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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 8
A GIS-BASED TRANSPORTATION ROUTE OPTIMIZATION FOR SOLID
WASTE MANAGEMENT: STUDY ON WARD95 KANPUR
Mukesh Singh1, Dr. Anirudh Gupta2
1M.Tech. Student, Environmental Engineering, Institute of Engineering and Technology, Lucknow, Uttar
Pradesh, India
2Assistant Professor, Civil Engineering department, Institute of Engineering and Technology, Lucknow, Uttar
Pradesh, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - This study discusses the present solid waste
management practices in the Kanpur municipal region in
the Kanpur district of Uttar Pradesh state, India. The
exponential growth in population as well as the general
advancement of society and businesses are the main causes
of the city's rising generation of solid waste. One of the
essential components of solid waste management is routing,
and optimizing the collection route reduces travel time and
disposal expenses. In order to identify the most efficient
routes for municipal solid waste (MSW) collections in
Kanpur, India, this study integrated the network analyzer
tool's algorithms and built-in optimization techniques into
the Geographical Information System (GIS) platform.
According to our study, there was a 5.59 km decrease in the
chosen network.
Key Words: ArcGIS, OPTIMIZATION, SWM,
TRANSPORTATION, TRANSFER STATION
1. INTRODUCTION
Different methods are used to handle, store, collect, and
dispose of the wastes produced by the many human
sports. Therefore, if garbage is not managed appropriately,
waste management places a risk on the environment and
has a negative impact on public health. Kanpur's system of
reliable garbage management is no longer unique among
the vast majority of Indian cities. . Kanpur Nagar Nigam
(KNN) had the responsibility for collecting, transporting,
and casting off thestrong waste generated inside the town,
predicted at about a thousand tons in keeping with day in
Kanpur. As consistent with provisional reports of Census
India, the populace of Kanpur in 2011 is 27. Seventy-four
Lakhs, Kanpur town is administratively divided into 6
zones and one hundred ten wards. There are 203 lively
collection factors in several wards of six zones. Running on
Kanpur Nagar Nigam, region2 wards ninety-five and total
waste gathered is 80% dry waste and 20% wet waste.
2. Materials and Methods
2.1 Study Area
Kanpur is the 75th largest city in the world and also is the
center of commercial and industrial activities, sprawling
over an area of 605 km² in the state of Uttar Pradesh, India.
The municipal corporation of Kanpur covers an area of 302
km² and has the responsibility to manage 1000 tons of
generated waste per day. It ranges from latitude 26.4499°N,
and longitude 80.3319° E. As per provisional reports of
Census India, the population of Kanpur in 2011 is 27.74
Lakhs. area‐260 Sq. km. To study in this paper of Nagar
Nigam Kanpur, ward95 zone 2 to optimize transportation
routes (study area to transfer station). In zone2 collection
point which is followed by Nagar Nigam Kanpur, there is all
points used by GIS mapping which exist on the field. This
study gives information about solid waste collected by Nagar
Nigam Kanpur, for which the collection route is optimized
and the disposal of solid waste is managed in a better way.
Fig-1: Digitize road map in the ArcGIS imaginary
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 9
2.2 Arc G3IS
ArcGIS is a geographical information system (GIS)
software that allows handling and analyzing geographic
information by layer-building graphical statistics through
layer-building maps like climate data and modeling natural
system processes and functions. Using that Bend View Arc
GIS 10.4, the raster picture that appeared on the pc screen is
changed over into vector delineations.
2.3 Digitization
The numerous definite enhancement plan for Zone 2
ward 95 of Nagar Nigam Kanpur have been investigated.
Using Arc View via GIS, the filtered images are then
digitized. Digitizing: Refers to the process of converting-
referenced data to digital format (shape file).
