Determining the Optimal Type of Non-Smooth Intersection Using Particle Mass Algorithm (PSO)

Abstract

Nowadays, with increasing number of vehicles, the intersections of the same level are in many problems. There are different ways to solve this problem, which is now converting the intersection of the intersection to the unequal intersection of the engineers' attention. But a model that takes into account different factors of the intersection is not in an optimal level. In this research, we have tried to provide a model for choosing the optimal type of intersecting intersection with consideration of effective factors. The intersections in this study are directional intersections, full cloying, semi-clover, single-point and rhombus simulated using the AIMSUN software. The parameters considered for each intersection are the amount of air pollutants produced, fuel consumption, and travel time. And the value of the above parameters is derived from the outputs of the AIMSUN software, then all of them are converted to cost. Subsequently, using the massive particle algorithm (PSO) in the following of the study was used, and this algorithm is used to calculate traffic volumes of 1000, 3500 and 6500 vehicles per an hour, respectively, in intersections of directional, rhomboid and single-pronged as an intersection, the optimal non-level is presented.

Keywords: Non- intersection crosses, Prioritization, Mass Particle Algorithm (PSO)

DOI: 10.7176/CER/11-6-03

Publication date:July 31^st 2019