Real time bin status monitoring for solid waste collection route optimization

2014 ◽  
Author(s):  
M.A.A. Mamun ◽  
A. Hussain ◽  
M.A. Hannan ◽  
H. Basri
Keyword(s):  
Solid Waste ◽  
Real Time ◽  
Route Optimization ◽  
Waste Collection ◽  
Solid Waste Collection ◽  
Status Monitoring

scholarly journals OPTIMIZED ROUTING OF TRUCKS FOR INSTITUTIONAL SOLID WASTE COLLECTION IN KUMASI, GHANA

Detritus ◽  
2020 ◽  
pp. 50-58
Author(s):  
Alhassan Sulemana ◽  
Emmanuel Amponsah Donkor ◽  
Eric Kwabena Forkuo ◽  
Juliet Asantewaa ◽  
Isabella N. A. Ankrah ◽  
...  
Keyword(s):  
Solid Waste ◽  
Travel Time ◽  
Solid Waste Management ◽  
Operating Cost ◽  
Travel Distance ◽  
Route Optimization ◽  
Maintenance Cost ◽  
Waste Collection ◽  
Complete Collection ◽  
Solid Waste Collection

Solid waste collection constitutes 60-80% of the total solid waste management cost. Reduction of solid waste collection cost can be achieved through route optimization in a geographic information system (GIS) environment. The purpose of this study was to generate optimized routes for solid waste collection on Kwame Nkrumah University of Science and Technology campus in Kumasi, Ghana. The study modelled the existing routes for a complete collection cycle using travel time criteria and generated optimized routes for same using an ArcGIS software. Validation of the optimized outcome (travel distance and travel time) was done by subjecting the solid waste collection trucks to the optimized routes. The results from the study showed significant reduction in total travel time from 1,000.75 mins to 855.70 mins for existing and optimized routes respectively, translating into saving of 14.5%. Total travel distance significantly reduced from 367.30 km to 334.20 km for existing and optimized routes respectively, representing saving of 9.0%. Significant savings in travel time and travel distance have implications on reduction of fuel and maintenance cost of institutional solid waste collection trucks. The results indicate that the application of GIS-based route optimization in solid waste collection can provide significant improvement in reduction of operating cost.

Solid Waste Management and Transport Route Optimization Using Geographic Information System in Lagos Metropolis, Nigeria

2020 ◽  
Vol 15 (3) ◽  
pp. 96-101
Author(s):  
Oluwaseyi Joseph Afolabi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Waste Management ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Geographic Information ◽  
Route Optimization ◽  
Waste Collection ◽  
Rapid Urbanization ◽  
Solid Waste Collection

With an unprecedented population and rapid urbanization, the solid waste collection and transportation has become a major challenge in Lagos metropolis. The main objective of the study was to optimize routes for solid waste collection and disposal using Geographic Information System (GIS) in order to improve solid waste management system in Lagos metropolis. Data on the GIS Network Analyst was used to determine movements between the transfer loading stations and the landfills to determine the collection time, travel distances, optimized routes and alternative routes for solid waste disposal while maximising total solid waste collection and disposal for environmental sustainability. Based on the findings, the study therefore recommends possible interventions such as regular collection of solid waste, proper management of the transfer loading stations and landfills, and that the collection of solid waste should be given more attention because it is important in the development of cities. Keywords: Solid wastes, Transportation, Route Optimization, GIS, Lagos metropolis

scholarly journals Route optimization for solid waste collection: Trabzon (Turkey) case study

2013 ◽  
Vol 9 (1) ◽  
pp. 6-11
Keyword(s):  
Solid Waste ◽  
Solid Waste Management ◽  
Path Model ◽  
Route Optimization ◽  
Optimization Process ◽  
Municipal Solid Waste Management ◽  
Waste Collection ◽  
Solid Waste Collection ◽  
Waste Production ◽  
The City

In a municipal solid waste management system, decreasing collection/hauling costs, which consist of 85 % of total disposal expenditure, can be carried out by a route optimization. Thus, a huge amount of economical benefits is getting furnished. If route optimization is performed in solid waste collection/hauling process, due to reductions in “empty miles” negativity, total expenditures will be decreased. Trabzon City located in the northeast side of Turkey has about 185 thousand inhabitants according to Census 2000. The city shares just about 1% of the Gross Domestic Income in Turkey. In other words, that means that Trabzon City livings have moderate revenue. The objectives of this study are to optimize for the route of collection/hauling in Trabzon City by taking consideration of data about road net, demographics and solid waste production. In order to analyse the solid waste collection/hauling process in the city, the processes were recorded by a Sony DCR-TRV145E brand video camera. To use route optimization process, data related in present spending, truck type and capacity, solid waste production, number of inhabitants and Global Positioning System (GPS) receiver data for each route were collected and all the data were analyzed with each other. For 39 districts in the city, a shortest path model was used in order to optimize solid waste collection/hauling processes, as minimum cost was aimed. The Route View ProTM software as an optimization tool was used for that purpose. Geographic Information System (GIS) elements such as numerical pathways, demographic distribution, container distribution and solid waste production amount were integrated to the software. To give an idea, thematic container layer has 777 container location points for the entire city. After performing routes by the software, the optimized routes were compared with the present routes. Success by the optimization process was around 4-59 % for distance and 14-65 % for time. Consequently, a route optimization process on the street stationary container collection system will contribute a benefit by 24 % in total cost.

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