Modeling energy consumption in automated vacuum waste collection systems

Environmental Modelling and Software

Volumn 56, Issue , 2014, Pages 63-73

  Fernández, Cèsar ^a   Manyà, Felip ^b   Mateu, Carles ^a   Sole Mauri, Francina ^c  

^a UNIVERSITY OF LLEIDA   (Spain)

^b ARTIFICIAL INTELLIGENCE RESEARCH INSTITUTE IIIA CSIC   (Spain)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Artificial intelligence; Computational sustainability; Constraint integer programming (CIP); Smart city; Sustainability; Waste collection

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER PROGRAMMING; CONSTRAINT THEORY; DROPS; ENERGY UTILIZATION; GAS EMISSIONS; GREENHOUSE GASES; SMART CITY; SUSTAINABLE DEVELOPMENT; URBAN PLANNING; WASTE TREATMENT;

COMPUTATIONAL SUSTAINABILITY; CONSTRAINT INTEGER PROGRAMMING (CIP); CONSTRAINT PROGRAMMING TECHNOLOGY; CONVENTIONAL METHODS; DIGITAL TECHNOLOGIES; INFORMATION AND COMMUNICATIONS TECHNOLOGY; REDUCING ENERGY CONSUMPTION; WASTE COLLECTION;

INTEGER PROGRAMMING;

ARTIFICIAL INTELLIGENCE; AUTOMATION; EMISSION CONTROL; ENERGY USE; ENVIRONMENTAL ECONOMICS; GREENHOUSE GAS; SUSTAINABLE DEVELOPMENT; UNDERGROUND CONSTRUCTION; URBAN AREA; URBAN PLANNING; WASTE TREATMENT;

EID: 84901484357     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.11.013     Document Type: Article

References (38)