2.4 Collection and Storage of waste
Kanpur Nagar Municipal ward 95 zone 2 generates roughly
400 kg of solid trash each day. Domestically generated MSW is
collected in the city by street sweeping with conventional short-
handled brooms and the Door to Door collection system. . Waste
by collecting TATA ACEE Hoppers of the city. Solid waste in
the municipal area is collected. Thesolid waste collection is
100% in the area. Presently sweeping, collection and
transportation activities are doneby sanitary workers in the
municipality. Further, a tractor isused for transporting the
collected waste to the dumping ground.
2.5 Transportation of waste
Transportation of solid waste includes lifting of closed
containers, lifting of dead animals, and lifting of silt from
nalla. The transportation of unattended waste in open plots
and unwept waste in slums is also done manually or
mechanically through a variety of vehicles. Approximately
two closed containers of waste are emptied into a bigger
tipper at the transfer station which is taken for final transfer
to a landfill site.
2.6 Processing of waste
Kanpur Municipal organization has a stable waste
management plant, for the processing of biomedical waste
and casting off the unsegregated, strong Waste on the
dumping floor. Further, the fabric is transferred to the
segregation phase where waste is isolated in various forms
which include wet, dry, recyclable, and inert wastes. The
waste processing and disposal plant is positioned. Most waste
being degradable is transferred to the window platform
wherein the Bio-culture helps in composting waste.
2.6.1 Composting
Due to a lack of area landfills, biodegradable backyard
waste is allowed to decompose in a medium designed for the
reason. The handiest biodegradable waste substances are
utilized in composting. Its miles a biological process in which
microorganisms, specifically fungi, and bacteria convert
degradable natural waste into substances like humans. This
finished product, which seems like soil is excessive in carbon
and nitrogen. Precise fine environmentally friendly manure is
fashioned from compost which is a first-rate medium for
developing vegetation and can be used for agricultural
purposes.
2.6.2 Incineration
In this method, stable wastes are burned at high
temperatures until they are reduced to ashes. Incinerators
are constructed in such a way that when burning solid
waste, they do not produce excessive heat. Waste-to-energy
plants are incinerators that reuse thermal energy through
furnaces and boilers. Because they need specialized
equipment and controls, highly qualified technical staff, and
auxiliary fuel facilities, waste-to-energy systems are more
expensive to install and operate than simple incinerators.
This technique of strong waste management can be finished
by people, municipalities and even institutions. The coolest
element about this approach is the reality that it reduces the
extent of waste up to twenty or thirty of the authentic
quantity.
2.6.3 Recycling
Recycling or restoration of sources is the method of
taking beneficial however discarded items for subsequent
use. Plastic baggage, tins, glass, and boxes are frequently
recycled automatically considering, in lots of situations,
they're likely to be scarce commodities. Historically, these
items are processed and cleaned before they may be recycled.
The process targets at reducing power loss, consumption of
the latest material, and reduction of landfills. The maximum
advanced international locations follow a robust way of life of
recycling to decrease volumes of waste.
3.Sources and quantity of municipal solid waste
One such large city in North India is Kanpur, which
generates about a thousand tonnes of hazardous trash
daily. The kitchen, food scraps, spoiled organic goods, fruits,
plants, seed stockpiles, and other items make up the herbal
department. Paper, glass, metal, and plastics make up less
than 15% of total garbage. . They determine the present
kingdom of municipal stable waste management (MSWM)
in Kanpur metropolis with the aim of identifying the
principle barriers to its efficiency andthe potentialities for
improvisation of the strong wastecontrol device within the
city. The existing strong waste management device within
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 10
the city is observed to be distinctly inefficient. Primary and
Secondary series, transportation, and open dumping are
the most effective activities practiced that too in a non-
technical manner.
3.1 Primary collection of solid waste
The primary collection of segregated MSW from
individual households and establishments (door-to-door
collection) is accomplished through the use of containerized
pushcarts, tricycles or small mechanized vehicles,
compactors, or tipping vehicles depending on the terrain of the
locality, width of streets, and building density.
