<abstract xmlns="http://www.w3.org/1999/xhtml">As a result of the economic crisis of 2009-2010, the road traffic on the national road network, for the period 2011-2014, decreased considerably. Thus, the evolution coefficients, for the period 2020-2025, registered a trend of decrease in road traffic.Based on the analysis of the results of the automatic traffic records, it was found that the average daily average traffic increased by about 4.7% in 2016 compared to 2015 (the year of the last general circulation census) and is in continuous growth, one of the reasons being removal of car registration tax. In 2015, for the development of evolution coefficients and the rates of evolution of traffic on the national road network, the linear regression method was used which took into account both the evolution of road traffic reported in 1995, 2000, 2005 and 2010, as well as the evolution of road traffic on the traffic counters network for the period 2010-2015.The paper analyzes aspects of the efficiency of the method used until the present and the need to develop coefficients and rates of evolution based on more complex methods, based on several economic and social indicators, including the projected evolution of GDP.</abstract>

As a result of the economic crisis of 2009-2010, the road traffic on the national road network, for the period 2011-2014, decreased considerably. Thus, the evolution coefficients, for the period 2020-2025, registered a trend of decrease in road traffic.Based on the analysis of the results of the automatic traffic records, it was found that the average daily average traffic increased by about 4.7% in 2016 compared to 2015 (the year of the last general circulation census) and is in continuous growth, one of the reasons being removal of car registration tax. In 2015, for the development of evolution coefficients and the rates of evolution of traffic on the national road network, the linear regression method was used which took into account both the evolution of road traffic reported in 1995, 2000, 2005 and 2010, as well as the evolution of road traffic on the traffic counters network for the period 2010-2015.The paper analyzes aspects of the efficiency of the method used until the present and the need to develop coefficients and rates of evolution based on more complex methods, based on several economic and social indicators, including the projected evolution of GDP.

Possibilities to quantify the road traffic on the national road network and motorways in Romania

The Bucharest University of Economic Studies

Proceedings of the International Conference on Applied Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

As a result of the economic crisis of 2009-2010, the road traffic on the national road network, for the period 2011-2014, decreased considerably. Thus, the...

Possibilities to quantify the road traffic on the national road network and motorways in Romania

Online veröffentlicht: 13. Feb. 2020

Seitenbereich: 419 - 429

DOI: https://doi.org/10.2478/icas-2019-0036

Schlüsselwörter
interurban traffic detection systems, traffic counters, forecast of traffic evolution, coefficients of evolution of road traffic, traffic modeling

© 2019 Robert-Adrian Sandu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Possibilities to quantify the road traffic on the national road network and motorways in Romania

Online veröffentlicht: 13. Feb. 2020

Seitenbereich: 419 - 429

DOI: https://doi.org/10.2478/icas-2019-0036

Schlüsselwörterinterurban traffic detection systems, traffic counters, forecast of traffic evolution, coefficients of evolution of road traffic, traffic modeling

© 2019 Robert-Adrian Sandu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
interurban traffic detection systems, traffic counters, forecast of traffic evolution, coefficients of evolution of road traffic, traffic modeling