ROUTE OPTIMIZATION TO INCREASE ENERGY EFFICIENCY AND REDUCE FUEL CONSUMPTION OF COMMUNAL VEHICLES

Abstract

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.

Keywords

Dates

  • Submission Date2010-05-25
  • Revision Date2010-06-25
  • Acceptance Date2010-08-30

DOI Reference

10.2298/TSCI100525067J

References

  1. Erdelez, A., Margeta, J., Knezić, S., Integrate Approach in Solid Waste Management, (in Croatian), Građevinar, 59 (2007), 6, pp. 505-516
  2. Kim, B., Kim, S., Sahoo, S., Waste Collection Vehicle Routing Problem with Time Windows, Computers & Operations Research, 33 (2006), 12, pp. 3624-3642
  3. Karadimas, N., Loumos, V., GIS-Based Modeling for the Estimation of Municipal Solid Waste Generation and Collection, Waste Management Research, 26 (2008), 4, pp. 337-346
  4. Lakshumi, A., Ramiya, A., Ssthya, R., Optimal Route Analysis for Solid Waste Disposal Using GIS, Proceedings, International Conference of Land Registration and Cadastre - MAP India, New Delhi, India, 2006
  5. Apaydin, O., Gonullu, M.T., Route Optimization for Solid Waste Collection: Trabzon (Turkey) Case Study, Global NEST Journal, 9 (2007), 1, pp. 6-11
  6. Karadimas, N., et al., Routing Optimization Heuristic Algorithms for Urban Solid Waste Transportation Management, WSEAS Transaction on Computers, 7 (2008), 12, pp. 2022-2031
  7. Tavares G., et al., Optimization of MSW Collection Routes for Minimum Fuel Consumption Using 3D GIS Modeling, Waste Management, 29 (2009), 3, pp. 1176-1185
  8. Carić, T., Improving of transport organization using heuristics methods, (in Croatian), Ph. D thesis, University of Zagreb, Croatia, 2006
  9. Jovičić, N., et al., Locale Environmental Information System, Proceedings, 2. National Conference of Life Quality, Kragujevac, Serbia, 2007
  10. Ntziachristos, L., Samaras, Z., COPERT III - Computer Program to Calculate Emissions from Road Transport, Methodology and Emission Factors (Ver. 2.1), European Environmental Agency, Copenhagen, Denmark, 2000
  11. Ericsson E., Larsson H., Brundell-Freij K., Optimizing Route Choice for Lowest Fuel Consumption - Potential Effects of a New Driver Support Tool, Transportation Research Part C, 14 (2006), 6, pp. 369-383
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