Abstract
Increasing mobility directly affects traffic frequency and thus increases the possible risk of traffic accident occurrences. Taking this into account, it is necessary to create models for determining risk and to act preventively based on these models; this is of great importance both to society and science. In this paper, six measuring sections of a road network are considered on the basis of eight geometric-exploitation road parameters, taking into account the data for light goods vehicles. An original methodology is proposed for identifying risk levels of road sections through their evaluation. For identifying risk levels, the Dombi Logarithmic Methodology of Additive Weights (D’LMAW) was used, which was combined with the Measurement Alternatives and Ranking according to the Compromise Solution (MARCOS) method. Statistical indicators were processed using a hybrid methodology based on the application of rough numbers and Dombi–Bonferroni functions. The performance of the presented methodology was verified on a real-world example, processing the statistical parameters of six two-lane road sections, with the sixth measuring section showing the best performance, since it had the minimum risk. Research has shown that measuring sections with increasing longitudinal gradients are safer. The analysis of measuring sections from fall to rise reduces the deviation of speeds from the speed limit on the roads. The effectiveness, rationality, and robustness of the solution of the proposed methodology was confirmed through a sensitivity analysis.
Highlights
In a real traffic flow, there are a large number of influential road and traffic indicators of potential traffic risk
Potential road and traffic indicators often refer to the speed limit, which is imperative to limiting the speed of real traffic flow
The rough Dombi Logarithmic Methodology of Additive Weights (D’LMAW) was used to determine the weight coefficients of criteria, while the rough Measurement Alternatives and Ranking according to the Compromise Solution (MARCOS) method [5] was used to determine the level of risk and evaluate the alternatives
Summary
In a real traffic flow, there are a large number of influential road and traffic indicators of potential traffic risk. If two-lane roads are analyzed, the traffic indicators that are especially significant are the AADT (Annual Average Daily Traffic), uneven distribution of traffic by different directions, vehicle structure, traffic flow density, exploitation speed, exceeding the speed in relation to the speed limit, and so on. Studies have shown that the greater the difference between the free flow speed and the speed limit, the higher the percentage of drivers who do not comply with the speed limit for any class of vehicles [1,2]. By analyzing risk on two-lane roads, it is certain that, as a function of different road characteristics and the influence of traffic indicators, there is a large percentage of vehicles that exceed the speed limit. There are large dispersions of speeds on a case-by-case basis in a real traffic flow
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