Joseph, E.A and Olaiya, O.O (2018) Artificial Intelligence Application in Transportation System Control: An Effective Way To Minimize Global Warming Effect. In: 11th International Science, Technology, Arts, Education, Management & the Social Sciences Conference, June, 2018, Lagos, Nigeria.
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Abstract
Effect of global warming is a vast challenges facing human generation in the present world in many ways. The activities of man have seriously retarded the global world due to global warming and change in global climate activities. Transportation industry has been one of the major constituent of the hazards causing the effect of global warming to the Earth surface. This is attributed majorly to carbon dioxide emissions from fossil fuel combustion in the engine of locomotives, and secondly due to the type of controller system (majorly, the Proportional-Integral-Derivative (PID) controller) being used in transport engine system. This (PID) constitutes about an average of about 95% of controls in this industry due to its simple structure and reliability. However, when the process becomes too complex to be described by analytical models in the engine, due to its poor tuning ability, the PID becomes ineffective, causing a poor system performance, leading to high gaseous emission into the atmosphere and hence, global warming effect (an act causing gradual increase in earth’s temperature). This paper takes a look at the use of artificial intelligence Control system for effective global warming control in transportation system, since it can withstand any complexity in the system, via the ‘IF, THEN’ rules, leading to effective system performance and reduction in heat and carbon contents emission into the atmosphere.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Artificial Intelligence, Global warming, Transport industry |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Joy Oluwabukola Olayiwola |
| Date Deposited: | 18 Aug 2021 12:49 |
| Last Modified: | 18 Aug 2021 12:49 |
| URI: | http://eprints.federalpolyilaro.edu.ng/id/eprint/1773 |
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