Abstract
The number of the accidents in Tunisia is terrifying and it is considered as the highest in the world while basing on accurate statistics. Such situation requires a very fast intervention. Therefore, it is necessary to promote the study in ambulance management, so as to optimize the strategy of response to a given accident. Based on the defect of the ambulance root choosing, this paper puts forward a new algorithm based on ant colony optimization algorithm to find the best way that minimizes the time while taking into consideration the cases of problems that can appear each time such as traffics, catastrophes natural, etc.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abbasi, H., Afshar, A., Jalali, M.R.: Ant-colony-based simulation-optimization modeling for the design of a forced water pipeline system considering the effects of dynamic pressures. J. Hydroinf. 12(2), 212–224 (2010)
Afshar, A., Mariño, M.A.: Multi-objective coverage-based ACO model for quality monitoring in large water networks. Water Resour. Manage 26(8), 2159–2176 (2012)
Afshar, M.H.: A parameter free continuous ant colony optimization algorithm for the optimal design of storm sewer networks: constrained and unconstrained approach. Adv. Eng. Softw. 41(2), 188–195 (2010)
Bajpai, A., Yadav, R.: Ant colony optimization (ACO) for the traveling salesman problem (TSP) using partitioning. Int. J. Sci. Technol. Res. 4(09), 376–381 (2015)
Ben Abdouallah, M., Bojji, C., El Yaakoubi, O.: Deployment and redeployment of ambulances using a heuristic method and an ant colony optimization—case study. In: International Conference on Systems of Collaboration (SysCo), pp. 1–4. IEEE (2016)
Brezina Jr., I., Čičková, Z.: Solving the travelling salesman problem using the ant colony optimization. Manage. Inf. Syst. 6(4), 010–014 (2011)
Bura, W., Boryczka, M.: Ant colony system in ambulance navigation. J. Med. Inf. Technol. 15, 115–124 (2010)
Castillo, O., Neyoy, H., Soria, J., Patricia, P., Valdez, F.: A new approach for dynamic fuzzy logic parameter tuning in ant colony optimization and its application in fuzzy control of a mobile robot. Appl. Soft Comput. 28, 150–159 (2015)
Feng, W., Zhang, Q., Hu, G., Huang, J.X.: Mining network data for intrusion detection through combining SVMs with ant colony networks. Future Gener. Comput. Syst. 37, 127–140 (2014)
Golshanara, L., Rankoohi, S.M.T.R., Shah-Hosseini, H.: A multi-colony ant algorithm for optimizing join queries in distributed database systems. Knowl. Inf. Syst. 39(1), 175–206 (2014)
Hashemi, S.S., Tabesh, M., Ataeekia, B.: Ant-colony optimization of pumping schedule to minimize the energy cost using variable-speed pumps in water distribution networks. Urban Water J. 11(5), 335–347 (2014)
Hlaing, Z. C. S. S., Khine, M.A.: An ant colony optimization algorithm for solving traveling salesman problem. In: International Conference On Information Communication And Management, Singapore, IPCSIT (2011)
Jalali, M.R., Afshar, A., Marino, M.A.: Improved ant colony optimization algorithm for reservoir operation. Scientia Iranica 13(3), 295–302 (2006)
Javidenah, A., Ataee, M., Alesheikh, A.A.: Ambulance routing with ant colony optimization. In: Proceedings of GIS 89 Conference, Iran (2010)
Junjie, P., Dingwei, W.: An ant colony optimization algorithm for multiple travelling salesman problem. In: First International Conference on Innovative Computing, Information And Control-Volume I (ICICIC 2006), pp. 210–213. IEEE (2006)
Li, B., Wang, L., Song, W.: Ant colony optimization or the traveling salesman problem based on ants with memory. In: 2008 Fourth International Conference on Natural Computation, pp. 496–501. IEEE (2008)
Lin, K.C., Chern, M.S.: The fuzzy shortest path problem and its most vital arcs. Fuzzy Sets Syst. 58(3), 343–353 (1993)
López-Ibáñez, M., Prasad, T.D., Paechter, B.: Ant colony optimization for optimal control of pumps in water distribution networks. J. Water Resour. Plan. Manage. 134(4), 337–346 (2008)
Silva, C.A., Runkler, T.A.: Ant colony optimization for dynamic traveling salesman problems. In: Arcs Workshops, pp. 259–266 (2004)
Tomera, M.: Ant colony optimization algorithm applied to ship steering control. Procedia Comput. Sci. 35, 83–92 (2014)
Wei, X., Han, L., Hong, L.: A modified ant colony algorithm for traveling salesman problem. Int. J. Comput. Commun. Control 9(5), 633–643 (2014)
Zhan, F.B., Noon, C.E.: Shortest path algorithms: an evaluation using real road networks. Trans. Sci. 32(1), 65–73 (1998)
Zhang, P., Feng, L.U.: Application in emergency vehicle routing choosing of particle swarm optimization based ant colony algorithm. J. Comput. Inf. Syst. 9, 8571–8579 (2013)
Accidents De La Route En Tunisie: Les Statistiques De 2014 et 2015. http://Efigure.Net/Accidents-De-La-Route-En-Tunisie-Les-Statistiques-De-2014-Et-2015/
Rapport De Diagnostic Des Gouvernorats De Kairouan, Siliana, Kef Et Jendouba. https://tunisia.iom.int/sites/default/files/activities/documents/Rapport%20de%20Diagnostique%20des%20gouvernorats%20de%20Kairouan,%20Siliana,%20Kef%20et%20Jendouba%20-%20START.pdf
Une Ambulance Pour La Tunisie. https://www.assen-asso.fr/projets/aide-durgence/132-une-ambulance-pour-ma-tunisie
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Hamdi, H., Arfaoui, N., Mashhour, Y.A., Akaichi, J. (2018). Ambulance Fastest Path Using Ant Colony Optimization Algorithm. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_40
Download citation
DOI: https://doi.org/10.1007/978-3-319-59480-4_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59479-8
Online ISBN: 978-3-319-59480-4
eBook Packages: EngineeringEngineering (R0)