Evaluation of in-vehicle Decision Support System for Emergency Evacuation

Abstract One of the most important issues in Decision Support Systems (DSS) technology is in ensuring their effectiveness and efficiency for future implementations and use. DSS is prominent tool in disaster information system, which allows the authority to provide life safety information directly to the mobile devices of anyone physically located in the evacuation area. After that a personal DSS guides users to a safe point. Due to the large uncertainty in initial conditions and assumptions on underlying process the implementation and evaluation of such DSS are extremely hard, particularly in real environment. We propose a simulation methodology for the evaluation of in-vehicle DSS for emergency evacuation based on transport system and human decision-making modeling.

[1]  Nobuhiro Ito,et al.  Evaluation of decision support systems for emergency management , 2002, Proceedings of the 41st SICE Annual Conference. SICE 2002..

[2]  Gunnar Flötteröd,et al.  Towards System Optimum: Finding Optimal Routing Strategies in Time-Dependent Networks for Large-Scale Evacuation Problems , 2009, KI.

[3]  Christos D. Tarantilis,et al.  Using a spatial decision support system for solving the vehicle routing problem , 2002, Inf. Manag..

[4]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[5]  Mohammad Saadatseresht,et al.  Evacuation planning using multiobjective evolutionary optimization approach , 2009, Eur. J. Oper. Res..

[6]  Gerald E. Evans,et al.  Assessing DSS effectiveness using evaluation research methods , 1989, Inf. Manag..

[7]  Mary Corbett,et al.  Effective Methodology for the Study of HCI , 1990 .

[8]  Gang Ren,et al.  An integrated model for evacuation routing and traffic signal optimization with background demand uncertainty , 2012 .

[9]  Antonino Vitetta,et al.  Safety of Users in Road Evacuation: Modelling and DSS for Transport Supply and Supply-Demand Interaction , 2009 .

[10]  Peter M. A. Sloot,et al.  Distributed Simulation of City Inundation by Coupled Surface and Subsurface Porous Flow for Urban Flood Decision Support System , 2013, ICCS.

[11]  Anna V. Kaluzhnaya,et al.  Simulation-based collaborative decision support for surge floods prevention in St. Petersburg , 2012, J. Comput. Sci..

[12]  Thomas J. Cova,et al.  A network flow model for lane-based evacuation routing , 2003 .

[13]  Peter R. Stopher,et al.  Review of Procedures Associated with Devising Emergency Evacuation Plans , 2004 .

[14]  H. Raghav Rao,et al.  Evaluation of Decision Support Systems , 2008 .