage is applied to practical settings to generalize this result from a road section to the highway network of the Netherlands. Since the estimator for the traffic speed, based on data from inductive loop detectors, that is used nowadays does not satisfy the NDW requirement, the necessary minimum percentage of vehicles with a uCAN is also determined for two weaker requirements. The results based on these requirements are also generalized to the Dutch highway network. All three obtained necessary minimum percentages of vehicles with a uCAN for the three requirements also hold in the practical settings.
Statistics
Applied mathematics
Electrical Engineering, Mathematics and Computer Science