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A Pheromone-based Artificial Intelligence Vehicular Transportation System

thesis
posted on 24.07.2020, 02:24 authored by SOON KIAN LUN
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.

History

Campus location

Malaysia

Principal supervisor

Joanne

Additional supervisor 1

Rajendran Parthiban

Year of Award

2020

Department, School or Centre

School of Engineering (Monash University Malaysia)

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering