scholarly journals Route optimization to increase energy efficiency and reduce fuel consumption of communal vehicles

2010 ◽  
Vol 14 (suppl.) ◽  
pp. 67-78 ◽  
Author(s):  
Nebojsa Jovicic ◽  
Goran Boskovic ◽  
Goran Vujic ◽  
Gordana Jovicic ◽  
Milan Despotovic ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Solid Waste Management ◽  
Route Optimization ◽  
Waste Collection ◽  
Gps Technology ◽  
Increase Energy Efficiency ◽  
Shortest Distance ◽  
Available Information ◽  
Fuel Costs ◽  
The City

Collection and transportation within the system of solid waste management may account more than 60% of the overall budget, most of which is for fuel costs. Furthermore, municipal vehicles have great environmental impact through exhaust gases emissions. The aim of this research was to estimate the potential for reduction of fuel consumption and thus the emission of CO2 through the communal vehicles route optimization. General methodology for route optimization is also presented. For the area under study, detailed field experimental research in the City of Kragujevac was conducted. Using GIS and GPS technology, whole municipally infrastructure for waste collection was scanned and all paths of communal tracks was recorded and allocated in developed database. Based on experimental and numerical results, one typical municipal vehicle route was analyzed by using ArcGis software. The obtained result indicates 2700 km of possible savings per year concerning one communal vehicle. In addition, the most fuel-economical route was extracted and compared with the original route, and with the routes extracted from criterions concerning the traffic time and shortest distance. According to available information for the City of Kragujevac and the results from this study, it was estimated that the total savings could be 20% in costs and the associated emissions.

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.

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

Application of the UN-Habitat Integrated Sustainable Waste Management Methodology to Evaluate the Solid Waste Management System in the City of Kano, Nigeria

2018 ◽  
Vol 38 ◽  
pp. 115-123
Author(s):  
Habeeb Sirajo Muhammad ◽  
Ibrahim Umar Salihi
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Low Income ◽  
Performance Indicators ◽  
Material Flow ◽  
Solid Waste Management ◽  
Flow Diagram ◽  
Waste Collection ◽  
Msw Management ◽  
The City

This report provides a review of municipal solid waste (MSW) management in Kano, Nigeria. It employs a number of performance indicators, which include: waste collection, controlled disposal, materials recovery and financial sustainability. Other indicators are: user inclusivity, provider inclusivity and institutional coherence. A material flow diagram indicates a large amount of waste going to the informal recovery and reuse sector. Comparisons with world cities show that Kano performs below the low-income category in terms of solid waste management (SWM). The biodegradable portion of the waste constitutes 68%, 62.5% of the total waste being generated by the household sector at a rate of 0.56 kg capita -1 day-1. The SWM system is under budgeted and with the rapid increase in population, an effective and efficient SWM system would be required.

scholarly journals APPLYING AN INTEGRATED ROUTE OPTIMIZATION METHOD AS A SOLUTION TO THE PROBLEM OF WASTE COLLECTION

2016 ◽  
Vol XLII-4/W1 ◽  
pp. 103-110 ◽  
Author(s):  
A. H. Salleh ◽  
M. S. S. Ahamad ◽  
M. S. Yusoff
Keyword(s):  
Fuel Consumption ◽  
Solid Waste Management ◽  
Optimization Method ◽  
Route Optimization ◽  
Ongoing Research ◽  
Route Problem ◽  
Budget Control ◽  
The Common ◽  
Global And Local ◽  
Common Understanding

Solid waste management (SWM) is very subjective to budget control where the utmost expenses are devoted to the waste collection’s travel route. The common understanding of the travel route in SWM is that shorter route is cheaper. However, in reality it is not necessarily true as the SWM compactor truck is affected by various aspects which leads to higher fuel consumption. Thus, this ongoing research introduces a solution to the problem using multiple criteria route optimization process integrated with AHP/GIS as its main analysis tools. With the criteria obtained from the idea that leads to higher fuel consumption based on road factors, road networks and human factors. The weightage of criteria is obtained from the combination of AHP with the distance of multiple shortest routes obtained from GIS. A solution of most optimum routes is achievable and comparative analysis with the currently used route by the SWM compactor truck can be compared. It is expected that the decision model will be able to solve the global and local travel route problem in MSW.

Municipal Solid Waste Management in Russia: Practices and Challenges

2013 ◽  
Vol 864-867 ◽  
pp. 1989-1992
Author(s):  
Svetlana Sheina ◽  
Liya Babenko
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Integrated System ◽  
Municipal Solid Waste Management ◽  
Waste Collection ◽  
Transfer Stations ◽  
The City ◽  
Collection Sites

It is annually produced 400 thousand tons of solid waste in the city of Rostov-on-Don, which is taken for disposal to landfill at the Northwest industrial area of the city. Nearly 60 tons of waste enters Rostov Material Recovery Facility every year for the sorting, extracting commercially attractive factions, pressing, briquetting and subsequent transportation of residue tail to the landfill. However, the percentage of recycling in Rostov (10%) remains low, as a result of the shortcomings of the system. Recently, the Administration of Rostov-on-Don has produced a development strategy of integrated municipal solid waste management to create a new system of waste management in Rostov-on-Don. The strategy focuses mainly at Resource efficiency, which is a blend of good infrastructure, collection and design, with a dash of innovation and a strong policy framework to back it up. For the successful implementation of the strategy it is necessary to introduce an integrated system of municipal solid waste management using GIS. The methodology of integrated system with using GIS was developed by specialists of City Planning and Community Development Department of the Rostov State University of Civil Engineering. It includes implementation of collection and storage of waste and environmental data along with vehicles navigation system through ArcGIS ESRI software. It helps to facilitate collection operations, to analyze optimal locations for transfer stations, to plan routes for vehicles transporting waste from residential, commercial and industrial customers to transfer stations and from transfer stations to landfills, to calculate amount of waste collection sites in accordance with the population density and volume of bins, to locate new landfills and to monitor the landfill. GIS is a tool that also provides a digital data bank for optimization of waste collection sites allocation according with implementation of General City Plan. The territory of Rostov-on-Don has been chosen for case study. GIS allowed to make situational (operational) decisions for implementing the strategic approach to the municipal solid waste management plan of the city and supported innovative accompaniment of the process of development and implementation of priority national projects, targeted programs of ecological reconstruction and strategic plans of socio-economic development of municipalities.

scholarly journals Solid Waste Management: Challenges and Opportunities for the City of Sao Paulo

2015 ◽  
Vol 6 (3) ◽  
pp. 77 ◽  
Author(s):  
Margarida Farinha Reis ◽  
Diego Conti ◽  
Renata Martins Corrêa
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Sao Paulo ◽  
City Management ◽  
São Paulo ◽  
Waste Collection ◽  
Collection System ◽  
Challenges And Opportunities ◽  
The City

This paper is a study of the Selective Waste Collection System at the city of Sao Paulo, Brazil. Sao Paulo is the largest city in Latin America and one of the world´s largest, with a population of over 11 million people. However, although being an economic reference and having the largest industrial park and financial center of the country, selective waste collection and recycling reaches only 46% of households, that represent only about 2.6% of the waste collected in the city, and yet even this is very mixed with waste. Disposal of solid waste causes significant environmental impact, and its known that poor solid waste city management have major impact on health and on the local and global environment due to the physical pollution of soil, water and polluting emissions generated by the release of harmful gases; moreover there is an addition to the significant increased economic costs in handling such waste that were not treated properly from the beginning. The lack of Waste Management has a great impact regarding the pollution of soil and air factors, becoming one of the main causes of flooding due to lack of collection and inadequate disposal in soils and waters. This paper is a study of Solid Waste Management at the city of Sao Paulo, following regional and national objectives. By checking all the logistics of the process, it was possible to identify steps and actors that contribute to 2.6% of recycled materials in the city, of possible 35%. Finally five players of the system from different areas were interviewed that describe challenges and opportunities of the selective collection system that may end up bringing benefits to the city.

Effect of optimal routing on travel distance, travel time and fuel consumption of waste collection trucks

2019 ◽  
Vol 30 (4) ◽  
pp. 803-832 ◽  
Author(s):  
Alhassan Sulemana ◽  
Emmanuel Amponsah Donkor ◽  
Eric Kwabena Forkuo ◽  
Sampson Oduro-Kwarteng
Keyword(s):  
Travel Time ◽  
Fuel Consumption ◽  
Operating Cost ◽  
Travel Distance ◽  
Route Optimization ◽  
Waste Collection ◽  
Local Authorities ◽  
Content Type ◽  
Optimal Outcomes ◽  
Distance Travel

Purpose The purpose of this paper was to determine the effect of route optimization on travel distance, travel time and fuel consumption of municipal solid waste (MSW) collection trucks. Design/methodology/approach The study modeled the existing waste collection routes in three local authorities in Ghana and proposed optimal routes using Esri’s ArcGIS Network Analyst Extension. The system generated optimal distances and times were validated by subjecting collection trucks to the optimal routes. Paired sample t-test was used to analyze the differences in means of the existing and optimal outcomes. The collected data were subjected to correlation and uncertainty analyses. Findings Results from the study indicated that weekly travel distance reduced by 81.27 km, translating into saving of 4.79 percent when trucks used the optimal routes. Travel time and fuel consumption reduced by 853.59 min and 145.86 L, making savings of 14.21 and 10.81 percent, respectively. Significant differences occurred between the means of the existing and optimal routes for travel time and fuel consumption, for each of the three local authorities. Research limitations/implications The study was conducted in Ghana using data collected from three local authorities. Practical implications Significant reduction of MSW collection cost can be achieved by waste management practitioners through route optimization. Originality/value The effect of route optimization on travel distance, travel time and fuel consumption has been established. Statistical analyses of the existing and optimal outcomes of the three local authorities have been provided. The findings from this study support the hypothesis that optimal routes reduce operating cost through savings in travel distance, travel time and fuel consumption.

scholarly journals ANALISIS RUTE PENGANGKUTAN SAMPAH KOTA MANADO DENGAN PENDEKATAN VEHICLE ROUTING PROBLEM (VRP)

2019 ◽  
Vol 15 (1) ◽  
pp. 7-12
Author(s):  
Andre Ch. Lasut ◽  
Friska M. Makalew ◽  
Prudensy F. Opit
Keyword(s):  
Sensitivity Analysis ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Disposal Site ◽  
Waste Collection ◽  
Routing Problem ◽  
Final Disposal ◽  
Watershed Area ◽  
Shortest Distance ◽  
The City

Waste collection and transportation is a problem that currently being faced by cities in Indonesia, especially in the city of Manado. Manado is one of the major cities that produces 2,064 m of waste per day. In 2018, Manado was given a title as one of the dirtiest major cities in Indonesia by the Ministry of Environment and Forestry (KLHK) in the assessment of Adipura. This is due to the over capacity of the final disposal site (TPA) and the incapability of each TPA to implement the sanitary landfile system. The purpose of this research is to determine the efficiency of waste transportation in the city of Manado, especially in the watershed area (DAS). This research focuses on the transport points of the watershed area, namely: Bailang Bridge, Megawati Bridge, Kalimas, Tugu Lilin, Yellow Bridge, God Bless Park, Freshmart Bahu, Shoulder Bridge and Regional Police Complex. The model used to solve the problem in this research is the Vehicle Routing Problem (VRP). The result of the total minimum of vehicle mileage is 81.4 km. Sensitivity analysis by adding three scenarios is completed in order to analyze the shortest distance using different routes. Based on the final results, we found that scenario 2 generates the minimum vehicle mileage of 73.8 km.

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