A novel approach for traffic accidents sanitary resource allocation based on multi-objective genetic algorithms

Expert Systems with Applications

Volumn 40, Issue 1, 2013, Pages 323-336

  Fogue, Manuel ^a   Garrido, Piedad ^a   Martinez, Francisco J ^a   Cano, Juan Carlos ^b   Calafate, Carlos T ^b   Manzoni, Pietro ^b  

^a UNIVERSITY OF ZARAGOZA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Multi objective genetic algorithms; Resource allocation; Traffic accidents assistance

Indexed keywords

COMMUNICATION TECHNOLOGIES; IN-VEHICLE; MEMETIC; MULTI-OBJECTIVE GENETIC ALGORITHM; NEW PROTOCOL; NSGA-II ALGORITHM; OPTIMAL ALLOCATION; OPTIMAL SOLUTIONS; RESOURCE ALLOCATION POLICY; RESOURCE USAGE; RESOURCES ALLOCATION; VEHICULAR COMMUNICATIONS;

COMMUNICATION SYSTEMS; INTELLIGENT SYSTEMS; OPTIMIZATION; RESOURCE ALLOCATION; VEHICLE TO VEHICLE COMMUNICATIONS;

ACCIDENTS;

EID: 84866111324     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.07.056     Document Type: Article

References (38)

