Garbage Weight Estimation System
Sai Mullangi, Thulasidhar Reddy Kattamreddy, Shanthan Ramadugu, Wook-Sung Yoo
Abstract
Sai Mullangi, Thulasidhar Reddy Kattamreddy, Shanthan Ramadugu, Wook-Sung Yoo
Abstract
City of Huntington faces an issue of evenly distributed garbage collection among multiple fleets of trucks on different routes for fair amount of work for workers. This paper describes a method to estimate the weight of garbage picked by the trucks in each block of the city of Huntington based on a hypothesis of a correlation between the total number of stops and the total weight of garbage collected. A device was developed and mounted to the truck to collect data of truck movement. The data was analyzed to generate the number of stops the truck made and the results were compared with the weight of garbage collected throughout the route by a particular truck. Experimental results showed strong correlation between number of stops and garbage collected. Future enhancement is discussed.
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City of Huntington faces an issue of evenly distributed garbage collection among multiple fleets of trucks on different routes for fair amount of work for workers. This paper describes a method to estimate the weight of garbage picked by the trucks in each block of the city of Huntington based on a hypothesis of a correlation between the total number of stops and the total weight of garbage collected. A device was developed and mounted to the truck to collect data of truck movement. The data was analyzed to generate the number of stops the truck made and the results were compared with the weight of garbage collected throughout the route by a particular truck. Experimental results showed strong correlation between number of stops and garbage collected. Future enhancement is discussed.
Key concepts: Truck, Garbage, Garbage collection, Block (permutation group theory), Computer science, Database, Work (physics), Positive correlation