Brief communication: Vehicle routing problem and UAV application in the post-earthquake scenario

Abstract. In this paper we simulate unmanned aerial vehicle (UAV) recognition after a possible case of diffuse damage after a seismic event in the town of Acireale (Sicily, Italy). Given a set of sites (84 relevant buildings) and the range of the UAV, we are able to find a number of vehicles to employ and the shortest survey path. The problem of finding the shortest survey path is an operational research problem called the vehicle routing problem (VRP). which has a solution that is known to be computationally time-consuming. We used the simulated annealing (SA) heuristic, which is able to provide stable solutions in a relatively short computing time. We also examined the distribution of the cost of the solutions varying the depot on a regular grid in order to find the best area for executing the survey.

[1]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1992, Artificial Intelligence.

[2]  Mario Locati,et al.  CPTI15, the 2015 version of the Parametric Catalogue of Italian Earthquakes , 2016 .

[3]  Antonino D’Alessandro Tiny Accelerometers Create Europe's First Urban Seismic Network , 2016 .

[4]  Marie Schmidt,et al.  Optimization Approaches for the Traveling Salesman Problem with Drone , 2016, Transp. Sci..

[5]  Carlo Meletti,et al.  The 2015 version of the Italian Parametric Earthquake Catalogue (CPTI15) , 2016 .

[6]  M. Buttinelli,et al.  SISMIKO: emergency network deployment and data sharing for the 2016 central Italy seismic sequence , 2017 .

[7]  Raffaele Azzaro,et al.  Catalogo Macrosismico dei Terremoti Etnei , 2014 .

[8]  Nicolas Jozefowiez,et al.  The vehicle routing problem: Latest advances and new challenges , 2007 .

[9]  F GriffinGed The Use of Unmanned Aerial Vehicles for Disaster Management , 2014 .

[10]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[11]  Andrea Manconi,et al.  Brief Communication: The use of an unmanned aerial vehicle in a rockfall emergency scenario , 2015 .

[12]  Tomasz Niedzielski,et al.  A procedure for delineating a search region in the UAV-based SAR activities , 2017 .

[13]  Pratap Tokekar,et al.  Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[14]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[15]  D'Alessandro Antonino Drones:New Tools for Natural Risk Mitigation and Disaster Response , 2016 .

[16]  Martin Pincus,et al.  Letter to the Editor - A Monte Carlo Method for the Approximate Solution of Certain Types of Constrained Optimization Problems , 1970, Oper. Res..

[17]  T. Chou,et al.  DISASTER MONITORING AND MANAGEMENT BY THE UNMANNED AERIAL VEHICLE TECHNOLOGY , 2010 .

[18]  Lawrence Davis,et al.  Applying Adaptive Algorithms to Epistatic Domains , 1985, IJCAI.

[19]  Luca Greco,et al.  Characterization of MEMS accelerometer self-noise by means of PSD and Allan Variance analysis , 2017, 2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI).

[20]  Marcello Chiaberge,et al.  Multipurpose UAV for search and rescue operations in mountain avalanche events , 2017 .

[21]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

[22]  Christopher Gomez,et al.  UAV- based Photogrammetry and Geocomputing for Hazards and Disaster Risk Monitoring – A Review , 2016, Geoenvironmental Disasters.

[23]  Jiuh-Biing Sheu,et al.  Vehicle routing problem with drones , 2019, Transportation Research Part B: Methodological.

[24]  D. J. Smith,et al.  A Study of Permutation Crossover Operators on the Traveling Salesman Problem , 1987, ICGA.

[25]  Andrea Manconi,et al.  Use of unmanned aerial vehicles in monitoring application and management of natural hazards , 2017 .

[26]  Antonino D' Alessandro Monitoring of earthquakes using MEMS sensors , 2014 .

[27]  Bruce L. Golden,et al.  The vehicle routing problem with drones: several worst-case results , 2017, Optim. Lett..

[28]  D. Dominici,et al.  UAV photogrammetry in the post-earthquake scenario: case studies in L'Aquila , 2017 .

[29]  Raffaele Martorana,et al.  Drones - New Technologies for Geophysics? , 2015 .

[30]  Giuseppe D'Anna,et al.  Urban MEMS based seismic network for post-earthquakes rapid disaster assessment , 2014 .

[31]  Hiroyuki Obanawa,et al.  3D Modelling of Inaccessible Areas using UAV-based Aerial Photography and Structure from Motion , 2014 .

[32]  Giuseppe D'Anna,et al.  Suitability of Low‐Cost Three‐Axis MEMS Accelerometers in Strong‐Motion Seismology: Tests on the LIS331DLH (iPhone) Accelerometer , 2013 .