Fig -2: Twin Bin Vehicle
3.2 Secondary collection of solid waste
The secondary collection includes selecting up waste
from community boxes, waste garage depots, or switch
stations and transporting it to waste processing sites or tothe
very last disposal site. On the secondary series factors,
segregated waste needs to be saved on-website online in
separate blanketed containers for similar collection and hasto
be kept separate in the course of all steps of waste series,
transportation,andprocessing.ULBsneedtoensurethatonthe
secondary garage factors the waste is ought to be attended
to each day or before the field starts overflowing.
The GIS provided detailed information on road network
connectivity among different study points. After applying
QGIS ‘network analyst tool,’ and giving the starting nodes, i.e.,
various wards one by one, and the destination node, i.e., the
etransfer station, the algorithm identified the shortest path
and provided the same on a GIS map, along with route
distance, for each of the desired links. The optimized routes
generated from this approach were compared with the
current routes that measured the distance between the
individual ward to the disposal site at the Transfer station.
The QGIS network analyst tool was applied by making the
ward number 95 as a starting point of vehicle1 (S1) to the
transfer station as a destination as shown in Fig.4. The
shortest route was found as 11.63 km (optimized distance),
compared to 13.09 km (existing route distance), and vehicle2
(S2) as shown in Fig.5. The shortest route was found as
10.45km compared to 12.05km, and vehicle3 (S3)as shown in
Fig.6. The shortest route was found as 10.75km, compared to
11.65km, and for the vehicle4 (S4) as shown in Fig.7. The
shortest route was found 10.23km, compared to 11.29km,
and for the vehicle5 (S5) as shown in Fig.8. The shortest
route was found as 9.22km, compared to 9.79km (exiting
route distance), that is practiced by municipal vehicles for
transportation purpose. The ArcGIS-optimized route showed
that.
Fig -3: Skip Truck (Dumper placer machines)
4. RESULTS AND DISCUSSION
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 11
Vehicle1: Vehicle Route4:
Fastest route 13.09 Km Shortest route11.63Km
Fig-4: Optimized solid waste collection vehicle (S1) route.
Vehicle Route2:
Fastest route 12.05Km Shortest route 10.45Km
Fig-5: Optimized solid waste collection vehicle (S2) route.
Vehicle Route3:
Fastest route 11.65Km Shortest route 10.75Km
Fig-6: Optimized solid waste collection vehicle (S3) route.
Fastest route 11.29Km Shortest route 10.23Km
Fig-7: Optimized solid waste collection vehicle (S4) route.
Vehicle Route5:
Fastest route 9.79Km Shortest route 9.22Km
Fig-8: Optimized solid waste collection vehicle (S5) route.
Table-1: Results from the approach by comparing current
distance v/s optimized distance (Km).
Vehicles
points
Destination
points
Practicing
distance(km)
Optimized
distance(km)
Saving
distance(km)
S1 TS 13.09 11.63 1.64
S2 TS 12.05 10.45 1.6
S3 TS 11.65 10.75 0.9
S4 TS 11.29 10.23 1.06
S5 TS 9.79 9.22 0.57
Total 57.87 52.28 5.59
5. CONCLUSIONS
From the above data these are results with the help of
ArcGIS10.4 and QGIS 3.24 route optimization. And it gives the
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 12
optimized route with distance covered, (study area to
transfer station) which used in a collection of solid waste
of Zone2, Nagar Nigam Kanpur. Five vehicles are working
to collect the waste from the ward, it is optimized by two
routes the shortest and fastest route. The network analyst
tool in the GIS was utilized in modeling the optimal routes
forMSW collection at Kanpur. This study finds the reductions
in haul distance as 5.59Km for locations. And the distance
between the nodes, the location of collection points, andthe
location of transfer sites were provided as input
parameters in the modeling system. The future scope of
this study may include savings in hauling time taken for
both the current and shortest paths by considering traffic
conditions. The approach in this study can be used as a tool
for MSW management meant for the entire city in the study
area, and the researchers can investigate the management
scenario of MSW in other similar cities in developing
countries.
