This document discusses route optimization techniques for collecting municipal solid waste in Katpadi, India. It presents the objectives, methodology, and results of optimizing waste collection routes. The methodology uses ArcGIS Network Analyst to calculate optimal routes based on collection points, depots, and vehicle details. The optimized routes reduced distance traveled by 24-27%, fuel costs by 24-27%, and collection time by 8.3-13.7% compared to existing routes. Route optimization can benefit other city services that make multiple stops, such as public transportation.

1. RS & GIS TECHNIQUES
ROUTE OPTIMIZATION FOR COLLECTION OF
MUNICIPAL SOLID WASTE
(Case Example: KATPADI)
1
ROUTE OPTIMIZATION
Bhavya S. Jaiswal
Btech civil, Mtech Transportation
Engineering

2. INTRODUCTION
What is Route Optimization ?
Basically, route optimization is a process of determining
most efficient route for a particular origin and destination.
But its not simple because it includes some factors…
1. Number of turns and intersection
2. Left hand turns
3. Traffic congestion
4. Best approach
ROUTE OPTIMIZATION 2
Prepared by: Bhavya S. Jaiswal

3. OBJECTIVES
The objectives of Route optimization…
• Cost
• Shortest
• Quickest
• Manpower
• Elimination
ROUTE OPTIMIZATION 3
Prepared by: Bhavya S. Jaiswal

4. ROUTE OPTIMIZATION 4
Prepared by: Bhavya S. Jaiswal

5. METHODLOGY
• Current waste generation and collection data, details of the vehicles’ such as
fuel consumption and capacities were required for the planning of routes
which were made available from the municipal corporation.
• There are several inputs to the ArcGIS Network Analyst VRP solver to
calculate optimal routes for solid waste collection such as collection points
(bins), renewal points (depots), parking locations (start & stop points) which
were obtained by field visits and from officials of the municipal corporation.
• A network dataset of Katpadi roads was obtained and updated.
• Coordinates of all point locations (existing bins, segregation yards) were
tabulated in excel and added to ArcGIS.
ROUTE OPTIMIZATION 5
Prepared by: Bhavya S. Jaiswal

6. MAJOR
COMPONENTS
OF THE
WORKFLOW
ROUTE OPTIMIZATION 6
Prepared by: Bhavya S. Jaiswal

7. RESULTS AND
DISCUSSION
• Figure shows relocated
bins to be Serviced
• Total Capacity: 57.5 MT
• Total Waste Collected: 46
MT (80 % utilization of
bin capacity)
ROUTE OPTIMIZATION 7
Prepared by: Bhavya S. Jaiswal

8. RESULTS AND DISCUSSION
Optimized Routes
Collection Route for Auto Collection Route for Dumper 1
ROUTE OPTIMIZATION 8
Prepared by: Bhavya S. Jaiswal

9. RESULTS AND DISCUSSION
Driving Directions for Dumper 1
ROUTE OPTIMIZATION 9
Prepared by: Bhavya S. Jaiswal

10. Analysis of optimized routes for existing bins
EXISTING BINS EXISTING SYSTEM
VEHICLE MILEAGE
DISTANCE
(KMS)
FUEL
(L)
TIME
(MIN)
COST
(INR)
DISTANCE
(KMS)
FUEL
(L)
TIME
(MIN)
COST
(INR)
DUMPER 1 8 142.15 17.77 673.60 1,087.45 98.90 12.36 455.64 756.59
DUMPER 2 8 136.91 17.11 717.70 1,047.36 78.91 9.86 375.71 603.66
TRACTOR 1 9 92.42 10.27 539.30 628.46 92.48 10.28 410.07 628.86
TRACTOR 2 9 90.81 10.09 458.28 617.51 125.27 13.92 501.19 851.84
TRACTOR 3 9 104.02 11.56 641.07 707.34 132.71 14.75 580.89 902.43
TRACTOR 4 9 69.46 7.72 382.86 472.33 141.00 15.67 594.06 958.80
MINI TIPPER 10 93.75 9.38 420.00 573.75 144.65 14.47 618.64 885.26
AUTO 20 10.22 0.51 75.87 31.27 27.10 1.36 118.51 82.93
TATA ACE 21 4.27 0.20 22.07 12.44 138.50 6.60 631.21 403.63
TOTAL 744.01 84.61 3930.75 5,177.90 979 99.25 4285.92 6073.99
Reduction 24.00% 14.75% 8.29%
Daily Savings 896.08
Yearly Cost 16,15,506.11 18,95,083.97
Yearly Savings 2,80,473.94
ROUTE OPTIMIZATION 10
Prepared by: Bhavya S. Jaiswal

11. Analysis of optimized routes for relocated bins
RELOCATED BINS EXISTING SYSTEM
VEHICLE
MILEAGE
(KMPL)
DISTANCE
(KMS)
FUEL
(L)
TIME
(MIN)
COST
(INR)
DISTANCE
(KMS)
FUEL
(L)
TIME
(MIN)
COST
(INR)
DUMPER 1 8 87.38 10.92 399.49 668.46 98.90 12.36 455.64 756.59
DUMPER 2 8 118.39 14.80 583.56 905.68 78.91 9.86 375.71 603.66
TRACTOR 1 9 99.58 11.06 533.46 677.14 92.48 10.28 410.07 628.86
TRACTOR 2 9 79.40 8.82 451.74 539.92 125.27 13.92 501.19 851.84
TRACTOR 3 9 78.35 8.71 487.70 532.78 132.71 14.75 580.89 902.43
TRACTOR 4 9 64.45 7.16 322.88 438.26 141.00 15.67 594.06 958.80
MINI TIPPER 10 85.32 8.53 391.29 522.16 144.65 14.47 618.64 885.26
AUTO 20 48.93 2.45 250.71 149.73 27.10 1.36 118.51 82.93
TATA ACE 21 49.80 2.37 279.24 145.13 138.50 6.60 631.21 403.63
TOTAL 711.6 74.82 3700.07 4,579.26 979 99.25 4285.92 6073.99
Reduction 27.31% 24.61% 13.67%
Daily Savings 1,494.73
Yearly Cost 14,28,729.16 18,95,083.97
Yearly Savings 4,67,849.53
ROUTE OPTIMIZATION 11
Prepared by: Bhavya S. Jaiswal

12. RESULTS AND DISCUSSION
• The optimized collection routes for existing bins returned a
distance reduction of 24% which translates to 24% reduction
in fuel costs. The total time for collection & transportation
was also reduced by 8.3%.
• The optimized collection routes for relocated bins returned
a distance reduction of 27% which translates to 27%
reduction in fuel costs. The total time for collection &
transportation was also reduced by 13.7%.
ROUTE OPTIMIZATION 12
Prepared by: Bhavya S. Jaiswal

13. RESULTS AND DISCUSSION
• Similar Methodology can be used for optimization of waste
collection routes in other cities/towns but would require
accurate data.
• Further, this project could be used as a guideline for
configuring route optimization for any services that travel
within the city to perform a pickup or delivery. This could be
school bus, public transportation routes, street sweeping,
scheduled utility asset management and maintenance, or
any other city service that has multiple stops along the
network.
ROUTE OPTIMIZATION 13
Prepared by: Bhavya S. Jaiswal

14. ROUTE OPTIMIZATION 14
Prepared by: Bhavya S. Jaiswal