International Journal of Electrical and Computer Engineering (IJECE) Vol. 11, No. 1, February 2021, pp. 518~527 ISSN: 2088-8708, DOI: 10.11591/ijece.v11i1.pp518-527  518 Journal homepage: http://ijece.iaescore.com A framework for IoT-enabled environment aware traffic management Mohamed Fazil Mohamed Firdhous 1 , B. H. Sudantha 2 , Naseer Ali Hussien 3 1,2 Department of Information Technology, University of Moratuwa, Sri Lanka 1,2 Center of Excellence in Intelligent Transpost Systems, University of Moratuwa, Sri Lanka 3 College of Education for Pure Sciences, Wasit University, Iraq Article Info ABSTRACT Article history: Received Feb 1, 2020 Revised Jul 7, 2020 Accepted Jul 25, 2020 Vehicular traffic has increased across all over the world especially in urban areas due to many reasons including the reduction in the cost of vehicles, degradation of the quality of public transport services and increased wealth of people. The traffic congestion created by these vehicles causes many problems. Increased environment pollution is one of the most serious negative effects of traffic congestion. Noxious gases and fine particles emitted by vehicles affect people in different ways depending on their age and present health conditions. Professionals and policy makers have devised schemes for better managing traffic in congested areas. These schemes suffer from many shortcomings including the inability to adapt to dynamic changes of traffic patterns. With the development of technology, new applications like Google maps help drivers to select less congested routes. But, the identification of the best route takes only the present traffic condition on different road segments presently. In this paper the authors propose a system that helps drivers select routes based on the present and expected environment pollution levels at critical points in a given area. Keywords: Congestion Google maps Health hazards Internet of things Pollution This is an open access article under the CC BY-SA license. Corresponding Author: Mohamed Fazil Mohamed Firdhous, Department of Information Technology, University of Moratuwa, Moratuwa 10400, Sri Lanka. Email: firdhous@uom.lk 1. INTRODUCTION During the last few years, rapid urbanization has become a common phenomenon all over the world [1]. This rapid urbanization has created many issues in these cities including population explosion, overuse of the existing infrastructure and resources, lack of jobs, increasing squatter settlements, inadequate services, poor health and educational facilities and high levels of pollution. One of the most serious issues that requires the immediate attention of all the stakeholder to transportation is the degradation of the environment near human inhabited areas especially where vulnerable group of people including young children and patients are commonly found. Traffic congestion has become one of the very serious problems world over especially in urban areas mainly due to the uncontrolled urbanization and inadequate planning [2]. Traffic congestion results in many problems including the lengthening of travel time, increased fuel consumption, waste of time and money, aggravating environmental pollution and sometimes resulting in accidents [3]. If this problem is not properly handled, it will not only increase the individual travel costs, but also result the collapse of the entire municipal transportation system restricting urban sustainable development. Thus, solving traffic congestion problem has become the hot issue for each and every city.