Traffic Routing Optimization using Ant Colony Optimization

Abstract

Traffic congestion is one of the main problems in traffic system and it occurs on most cities around the world. This project focuses on solving recurring congestion that occurs in area around Kuala Terengganu city. Traffic routing can be implemented to reduce traffic congestion by finding the best path for a vehicle. Ant Colony Optimization algorithm is applied to optimize traffic routing in this project. Ant Colony Optimization (ACO) takes inspiration from the foraging behavior of some ant species and these ants release pheromone on the ground in order to mark some favorable path that should be followed by other ants. Simulation of Urban Mobility (SUMO) is used for the simulation of traffic congestion and traffic routing. Traffic Control Interface (TraCI) gives the program that is written in Python to access the traffic while the simulation is running and it allows to retrieve values of road travel time and to re-route a vehicle based on the path that is found by ACO. The efficiency of ACO is compared with Dijkstra algorithm. It is found that average travel time for vehicle simulation in ACO perform 30% faster than Dijkstra.

Applied Study of the Fluidization Model of Logistics Transportation through the Prism of the Impact Generated on the Environment

“…Thus, in this article, aspects related to the routing analyzes of some freight transport vehicles will be highlighted in which the impact on the environment is treated. Starting from the aspect related to the analysis of problems for classical routing methods, heuristic algorithms but also standard algorithms such as the bee swarm, the ant colony algorithm, or parallel searches through heuristic methods [ 23 , 24 ]. The main goal tends to lead us towards finding an optimal way to cover a distance and smooth out the traffic, taking into account the transport costs, the social impact, and aspects regarding the clearance times or the rate of delays.…”

Estimation of Solar PV Models Parameters using WDO Algorithm

“…Solar PV modeling is usually performed using analogous diode models that explain the relationships between current-voltage (I-V) across a broad wide range of climatic conditions. Two different types of diode models are widely used to describe the I-V properties of solar PVs: (a) single diode model, (b) double diode model [2][3][4]. At the one side, the single diode model is very simple in simulation, and several researchers have tested its precision by analyzing and testing its five unidentified parameters.…”

“…Most of the equation values are not shown in the manufacturer datasheet. This method is still not considered to be precise [4]. The numeric extraction strategy is focused on the fitting of the curves.…”