REFERENCES
[1] Karadimas, N. V., & Loumos, V. G. (2008). GIS-based
modelling for the estimation of municipal solid waste
generation and collection. Waste Management &
Research, 26(4), 337-346.
[2] Chalkias, C., & Lasaridi, K. (2009). A GIS based model
for the optimisation of municipal solid waste
collection: the case study of Nikea, Athens,
Greece. technology, 1, 11-15.
[3] Khan, D., & Samadder, S. R. (2016). Allocation of solid
waste collection bins and route optimisation using
geographical information system: A case study of
Dhanbad City, India. Waste Management &
Research, 34(7), 666-676.
[4] Ansyar, M. H. (2020, October). Effectiveness of
integrated waste management based on community
empowerment: a cast study of Mamuju city. In IOP
Conference Series: Earth and Environmental
Science (Vol. 575, No. 1, p. 012172). IOP Publishing.
[5] Koushki, P. A., Al-Duaij, U., & Al-Ghimlas, W. (2004).
Collection and transportation cost of household solid
waste in Kuwait. Waste management, 24(9), 957-964.
[6] Rızvanoğlu, O., Kaya, S., Ulukavak, M., & Yeşilnacar, M.
İ. (2020). Optimization of municipal solid waste
collection and transportation routes, through linear
programming and geographic information system: a
case study from Şanlıurfa, Turkey. Environmental
Monitoring and Assessment, 192(1), 1-12.
[7] Singh, S., & Behera, S. N. (2019). Development of GIS-
based optimization method for selection of
transportation routes in municipal solid waste
management. In Advances in Waste Management (pp.
319-331). Springer, Singapore.
[8] Das, S., & Bhattacharyya, B. K. (2015). Optimization of
municipal solid waste collection and transportation
routes. Waste Management, 43, 9-18.
BIOGRAPHIES
Mukesh Singh is a student of Master of
Technology, Environmental Engineering,
Dept. of Civil Engineering, Institute of
Engineering and Technology,
Lucknow, Uttar Pradesh.
Dr. Anirudh Gupta is working as Assistant
Professor, Dept., of Civil Engineering in
Institute ofEngineering and Technology,
Lucknow, Uttar Pradesh.

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A GIS-BASED TRANSPORTATION ROUTE OPTIMIZATION FOR SOLID WASTE MANAGEMENT: STUDY ON WARD95 KANPUR

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 8 A GIS-BASED TRANSPORTATION ROUTE OPTIMIZATION FOR SOLID WASTE MANAGEMENT: STUDY ON WARD95 KANPUR Mukesh Singh1, Dr. Anirudh Gupta2 1M.Tech. Student, Environmental Engineering, Institute of Engineering and Technology, Lucknow, Uttar Pradesh, India 2Assistant Professor, Civil Engineering department, Institute of Engineering and Technology, Lucknow, Uttar Pradesh, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - This study discusses the present solid waste management practices in the Kanpur municipal region in the Kanpur district of Uttar Pradesh state, India. The exponential growth in population as well as the general advancement of society and businesses are the main causes of the city's rising generation of solid waste. One of the essential components of solid waste management is routing, and optimizing the collection route reduces travel time and disposal expenses. In order to identify the most efficient routes for municipal solid waste (MSW) collections in Kanpur, India, this study integrated the network analyzer tool's algorithms and built-in optimization techniques into the Geographical Information System (GIS) platform. According to our study, there was a 5.59 km decrease in the chosen network. Key Words: ArcGIS, OPTIMIZATION, SWM, TRANSPORTATION, TRANSFER STATION 1. INTRODUCTION Different methods are used to handle, store, collect, and dispose of the wastes produced by the many human sports. Therefore, if garbage is not managed appropriately, waste management places a risk on the environment and has a negative impact on public health. Kanpur's system of reliable garbage management is no longer unique among the vast majority of Indian cities. . Kanpur Nagar Nigam (KNN) had the responsibility for collecting, transporting, and casting off thestrong waste generated inside the town, predicted at about a thousand tons in keeping with day in Kanpur. As consistent with provisional reports of Census India, the populace of Kanpur in 2011 is 27. Seventy-four Lakhs, Kanpur town is administratively divided into 6 zones and one hundred ten wards. There are 203 lively collection factors in several wards of six zones. Running on Kanpur Nagar Nigam, region2 wards ninety-five and total waste gathered is 80% dry waste and 20% wet waste. 