Klasifikacija I Kategorizacija Državnih Puteva - Komparativna Analiza Regulative

Grujić, Žarko; Jokanović, Igor

doi:10.14415/zbornikgfs22.015

Cited by 1 publication

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“…The main road network in which the traffic volume is dominant is taken into consideration. Categorisation of the road network as well as the capacity on lanes per hour relies on literature [25]. In this regard, based on traffic volume expressed, such as AADT, this road network is composed by main, regional and local roads, as presented in Fig.…”

Section: Synthetic Model Developmentmentioning

confidence: 99%

Building and Calibration Transport Demand Model in Anamorava Region

2019

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The main objective of this research is to develop a model and to calibrate it in order to apply it to transport forecasting for Anamorava region. The synthetic model has been developed, and it is composed of a transport network model and a demand model, which is enabled using PTV Visum software as well as using the following variables as input: number of residents, number of people employed, working places available as well as the volume of vehicles entering and leaving certain locations surrounding the Anamorava region at "peak hour". Required coefficients are used for converting the traffic volumes from 12 hours to 24 hours expressed, such as AADT. As a criterion, for initial verification R 2 , RMSPE, Percentage Deviation and Regression parameters are used. Then, a calibration of the demand model is conducted using the TFlowFuzzy algorithm by employed GEH test, comparing it with the observed data of traffic volumes accomplished simultaneously at some locations inside and in the vicinity of this region for time intervals of 12 hours on two different days in one week in May 2016. In order to fulfil all the criterions, it has been found out that the final model may be used for transport demand forecasting in the future in this region.

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Section: Synthetic Model Developmentmentioning

confidence: 99%