Adam Widera, Sandra Lechtenberg, Gaby Gurczik, Sandra Bähr, & Bernd Hellingrath. (2017). Integrated Logistics and Transport Planning in Disaster Relief Operations. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 752–764). Albi, France: Iscram.
Abstract: Decision making in the area of humanitarian logistics and supply chain management often suffers because of the interrelations between planning horizons, tasks, and crisis management lifecycle phases. In this paper, we present a method, an exemplary prototypical implementation and its evaluation within a relief organization. Based on a structured literature analysis (a review of existing information systems as well as a consideration of ongoing research projects), basic requirements for an integrated logistics and transport planning approach were derived. Together with end-user involvement, these results were used to design and prototype a concept of an appropriate information system, which was applied and evaluated in a tabletop exercise. The generated results are promising in terms of having a positive impact on the logistics effectiveness. In combination with the identified limitations, our results promise to have an impact on future ISCRAM research.
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Ahmed Laatabi, Benoit Gaudou, Chihab Hanachi, Patricia Stolf, & Sébastien Truptil. (2022). Coupling Agent-based Simulation with Optimization to Enhance Population Sheltering. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 116–132). Tarbes, France.
Abstract: Population sheltering is a recurrent problem in crisis management that requires addressing two aspects: evacuating vulnerable people using emergency vehicles and regulating movements of pedestrians and individual vehicles towards shelters. While these aspects have received considerable attention in modeling and simulation literature, very few approaches consider them simultaneously. In this paper, we argue that Agent-Based Modeling and Simulation (ABMS) and Optimization are two complementary approaches that can address the problem of sheltering globally and efficiently and be the basis of coherent frameworks for decision- and policy-making. Optimization can build efficient sheltering plans, and ABMS can explore what-if scenarios and use geospatial data to display results within a realistic environment. To illustrate the benefits of a framework based on this coupling approach, we simulate actual flash flood scenarios using real-world data from the city of Trèbes in South France. Local authorities may use the developed tools to plan and decide on sheltering strategies, notably, when and how to evacuate depending on available time and resources.
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Florent Dubois, Paul Renaud-Goud, & Patricia Stolf. (2022). Dynamic Capacitated Vehicle Routing Problem for Flash Flood Victim’s Relief Operations. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 68–86). Tarbes, France.
Abstract: Flooding relief operations are Dynamic Vehicle Routing Problems (DVRPs). The problem of people evacuation is addressed and formalized in this paper. Characteristics of this DVRP problem applied to the crisis management context and to the requirements of the rescue teams are explained. In this paper, several heuristics are developed and assessed in terms of performance. Two heuristics are presented and adapted to the dynamic problem in a re-optimization approach. An insertion heuristic that inserts demands in the existing plan is also proposed. The evaluation is conducted on various dynamic scenarios with characteristics based on a study case. It reveals better performances for the heuristics with a re-optimization approach.
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Daniel Iland, Don Voita, & Elizabeth Belding. (2013). Delay tolerant disaster communication with the One Laptop per Child XO laptop. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 863–867). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: In this paper, we describe the design, implementation, and evaluation of a mesh network based messaging application for the One Laptop Per Child XO laptop. We outline the creation of an easy-to-use OLPC Activity that exchanges Ushahidi-style messages with nearby OLPC users through the Internet or a mesh network. Our contributions are to implement an epidemic messaging scheme on mesh networks of OLPC XO laptops, to extend the Ushahidi web application to efficiently exchange messages with nodes in mesh networks, and to allow the Ushahidi server to distribute cures, notifications of message delivery, for each received message. Testing and analysis revealed substantial overhead is introduced by the OLPC's use of Telepathy Salut for activity sharing.
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Konstantinos Koufos, Krisztina Cziner, & Pekka Parviainen. (2007). Multicast video performance evaluation for emergency response communications. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 595–604). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Group-oriented services including data dissemination, group calls and real-time video transmission are considered as an important application in public safety communications. The main interest is in one-way real-time video transmission from the hot spot to multiple recipients. This is important for efficient emergency response. The changing topology of the multi-hop communication links in a public safety environment makes routing and multicasting extremely challenging task. The purpose of this paper is to study the performance of wireless mobile ad-hoc networks with one-way multicast video traffic. To consider a realistic public safety scenario, the effect of extensive unidirectional links is investigated. The system performance study of various ad-hoc network configurations is done by simulations. For wireless multicast routing, the On Demand Multicast Routing Protocol is used. The performance results are compared with the requirements provided by Statement of Requirement document of standardization project MESA.
