Open AccessEstimation of Velocities in an Urban Segment through CTM model
Author(s) -
Rrecaj Arlinda,
Alimehaj Vlera,
Lokaj Drita
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.20544/tts2021.1.1.21.p18
Subject(s) - cell transmission model , outflow , traffic flow (computer networking) , microscopic traffic flow model , flow (mathematics) , function (biology) , probability density function , estimation , transmission (telecommunications) , computer science , key (lock) , statistical physics , mathematics , mechanics , meteorology , physics , statistics , traffic congestion , real time computing , engineering , traffic generation model , telecommunications , computer security , evolutionary biology , transport engineering , biology , systems engineering
-Because of its close relationship to density and flow, velocity play a key role in prediction of traffic parameters with the purpose of use in real-time traffic control. In this paper is proposed a procedure of estimation of velocities through a macroscopic model that originates from LWR (Lighthill-Whitham-Richards) model called Cell Transmission Model. Beside the possibility to update the densities of cells through time step, the CTM model enables the estimation of evolution of the velocities thanks to some known models that describe these relationships. A case study in an urban segment is treated in order to estimate velocities. Validation of these velocity values is done by comparing the inter cell flows from CTM (Cell Transmission Models) model and flows as function of updates velocities. Keywords –Cell, density, inter cell flow, outflow, velocity, model hypothesis