Abstract
Effective prediction of speed is central to advanced traveler information and transportation management systems. The speed of public transport vehicles is affected by many external factors including traffic volume, organization and infrastructure. The literature presents methods for estimating travel time on sections of a transport network and vehicle arrival at stops, often making use of the AVL (automatic vehicle location). The aim of the authors of this paper is to identify these factors, their impact and significance on the average speed of public transport vehicles in selected sections of the transport network. The paper presents the results of field studies involving the measurement of travel time of public transport vehicles in the main streets of the Tri-City Agglomeration (Gdansk, Sopot, Gdynia). The study was carried out within the framework of the project for the construction of the urban traffic control system TRISTAR. Based on the collected data the authors built a model of the relationship between the average speed of public transport vehicles and these external factors. The results will be used to calibrate the macroscopic transport model in the Tri-City Agglomeration.
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