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Niels Netten, & Maarten Van Someren. (2008). Identifying segments for routing emergency response dialogues. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 108–117). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In crisis management situations information is exchanged in different ways. In general, information is exchanged through spoken dialogues or text messaging conversations. Part of this exchanged dialogue information is often relevant to other actors involved in managing the crisis. Due to the dynamic character of the situation, dialogue partners may not be aware of who else needs the exchanged information. We present a coarse-grained segmentation method for automatically recognizing coherent dialogue segments which are then used for routing. We investigate the effectiveness of our features for recognizing boundaries of segments on transcribed emergency response dialogues and we compare classification by relevance of the identified information segments to the ideal topic segments.
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Thomas Plagemann, Katrine S. Skjelsvik, Matija Puzar, Aslak Johannessen, Ovidiu Drugan, Vera Goebel, et al. (2008). Cross-layer overlay synchronization in sparse MANETs. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 546–555). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Mobile Ad-Hoc Networks maintain information in the routing table about reachable nodes. In emergency and rescue operations, human groups play an important role. This is visible at the network level as independent network partitions which are for some time stable before their members change through merging or partitioning. We use the information from stable routing tables to optimize the synchronization of Mediators in a Distributed Event Notification System. In a stable partition each node has the same information, thus a single Mediator can efficiently coordinate the synchronization, while all other Mediators just receive updates. We show in our experiments that just a few seconds are needed until routing tables stabilize and all nodes have a common view of the partition. We present a heuristic to determine the proper time to synchronize. Furthermore, we show how exceptions, like disappearing coordinating Mediators and unexpected messages, can be efficiently handled.
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Volkmar Schau, Sebastian Scharf, Christian Erfurth, Stefan Hellfritzsch, Gerald Eichler, & Wilhelm Rossak. (2012). Simulation of wireless, self-organizingandagent-based dynamic communication scenarios. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: The inter-disciplinary research project SpeedUp focuses on an IT framework to support communication and collaboration for mobile rescue forces. Starting with the investigation of methods, organizational structures and strategies a separation of the professional and technical (IT) layers is achieved. In most cases rescue activities are highly dynamic, so the choice of a MANET supports best the application of mobile agents and different routing strategies. Using simulation, a number of representative, location-based scenarios are analyzed and evaluated. © 2012 ISCRAM.
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Siska Fitrianie, & Leon J. M. Rothkrantz. (2015). Dynamic Routing during Disaster Events. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Innovations in mobile technology allow the use of Internet and smartphones for communicating disasters and coordinating evacuations. However, given the turbulent nature of disaster situations, the people and systems at crisis center are subjected to information overload, which can obstruct timely and accurate information sharing. A dynamic and automated evacuation plan that is able to predict future disaster outcome can be used to coordinate the affected people to safety in times of crisis. In this paper, we present a dynamic version of the shortest path algorithm of Dijkstra. The algorithm is able to compute the shortest path from the user?s location (sent by the smartphone) to the safety area by taking into account possible affected areas in future. We aim at employing the computed routes on our mobile communication system for navigating affected people during emergency and disaster evacuations. Two simulation studies have validated the performance of the developed algorithm.
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Duncan T. Wilson, Glenn I. Hawe, Graham Coates, & Roger S. Crouch. (2013). Scheduling response operations under transport network disruptions. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 683–687). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Modeling the complex decision problems faced in the coordination of disaster response as a scheduling problem to be solved using an optimization algorithm has the potential to deliver efficient and effective support to decision makers. However, much of the utility of such a model lies in its ability to accurately predict the outcome of any proposed solution. The stochastic nature of the disaster response environment can make such prediction difficult. In this paper we examine the effect of unknown disruptions to the road transport network on the utility of a disaster response scheduling model. The effects of several levels of disruption are measured empirically and the potential of using real-time information to revise model parameters, and thereby improve predictive performance, is evaluated.
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