
CALIBRATION AND VALIDATION OF A MACROSCOPIC TRAFFIC FLOW MODEL BASED ON PLATOON DISPERSION AND QUEUE PROPAGATION
Author(s) -
Facundo Storani,
Roberta Di Pace,
Stefano de Luca,
Silvio Memoli
Publication year - 2022
Publication title -
zeszyty naukowe - politechnika śląska. transport/scientific journal of silesian university of technology. series transport
Language(s) - English
Resource type - Journals
eISSN - 2450-1549
pISSN - 0209-3324
DOI - 10.20858/sjsutst.2022.114.13
Subject(s) - platoon , calibration , queue , cell transmission model , traffic flow (computer networking) , dispersion (optics) , flow (mathematics) , queueing theory , computer science , simulation , microscopic traffic flow model , real time computing , engineering , mechanics , mathematics , traffic generation model , statistics , physics , transport engineering , traffic congestion , computer network , artificial intelligence , control (management) , optics
This paper proposes a preliminary calibration and validation of a macroscopic traffic flow model for signalised junctions. In fact, on the network signal setting design problem, a reliable modelling approach must be adopted to acknowledge the traffic flow effects, considering two phenomena: queue dispersion and spillback. The proposed model is an extension of the space-time discrete Cell Transmission Model (CTM), which can simulate dispersion and horizontal queue. This preliminary calibration and validation use real-world data collected on an arterial of the city of Salerno (south of Italy). Results showed that the estimated parameters are consistent with the literature.