Evaluating the Effect of Traffic Assignment Method on the Accuracy of the Origin-Destination Matrix Correction Results in Traffic Fuzzy Flow Method
Correction old OD matrix is one of the Cheapest methods for provide the Origin-destination matrix for the base year, which are based on the observed values in selected links. In each of these methods, in order to obtain the share of each links from the demand between the ODs, the primary matrix (and in subsequent replicates, the modified matrix) is assigned to the network. By introduction of fuzzy concept, new methods for correcting the OD matrix have been refined, which called the fuzzy flow method (TFF). This method uses the matrix assignment as well as other methods in the matrix correction process. Considering the importance of the assignment method used in matrix correction, this paper deals with the effect of traffic assignment method in traffic fuzzy flow correction method. The results show that the use of the user equilibrium method is superior to the stochastic and incremental assignment, and the good fit coefficient in the user equilibrium method is equal to 0.82, while in the stochastic method, this R2 is 0.72 and in the incremental assignment has a value of 0. 67.
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A Prediction of Vehicles Entering The Traffic Cordons, Using Machine Learning (Case: Tehran City)
Mahmoudreza Nateghi, Sepideh Shami, Amirreza Mamdoohi *
Road journal, -
Scenario creation of Shared Autonomous Vehicles Penetration Rate, a Quantitative Environmental Analysis
A. R. Mamdoohi *, A. Rahmani
Sharif Journal Civil Engineering,