IoT-Enabled Smart City Waste Management using Machine Learning Analytics

Taimur Bakhshi, Muhammad Ahmed

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i gynhadleddadolygiad gan gymheiriaid


Waste collection and management presents a major challenge for municipalities wanting to achieve cleaner urban environments. Smart city infrastructure incorporating the Internet of Things (IoT) paradigm offers substantial advantages in terms of real-time waste monitoring capability. Basic sensory monitoring by itself, however, falls short of achieving optimal waste management without comprehensive data analytics. To this end, the present work proposes an off-the-shelf IoT-based waste monitoring solution, combined with back-end data analytics for efficient waste collection. The work employs Raspberry Pi and ultrasonic sensors, mounted on waste-bins in a specific area of a cooperating municipality for waste capacity monitoring. Realtime bin status and machine learning analytics are used to identify present as well as predict future waste collection scheduling. Dynamic collection servicing routes are accordingly mapped for utilization by waste collection vehicles. During a tenday trial and validation period, it was observed that the proposed design increases fuel efficiency by up to 46% and a reduction in collection times by up to 18%. In addition to the noted quantitative improvements, the proposed scheme can also aid in optimizing long-term waste policies in smart city environments using the recorded statistics.
Iaith wreiddiolSaesneg
TeitlProceedings 2018 International Conference on Energy Conservation and Efficiency
Is-deitl16-17 October, 2018 Lahore, Pakistan
CyhoeddwrInstitute of Electrical and Electronics Engineers
Nifer y tudalennau6
ISBN (Electronig)978-1-5386-9425-1 , 978-1-5386-9424-4 , 978-1-5386-9426-8
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 1 Hyd 2018
Cyhoeddwyd yn allanolIe
Digwyddiad2018 International Conference on Energy Conservation : 'Energy Conservation - A Smart Choice' - Lahore, Pacistan
Hyd: 16 Hyd 201817 Hyd 2018

Cyfres gyhoeddiadau

Enw2018 2nd International Conference on Energy Conservation and Efficiency (ICECE)


Cynhadledd2018 International Conference on Energy Conservation
Teitl crynoICECE 2018

Ôl bys

Gweld gwybodaeth am bynciau ymchwil 'IoT-Enabled Smart City Waste Management using Machine Learning Analytics'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.

Dyfynnu hyn