International Journal of Environmental Sciences

Volume 6 Issue 6 2016- May 2016 Pages: 1006 - 1026 <<Previous    Next>>

Integration of on-board diagnostics with system dynamics to study road transport pollution

Author Information:

Gunaselvi Manohar1, Chandiran P2, Suryaprakasa Rao K3, Dilli Babu R4
1-Dept of EIE,Easwari Engineering College,Ramapuram,Chennai-89,TamilNadu,India
 2- Centre for Logistics and Supply Chain Management, Loyola Institiute of Business Administration, Chennai-34, TamilNadu,India.
3,4- Dept of Industrial Engineering,College of Engineering,Guindy Campus,Anna University, Chennai-32,TamilNadu,India.


Pollution caused by road transport is the major source affecting human health and adversely affects global warming. The main causes of transport pollution are the increase in the number of motor vehicles, inadequate public transport and inefficient transport management. Transport pollution is due to poor combustion of vehicular fuels, improper air/fuel mix ratio, harmful emissions of Hydrocarbon (HC), Carbon monoxide (CO) and Oxides of Nitrogen (NOX). In order to control the level of air pollutants, a number of policies have been activated in India. This paper proposes a system dynamics approach to evaluate and compare various scenarios of road transport system using On Board Diagnostic system integrated model in controlling CO level in air, including vehicle to population ratio variation, impact of law enforcement effectiveness, and conducting awareness campaign to use public transport. Based on the results, it was found that implementation of On-Board Diagnostics (OBD) in all private vehicles intervention interms of law enforcement effectiveness and reducing the number of  private vehicles by the implementation of transist incentive policy to adopt public transport proved to be efficient in reducing the CO level in air to a great extent.

Keywords: On-board diagnostics, carbon monoxide, system dynamics, vehicular pollution, transport policies.


© 2016 Copyright by the authors, licensee Integrated Publishing Association.This is an open access article distributed under the Creative Commons Attribution License (3.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The electronic version of the article can be downloaded below

Download full text pdf

SocialTwist Tell-a-Friend