Modeling of Transport Network Resilience in Gdynia for Disturbing Events

Abstract

Traffic accidents or mass events might cause large-scale traffic congestion. It might increase travel times of drivers and produces many social losses. The article will present a proposal of a mathematical model describing the impact of mass events and serious failures of transport infrastructure on the transport network of the city of Gdynia. The model was built using data, obtained from the TRISTAR system, collected during the failure on a street and the Opener event. They were used to estimate the parameters of the model. The use of real data to create a mathematical model that maps traffic situations will enable real reference to the real behaviour of drivers in the analysed area. The article describes the use of the model and presents the method of using a convex combination of two triangular distributions to describe two independent communication peaks. Due to the presence of two independent maxima of functions in the case of the morning and afternoon communication summits, it is not possible to describe this phenomenon with only one function. The critical intersection selected for the model has to meet the daily transport of people using passenger vehicles and is also tailored to the geometric dimension of the trucks. The biggest challenge is to adjust the traffic lights. The signaling is managed by the traffic control center in Gdynia with the implemented intelligent transport system - TRISTAR.