1. Achterberg T. Scip: solving constraint integer programs. Math. Program. Comput. 2009, 1(1):1-41.
2. Achterberg T., Berthold T., Koch T., Wolter K. Constraint integer programming: a new approach to integrate CP and MIP. 5th International Conference on Integration of AI and OR Techniques in Constraint Programming, CPAIOR 2008, Paris, France, LNCS 2008, vol. 5015:6-20.
3. Ahcterberg T. Constraint Integer Programming 2007, Ph.D. thesis, Mathematik und Naturwissenschaften der Technischen Universität Berlin.
4. Ak E., Khan A. APilot study for the optimization of routes for waste collection vehicles for the Göçmenköy District of Lefkoúa. Eng. Technol. 2009, 1055-1058.
5. Angelelli E., Speranza M. The application of a vehicle routing model to a waste collection problem: two case studies. Lecture Notes in Economics and Mathematical Systems 2002, vol. 519:269-286. Springer, Berlin Heidelberg. A. Klose, M. Speranza, L. Wassenhove (Eds.).
6. Angelelli E., Speranza M.G. The periodic vehicle routing problem with intermediate facilities. Eur. J. Oper. Res. 2002, 137(2):233-247. URL:. http://ideas.repec.org/a/eee/ejores/v137y2002i2p233-247.html.
7. Batty M., Axhausen K., Giannotti F., Pozdnoukhov A., Bazzani A., Wachowicz M., Ouzounis G., Portugali Y. Smart cities of the future. Eur. Phys. J. Special Topics 2012, 214(1):481-518. URL:. http://dx.doi.org/10.1140/epjst/e2012-01703-3.
8. Bautista J. Solving an urban waste collection problem using ants heuristics. Comput. Oper. Res. Sep. 2008, 35(9):3020-3033. URL:. http://linkinghub.elsevier.com/retrieve/pii/S0305054807000196.
9. Béjar R., Fernández C., Manyà F., Mateu C., Solé-Mauri F. Optimizing energy consumption in automated vacuum waste collection systems. Proceedings of ICTAI 2012 2012, IEEE Press.
10. Béjar R., Fernández C., Mateu C., Manyà F., Solé-Mauri F., Vidal D. The automated vacuum waste collection optimization problem. Proceedings of AAAI 2012 2012, 264-266. AAAI Press/The MIT Press.
11. Benjamin A.M., Beasley J.E. Metaheuristics for the waste collection vehicle routing problem with time windows, driver rest period and multiple disposal facilities. Comput. Oper. Res. Apr. 2010, 37(12):2270-2280. URL:. http://linkinghub.elsevier.com/retrieve/pii/S0305054810000730.
12. Berline Z.I. SCIP, solving constraint integer programs http://scip.zib.de.
13. Berthold T., Heinz S., Lübbecke M.E., Möhring R.H., Schulz J. Aconstraint integer programming approach for resource-constrained project scheduling. 7th International Conference on Integration of AI and OR Techniques in Constraint Programming, CPAIOR 2010, Bologna, Italy, LNCS 2010, vol. 6140:51-55.
14. Eisenstein D.D., Iyer A.V. Garbage collection in chicago: a dynamic scheduling model. Manage. Sci. 1997, 43(7):922-933. URL:. http://mansci.journal.informs.org/content/43/7/922.abstract.
15. Eurostat, European Commission Waste statistics http://epp.eurostat.ec.europa.eu/statistics_explained/index.php/Waste_statistics.
16. Gaube V., Remesch A. Impact of Urban Planning on Household's Residential Decisions: An Agent-based Simulation Model for Vienna. Environ. Model. Softw. 2013, 45:92-103. URL:. http://www.sciencedirect.com/science/article/pii/S1364815212002836.
17. Guariso G., Michetti F., Porta F., Moore S. Modelling the upgrade of an urban waste disposal system. Environ. Model. Softw. Nov. 2009, 24(11):1314-1322. URL:. http://dx.doi.org/10.1016/j.envsoft.2009.04.008.
18. Hancke G.P., Silva B.D.C.E., Hancke G.P. The role of advanced sensing in smart cities. Sensors 2012, 13(1):393-425. URL:. http://www.mdpi.com/1424-8220/13/1/393.
19. Hilty L.M., Arnfalk P., Erdmann L., Goodman J., Lehmann M., Wäger P.A. The relevance of information and communication technologies for environmental sustainability - a prospective simulation study. Environ. Model. Softw. 2006, 21(11):1618-1629.
20. Kim B., Kim S., Sahoo S. Waste collection vehicle routing problem with time windows. Comput. Oper. Res. Dec. 2006, 33(12):3624-3642. URL:. http://linkinghub.elsevier.com/retrieve/pii/S0305054805001322.
21. Larsen A., Vrgoc M., Christensen T., Lieberknecht P. Diesel consumption in waste collection and transport and its environmental significance. Waste Manage. Res. 2009, 27(7):652-659.
22. Lazaroiu G.C., Roscia M. Definition methodology for the smart cities model. Energy 2012, 47(1):326-332. URL:. http://www.sciencedirect.com/science/article/pii/S0360544212007062.
23. Lopes T.M.T., Ciré A.A., de Souza C.C., Moura A.V. Ahybrid model for a multiproduct pipeline planning and scheduling problem. Constraints 2010, 15(2):151-189.
24. Moura A.V., de Souza C.C., Ciré A.A., Lopes T.M.T. Planning and scheduling the operation of a very large oil pipeline network. Principles and Practice of Constraint Programming, 14th International Conference, (CP 2008) 2008, 36-51.
25. Nijkamp P., Kourtit K. The 'New Urban Europe': global challenges and local responses in the urban century. Eur. Plan. Stud. 2013, 21(3):291-315. URL:. http://www.tandfonline.com/doi/abs/10.1080/09654313.2012.716243.
26. O'Grady M., O'Hare G. How smart is your city?. Science 2012, 335(6076):1581-1582. URL:. http://www.sciencemag.org/content/335/6076/1581.short.
27. O'Sullivan B. Opportunities and challenges for constraint programming. Proceedings of AAAI 2012 2012, 2148-2152. AAAI Press/The MIT Press, URL:. http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/view/5189.
28. Pfetsch M.E. Branch-and-cut for the maximum feasible subsystem problem. SIAM J. Optim. 2008, 19(1):21-38.
29. Poot A., Kant G., Wagelmans A. Asavings based method for real-life vehicle routing problems. Oper. Res. Soc. J. January 2002, 57-68. URL:. http://dx.doi.org/10.1057=palgrave=jors=2601252.
30. Potvin J.-Y., Rousseau J.-M. Aparallel route building algorithm for the vehicle routing and scheduling problem with time windows. Eur. J. Oper. Res. 1993, 66(3):331-340. URL:. http://www.sciencedirect.com/science/article/pii/0377221793902218.
31. Rochat Y., Taillard R.D. Probabilistic diversification and intensification in local search for vehicle routing. J.Heuristics 1995, 1:147-167.
32. Solomon M.M. Algorithms for the vehicle routing and scheduling problems with time window constraints. Oper. Res. 1987, 35:254-265.
33. Taillard E., Badeau P., Gendreau M., Guertin F., Potvin J.-Y. Atabu search heuristic for the vehicle routing problem with soft time windows. Transport. Sci. 1997, 31(2):170-186. URL:. http://transci.journal.informs.org/content/31/2/170.abstract.
34. Teixeira J., Antunes A.P., de Sousa J.P. Recyclable waste collection planning - a case study. Eur. J. Oper. Res. 2004, 158(3):543-554. URL:. http://www.sciencedirect.com/science/article/pii/S0377221703003795.
35. Tung D., Pinnoi A. Vehicle routing-scheduling for waste collection in Hanoi. Eur. J. Oper. Res. Sep. 2000, 125(3):449-468. URL:. http://linkinghub.elsevier.com/retrieve/pii/S0377221799004087.
36. van der Veen E., Veltman B. Rostering from staffing levels: a branch-and-price approach. 35th International Conference on Operational Research Applied to Health Services 2009, 1-10.
37. Worrell W.A., Vesilind P.A. Solid Waste Engineering 2012, 116-117. Cengage Learning. second ed.
38. Xiong Z., Sheng H., Rong WenGe, Cooper D.E. Intelligent transportation systems for smart cities: a progress review. Sci. China Inform. Sci. 2012, 55(12):2908.