MULTI AGENT GATHERING WASTE SYSTEM

General information

Authors:
Álvaro LOZANO MURCIEGO, Gabriel VILLARRUBIA GONZÁLEZ, Alberto LÓPEZ BARRIUSO, Daniel HERNÁNDEZ DE LA IGLESIA, Jorge REVUELTA HERRERO

DOI:
10.14201/ADCAIJ201544922

Volume:
Regular Issue 4 (4), 2015

Keywords:

CVRP; Smart Cities; WSN; ESP8266; IoT; Route Optimization

Along this paper, we present a new multi agent-based system to gather waste on cities and villages. We have developed a low cost wireless sensor prototype to measure the volume level of the containers. Furthermore a route system is developed to optimize the routes of the trucks and a mobile application has been developed to help drivers in their working days. In order to evaluate and validate the proposed system a practical case study in a real city environment is modeled using open data available and with the purpose of identifying limitations of the system.

References

Ayuntamiento de Málaga. (n.d.). Contenedores para papel y cartón - Conjuntos de datos - Datos abiertos Ayto. Málaga. Retrieved February 8, 2016, from http://datosabiertos.malaga.eu/dataset/contenedores-para-papel-y-carton

Barbarosoglu, G., & Ozgur, D. (1999). A tabu search algorithm for the vehicle routing problem. Computers & Operations Research, 26(3), 255–270. http://doi.org/10.1016/S0305-0548(98)00047-1

Dargie, W. W., & Poellabauer, C. (2010). Fundamentals of Wireless Sensor Networks: Theory and Practice (Vol. 5). John Wiley & Sons. Retrieved from https://books.google.com/books?id=8c6k0EVr6rMC&pgis=1

Eksioglu, B., Vural, A. V., & Reisman, A. (2009). The vehicle routing problem: A taxonomic review. Computers & Industrial Engineering, 57(4), 1472–1483. http://doi.org/10.1016/j.cie.2009.05.009

ENEVO ®. (2016). Enevo – Optimising Waste Collection. Retrieved February 5, 2016, from https://www.enevo.com/

Fisher, M. L. (1994). Optimal Solution of Vehicle Routing Problems Using Minimum K-Trees. Operations Research, 42(4), 626–642. http://doi.org/10.1287/opre.42.4.626

Gambardella, L. M., Taillard, E., & Agazzi, G. (1999). MACS-VRPTW: A Multiple Ant Colony System for Vehicle Routing Problems with Time Windows. Retrieved from http://dl.acm.org/citation.cfm?id=870474

Glover, F. (1986). Future paths for integer programming and links to artificial intelligence. Computers & Operations Research, 13(5), 533–549. http://doi.org/10.1016/0305-0548(86)90048-1

Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning. Retrieved from http://dl.acm.org/citation.cfm?id=534133

GraphHopper. (2015). GraphHopper - OpenStreetMap Wiki. Retrieved February 8, 2016, from http://wiki.openstreetmap.org/wiki/GraphHopper

Gutierrez, J. M., Jensen, M., Henius, M., & Riaz, T. (2015). Smart Waste Collection System Based on Location Intelligence. Procedia Computer Science, 61, 120–127. http://doi.org/10.1016/j.procs.2015.09.170

Huang, M., & Hu, X. (2012). Large scale vehicle routing problem: An overview of algorithms and an intelligent procedure. International Journal of Innovative Computing, Information and Control, 8(8), 5809–5819.

Hunkeler, U., Truong, H. L., & Stanford-Clark, A. (2008). MQTT-S — A publish/subscribe protocol for Wireless Sensor Networks. In 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE ’08) (pp. 791–798). IEEE. http://doi.org/10.1109/COMSWA.2008.4554519

Internet of Things, Smart Spaces, and Next Generation Networks and Systems: 15th International Conference, NEW2AN 2015, and 8th Conference, ruSMART 2015, St.

Petersburg, Russia, August 26-28, 2015, Proceedings. (2015). Springer. Retrieved from https://books.google.com/books?id=XBNcCgAAQBAJ&pgis=1

Jens Lysgaard, A. N. L. R. W. E. (n.d.). A New Branch-and-Cut Algorithm for the Capacitated Vehicle Routing Problem. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.6581

Lysgaard, J., & Wøhlk, S. (2014). A branch-and-cut-and-price algorithm for the cumulative capacitated vehicle routing problem. European Journal of Operational Research, 236(3), 800–810. http://doi.org/10.1016/j.ejor.2013.08.032

Maher, M., & Puget, J.-F. (Eds.). (1998). Principles and Practice of Constraint Programming — CP98 (Vol. 1520). Berlin, Heidelberg: Springer Berlin Heidelberg. http://doi.org/10.1007/3-540-49481-2

Mehta, M. (2015). Esp 8266?: a Breakthrough in Wireless Sensor Networks and, 6(8), 7–11.

Mora, A. M., & Squillero, G. (Eds.). (2015). Applications of Evolutionary Computation (Vol. 9028). Cham: Springer International Publishing. http://doi.org/10.1007/978-3-319-16549-3

OptaPlanner - Constraint satisfaction solver (JavaTM, Open Source). (n.d.). Retrieved February 3, 2016, from http://www.optaplanner.org/

Optimization, N. N. and E. (n.d.). Vehicle Routing Problem | Vehicle Routing Problem. Retrieved February 5, 2016, from http://neo.lcc.uma.es/vrp/vehicle-routing-problem/

Rochat, Y., & Taillard, É. D. (1995). Probabilistic diversification and intensification in local search for vehicle routing. Journal of Heuristics, 1(1), 147–167. http://doi.org/10.1007/BF02430370

Schelter, S., & Owen, S. (2012). Collaborative Filtering with Apache Mahout Categories and Subject Descriptors. Recommender Systems Challenge at ACM RecSys, i.

Shaw, P. (1998). Using Constraint Programming and Local Search Methods to Solve Vehicle Routing Problems. Computer, 1520(Springer), 417–431. http://doi.org/10.1007/3-540-49481-2

Systems, E. (2015). ESP8266EX Datasheet, 1–31. Retrieved from https://www.adafruit.com/images/product-files/2471/0A-ESP8266__Datasheet...

Wellness Telecom. (2013). E-WAS. Retrieved February 5, 2016, from http://ec.europa.eu/environment/life/project/Projects/index.cfm?fuseacti...

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