2. Materials and Methods 2.1 Study Area Kanpur is the 75th largest city in the world and also is the center of commercial and industrial activities, sprawling over an area of 605 km² in the state of Uttar Pradesh, India. The municipal corporation of Kanpur covers an area of 302 km² and has the responsibility to manage 1000 tons of generated waste per day. It ranges from latitude 26.4499°N, and longitude 80.3319° E. As per provisional reports of Census India, the population of Kanpur in 2011 is 27.74 Lakhs. area‐260 Sq. km. To study in this paper of Nagar Nigam Kanpur, ward95 zone 2 to optimize transportation routes (study area to transfer station). In zone2 collection point which is followed by Nagar Nigam Kanpur, there is all points used by GIS mapping which exist on the field. This study gives information about solid waste collected by Nagar Nigam Kanpur, for which the collection route is optimized and the disposal of solid waste is managed in a better way. Fig-1: Digitize road map in the ArcGIS imaginary
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 9 2.2 Arc G3IS ArcGIS is a geographical information system (GIS) software that allows handling and analyzing geographic information by layer-building graphical statistics through layer-building maps like climate data and modeling natural system processes and functions. Using that Bend View Arc GIS 10.4, the raster picture that appeared on the pc screen is changed over into vector delineations. 2.3 Digitization The numerous definite enhancement plan for Zone 2 ward 95 of Nagar Nigam Kanpur have been investigated. Using Arc View via GIS, the filtered images are then digitized. Digitizing: Refers to the process of converting- referenced data to digital format (shape file). 2.4 Collection and Storage of waste Kanpur Nagar Municipal ward 95 zone 2 generates roughly 400 kg of solid trash each day. Domestically generated MSW is collected in the city by street sweeping with conventional short- handled brooms and the Door to Door collection system. . Waste by collecting TATA ACEE Hoppers of the city. Solid waste in the municipal area is collected. Thesolid waste collection is 100% in the area. Presently sweeping, collection and transportation activities are doneby sanitary workers in the municipality. Further, a tractor isused for transporting the collected waste to the dumping ground. 2.5 Transportation of waste Transportation of solid waste includes lifting of closed containers, lifting of dead animals, and lifting of silt from nalla. The transportation of unattended waste in open plots and unwept waste in slums is also done manually or mechanically through a variety of vehicles. Approximately two closed containers of waste are emptied into a bigger tipper at the transfer station which is taken for final transfer to a landfill site. 2.6 Processing of waste Kanpur Municipal organization has a stable waste management plant, for the processing of biomedical waste and casting off the unsegregated, strong Waste on the dumping floor. Further, the fabric is transferred to the segregation phase where waste is isolated in various forms which include wet, dry, recyclable, and inert wastes. The waste processing and disposal plant is positioned. Most waste being degradable is transferred to the window platform wherein the Bio-culture helps in composting waste. 2.6.1 Composting Due to a lack of area landfills, biodegradable backyard waste is allowed to decompose in a medium designed for the reason. The handiest biodegradable waste substances are utilized in composting. Its miles a biological process in which microorganisms, specifically fungi, and bacteria convert degradable natural waste into substances like humans. This finished product, which seems like soil is excessive in carbon and nitrogen. Precise fine environmentally friendly manure is fashioned from compost which is a first-rate medium for developing vegetation and can be used for agricultural purposes. 