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A Pheromone-based Artificial Intelligence Vehicular Transportation System

A Pheromone-based Artificial Intelligence Vehicular Transportation System

Latest PhD Thesis on A Pheromone-based Artificial Intelligence Vehicular Transportation System

Research Area:  Artificial Intelligence

Abstract:

   The main focus of this thesis serves to develop an Artificial Intelligence Vehicular Transportation System using the notion of pheromone to control traffic conditions. This system is proposed as Pheromone-based Green Transportation System (PGTS). Initially, traffic condition is modelled through the notion of pheromone and congestion is predicted via artificial intelligence solutions. After forecasting congestion, vehicles are probabilistically rerouted to green paths to reduce upstream congestion while traffic lights are coordinated to disseminate downstream traffic. Intuitively, PGTS reduces pollutant emissions significantly. Additionally, PGTS is robust under different non-recurrent events which promotes system practicality.

Name of the Researcher:  Soon Kian Lun

Name of the Supervisor(s):  Joanne

Year of Completion:  2020

University:  Monash University

Thesis Link:   Home Page Url