The objective of this Thesis is the improvement in speed and regularity of transit systems, using real-time control strategies, in particular, vehicle holding and conditional transit priority. This objective is attained by taking into account the inherent uncertainty
of transit operation, due to the random travel times and passenger arrivals at stops. A simulation model of a single transit route is presented, with explicit representation of traffic lights. Priority at intersections is assumed to be given only by green extension
actuated by local sensors, with upstream stop location, while the vehicle holding strategies are based also on the availability of real time information at stops, by means of a prevision for the future arrivals. The results are evaluated and compared using suitably defined performance indicators. In a parallel study, some relations between transit assignment and operation models and between transit operation and dwell time models are highlighted by identifying some features of the transit headway distributions
and comparing the results obtained, in carrying out a sensitivity analysis of the operation model, if different dwell time models are utilized