2.6.2 Incineration In this method, stable wastes are burned at high temperatures until they are reduced to ashes. Incinerators are constructed in such a way that when burning solid waste, they do not produce excessive heat. Waste-to-energy plants are incinerators that reuse thermal energy through furnaces and boilers. Because they need specialized equipment and controls, highly qualified technical staff, and auxiliary fuel facilities, waste-to-energy systems are more expensive to install and operate than simple incinerators. This technique of strong waste management can be finished by people, municipalities and even institutions. The coolest element about this approach is the reality that it reduces the extent of waste up to twenty or thirty of the authentic quantity. 2.6.3 Recycling Recycling or restoration of sources is the method of taking beneficial however discarded items for subsequent use. Plastic baggage, tins, glass, and boxes are frequently recycled automatically considering, in lots of situations, they're likely to be scarce commodities. Historically, these items are processed and cleaned before they may be recycled. The process targets at reducing power loss, consumption of the latest material, and reduction of landfills. The maximum advanced international locations follow a robust way of life of recycling to decrease volumes of waste. 3.Sources and quantity of municipal solid waste One such large city in North India is Kanpur, which generates about a thousand tonnes of hazardous trash daily. The kitchen, food scraps, spoiled organic goods, fruits, plants, seed stockpiles, and other items make up the herbal department. Paper, glass, metal, and plastics make up less than 15% of total garbage. . They determine the present kingdom of municipal stable waste management (MSWM) in Kanpur metropolis with the aim of identifying the principle barriers to its efficiency andthe potentialities for improvisation of the strong wastecontrol device within the city. The existing strong waste management device within
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 10 the city is observed to be distinctly inefficient. Primary and Secondary series, transportation, and open dumping are the most effective activities practiced that too in a non- technical manner. 3.1 Primary collection of solid waste The primary collection of segregated MSW from individual households and establishments (door-to-door collection) is accomplished through the use of containerized pushcarts, tricycles or small mechanized vehicles, compactors, or tipping vehicles depending on the terrain of the locality, width of streets, and building density. Fig -2: Twin Bin Vehicle 3.2 Secondary collection of solid waste The secondary collection includes selecting up waste from community boxes, waste garage depots, or switch stations and transporting it to waste processing sites or tothe very last disposal site. On the secondary series factors, segregated waste needs to be saved on-website online in separate blanketed containers for similar collection and hasto be kept separate in the course of all steps of waste series, transportation,andprocessing.ULBsneedtoensurethatonthe secondary garage factors the waste is ought to be attended to each day or before the field starts overflowing. The GIS provided detailed information on road network connectivity among different study points. After applying QGIS ‘network analyst tool,’ and giving the starting nodes, i.e., various wards one by one, and the destination node, i.e., the etransfer station, the algorithm identified the shortest path and provided the same on a GIS map, along with route distance, for each of the desired links. The optimized routes generated from this approach were compared with the current routes that measured the distance between the individual ward to the disposal site at the Transfer station. The QGIS network analyst tool was applied by making the ward number 95 as a starting point of vehicle1 (S1) to the transfer station as a destination as shown in Fig.4. The shortest route was found as 11.63 km (optimized distance), compared to 13.09 km (existing route distance), and vehicle2 (S2) as shown in Fig.5. The shortest route was found as 10.45km compared to 12.05km, and vehicle3 (S3)as shown in Fig.6. The shortest route was found as 10.75km, compared to 11.65km, and for the vehicle4 (S4) as shown in Fig.7. The shortest route was found 10.23km, compared to 11.29km, and for the vehicle5 (S5) as shown in Fig.8. The shortest route was found as 9.22km, compared to 9.79km (exiting route distance), that is practiced by municipal vehicles for transportation purpose. The ArcGIS-optimized route showed that. Fig -3: Skip Truck (Dumper placer machines) 4. RESULTS AND DISCUSSION
