Macro-level road network evaluation by fuzzy signature rule bases

Abstract

In our fast-growing world, we need to create increasingly efficient systems to ensure further growth and sustainability. This also applies to transportation, where a key limitation is the bottle-necks of road network capacity. To eliminate, or at least, to moderate these bottlenecks, they must first be localised. In this case study, a model is proposed to objectively identify the weak points of the road infrastructure in the Western Hungarian region, a typical part of the Hungarian road net-work, based on automated data input. This way, there is no need to visually analyse the road net-work on site, but it is possible to evaluate the available information and suggest efficient measures from the distance. The model is suitable for general application, meaning it can serve other regions or countries as well, and enables macro-level decision-makers to take steps to eliminate those weak points. A fuzzy signature rule base is applied by the authors, which systematically maps and models the various attributes of the road network. The model currently contains more than 20 independent variables as inputs, but they can be easily expanded or replaced if further inputs need to be included.

A Regional Road Network Capacity Estimation Model for Mountainous Cities Based on Auxiliary Map

“…The auxiliary map method can only take one OD pair, and the network with multiple OD pairs generated by the cut-set method may have superposition [4][5][6][7][8][9][10]. In this paper, a dummy vertex is added on each side of the auxiliary map, the traffic subdivision is connected to two groups, each of which is connected to one of the dummy vertices, the regional road network containing multiple OD pairs is abstracted as a single origin and destination network, the origin and destination pair appears to be an OD pair in the network, and the road network capacity is further solved with the help of the cut-set method.…”

“…This paper proposes a regional road network capacity estimation model based on the auxiliary map method, which breaks through the problem that it is difficult to quantify the road network capacity in the existing studies and makes the regional road network capacity of mountain cities quantified. Since the existing cut-set method studies [4][5][6][7][8][9][10] cannot solve the minimum-cut problem under multiple OD pairs, this paper proposes an improved method so that there is no superposition problem under abstract road networks. However, the capacity of this region is limited by the capacity of the key sections in this region, so the selection of the key sections is very important.…”

“…Wei et al [9] conducted qualitative and quantitative research on the road network capacity of Beijing. Mikulai et al [10] proposed a model to objectively identify the weak points of the road infrastructure in the Western Hungarian region, a typical part of the Hungarian road network, based on automated data input.…”