1. M. Affenzeller, S. Wagner, and S. Winkler Self-adaptive population size adjustment for genetic algorithms R. Moreno Dfaz, F. Pichler, A. Quesada Arencibia, Computer aided systems theory EUROCAST 2007 Lecture notes in computer science Vol. 4739 2007 Springer Berlin/Heidelberg 820 828
2. Amcoex, Inc., 2012. Cost of use of sanitary vehicles provided by Amcoex Ambulances, Spain. .
3. J.H. Bäck Evolutionary algorithms in theory and practice 1996 Springer Oxford
4. Corne, D. W., Jerram, N. R., Knowles, J. D., & Oates, M. J. (2001). PESA-II: region-based selection in evolutionary multiobjective optimization. In Proceedings of the genetic and evolutionary computation conference (GECCO-2001).
5. Corne, D. W., Knowles, J. D., & Oates, M. J. (2000). The Pareto envelope-based selection algorithm for multiobjective optimization. In Proceedings of the sixth international conference on parallel problem solving from nature (pp. 18-20).
6. R. Dawkins The selfish gene 1976 Oxford University Press UK
7. Deb, K., & Goel, T. (2001). A hybrid multi-objective evolutionary approach to engineering shape design. In Proceedings of the first international conference evolutionary multi-criterion optimization, EMO 2001.
8. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan A fast and elitist multiobjective genetic algorithm: NSGA-II IEEE Transactions on Evolutionary Computation 6 2 2002 182 197
9. Dirección General de Tráfico (DGT) (2010). The main statistics of road accidents. Spain. .
10. A. Eiben, and J. Smith Introduction to evolutionary computing 2003 Springer
11. T. Erfani, and S.V. Utyuzhnikov Directed search domain: A method for even generation of Pareto frontier in multiobjective optimization Journal of Engineering Optimization 12 2010 1 18
12. Eurostat: Statistical Office of the European Communities (2012). Transport statistics in the EU. .
13. L. Figueiredo, I. Jesus, J.A.T. Machado, J.R. Ferreira, and J.L. Martins Towards the development of intelligent transportation systems IEEE Intelligent Transportation Systems 25 81 2001 1206 1211
14. Fogue, M., Garrido, P., Martinez, F. J., Cano, J.-C., Calafate, C., & Manzoni, P. (2011). Prototyping an automatic notification scheme for traffic accidents in vehicular networks. In 4th IFIP wireless days conference (pp. 1-5).
15. M. Fogue, P. Garrido, F.J. Martinez, J.-C. Cano, C. Calafate, and P. Manzoni Automatic Accident Detection: Assistance Through Communication Technologies and Vehicles IEEE Vehicular Technology Magazine 7 3 2012 90 100
16. M. Fogue, P. Garrido, F.J. Martinez, J.-C. Cano, C.T. Calafate, and P. Manzoni Using data mining and vehicular networks to estimate the severity of traffic accidents J. Casillas, F.J. Martinez-Lopez, J.M. Corchado, Advances in intelligent systems and computing Management intelligent systems 171 2012 Springer Berlin, Heidelberg 37 46 10.1007/978-3-642-30864-2-4
17. Fonseca, C. M., & Fleming, P. J. (1993). Multiobjective genetic algorithms. In IEEE colloquium on genetic algorithms for control systems engineering.
18. D. Indraneel, and J.E. Dennis Normal-boundary intersection: A new method for generating the Pareto surface in nonlinear multicriteria optimization problems SIAM Journal on Optimization 8 3 1998 631 657
19. D.F. Jones, S.K. Mirrazavi, and M. Tamiz Multiobjective meta-heuristics: An overview of the current state-of-the-art European Journal of Operational Research 137 1 2002 1 9
20. Knowles, J. D., & Corne, D. W. (2000). M-PAES: A memetic algorithm for multiobjective optimization. In Proceedings of the 2000 congress on evolutionary computation.
21. Koljonen, J., & Alander, J. T. (2006). Effects of population size and relative elitism on optimization speed and reliability of genetic algorithms. In Proceedings of the ninth Scandinavian conference on artificial intelligence (SCAI 2006) (pp. 54-60).
22. F. Martinez, C.-K. Toh, J.-C. Cano, C. Calafate, and P. Manzoni Emergency services in future intelligent transportation systems based on vehicular communication networks IEEE Intelligent Transportation Systems Magazine 2 2 2010 6 20
23. Medynet (2012). Environment organization in accidents with multiple injured passengers. .
24. A. Messac, A. Ismail-Yahaya, and C.A. Mattson The normalized normal constraint method for generating the Pareto frontier Structural and Multidisciplinary Optimization 25 2 2003 86 98
25. A. Messac, and C. Mattson Normal constraint method with guarantee of even representation of complete Pareto frontier American Institute of Aeronautics and Astronautics Journal 42 10 2004 2101 2111
26. Miller, J. (2008). Vehicle-to-vehicle-to-infrastructure (V2V2I) intelligent transportation system architecture. In 2008 IEEE intelligent vehicles symposium (pp. 715-720).
27. Moscato, P., 1989. On evolution, search, optimization, genetic algorithms and martial arts - towards memetic algorithms. Tech. rep. Caltech Concurrent Computation Program 158-79. Pasadena, CA, USA: California Institute of Technology.
28. National Highway Traffic Safety Administration (NHTSA) (2012). FTP Site for the General Estimates System (GES). .
29. OpenStreetMap (2012). A collaborative project to create a free editable map of the world. .
30. Paquete, L., & Stutzle, T. (2003). A two-phase local search for the biobjective traveling salesman problem. In Proceedings of the second international conference on evolutionary multi-criterion optimization, EMO 2003.
31. Pareto, V. (1909). Cours d'economie politique. Paris.
32. Schaffer, J. D. (1985). Multiple objective optimization with vector evaluated genetic algorithms. In Proceedings of the first international conference on genetic algorithms and their applications.
33. P. Shukla, and K. Deb On finding multiple pareto-optimal solutions using classical and evolutionary generating method European Journal of Operational Research 181 3 2007 1630 1652
34. Spanish Ministry of Health (1998). Spanish Royal Decree 619/1998 of 17 April establishing the technical features, medical equipment and staff of medical transport vehicles on the road. .
35. N. Srinivas, and K. Deb Multiobjective optimization using nondominated sorting in genetic algorithms Journal Evolutionary Computation 2 3 1994 221 248
36. J. Teich Pareto-front exploration with uncertain objectives E. Zitzler, L. Thiele, K. Deb, C. Coello Coello, D. Corne, Evolutionary multi-criterion optimization Lecture notes in computer science Vol. 1993 2001 Springer Berlin/Heidelberg 314 328
37. S. Utyuzhnikov, P. Fantini, and M. Guenov A method for generating a well-distributed pareto set in nonlinear multiobjective optimization Journal of Computational and Applied Mathematics 223 2 2009 820 841
38. E. Zitzler, K. Deb, and L. Thiele Comparison of multiobjective evolutionary algorithms: Empirical results IEEE Transactions on Evolutionary Computing 8 2 2000 173 195