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 11 Vehicle1: Vehicle Route4: Fastest route 13.09 Km Shortest route11.63Km Fig-4: Optimized solid waste collection vehicle (S1) route. Vehicle Route2: Fastest route 12.05Km Shortest route 10.45Km Fig-5: Optimized solid waste collection vehicle (S2) route. Vehicle Route3: Fastest route 11.65Km Shortest route 10.75Km Fig-6: Optimized solid waste collection vehicle (S3) route. Fastest route 11.29Km Shortest route 10.23Km Fig-7: Optimized solid waste collection vehicle (S4) route. Vehicle Route5: Fastest route 9.79Km Shortest route 9.22Km Fig-8: Optimized solid waste collection vehicle (S5) route. Table-1: Results from the approach by comparing current distance v/s optimized distance (Km). Vehicles points Destination points Practicing distance(km) Optimized distance(km) Saving distance(km) S1 TS 13.09 11.63 1.64 S2 TS 12.05 10.45 1.6 S3 TS 11.65 10.75 0.9 S4 TS 11.29 10.23 1.06 S5 TS 9.79 9.22 0.57 Total 57.87 52.28 5.59 5. CONCLUSIONS From the above data these are results with the help of ArcGIS10.4 and QGIS 3.24 route optimization. And it gives the
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 12 optimized route with distance covered, (study area to transfer station) which used in a collection of solid waste of Zone2, Nagar Nigam Kanpur. Five vehicles are working to collect the waste from the ward, it is optimized by two routes the shortest and fastest route. The network analyst tool in the GIS was utilized in modeling the optimal routes forMSW collection at Kanpur. This study finds the reductions in haul distance as 5.59Km for locations. And the distance between the nodes, the location of collection points, andthe location of transfer sites were provided as input parameters in the modeling system. The future scope of this study may include savings in hauling time taken for both the current and shortest paths by considering traffic conditions. The approach in this study can be used as a tool for MSW management meant for the entire city in the study area, and the researchers can investigate the management scenario of MSW in other similar cities in developing countries. REFERENCES [1] Karadimas, N. V., & Loumos, V. G. (2008). GIS-based modelling for the estimation of municipal solid waste generation and collection. Waste Management & Research, 26(4), 337-346. [2] Chalkias, C., & Lasaridi, K. (2009). A GIS based model for the optimisation of municipal solid waste collection: the case study of Nikea, Athens, Greece. technology, 1, 11-15. [3] Khan, D., & Samadder, S. R. (2016). Allocation of solid waste collection bins and route optimisation using geographical information system: A case study of Dhanbad City, India. Waste Management & Research, 34(7), 666-676. [4] Ansyar, M. H. (2020, October). Effectiveness of integrated waste management based on community empowerment: a cast study of Mamuju city. In IOP Conference Series: Earth and Environmental Science (Vol. 575, No. 1, p. 012172). IOP Publishing. [5] Koushki, P. A., Al-Duaij, U., & Al-Ghimlas, W. (2004). Collection and transportation cost of household solid waste in Kuwait. Waste management, 24(9), 957-964. [6] Rızvanoğlu, O., Kaya, S., Ulukavak, M., & Yeşilnacar, M. İ. (2020). Optimization of municipal solid waste collection and transportation routes, through linear programming and geographic information system: a case study from Şanlıurfa, Turkey. Environmental Monitoring and Assessment, 192(1), 1-12. [7] Singh, S., & Behera, S. N. (2019). Development of GIS- based optimization method for selection of transportation routes in municipal solid waste management. In Advances in Waste Management (pp. 319-331). Springer, Singapore. [8] Das, S., & Bhattacharyya, B. K. (2015). Optimization of municipal solid waste collection and transportation routes. Waste Management, 43, 9-18. BIOGRAPHIES Mukesh Singh is a student of Master of Technology, Environmental Engineering, Dept. of Civil Engineering, Institute of Engineering and Technology, Lucknow, Uttar Pradesh. Dr. Anirudh Gupta is working as Assistant Professor, Dept., of Civil Engineering in Institute ofEngineering and Technology, Lucknow, Uttar Pradesh.