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Author (up) Shengcheng Yuan; Yi Liu; Gangqiao Wang; Hongshen Sun; H. Zhang pdf 
  Title A dynamic-data-driven driving variability modeling and simulation for emergency evacuation Type Conference Article
  Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014  
  Volume Issue Pages 70-74  
  Keywords Computer simulation; Decision making; Information systems; Accurate prediction; Adaptive simulation; Decision making support; Driving variability; Emergency evacuation; Emergency situation; Microscopic traffic simulation; Variability model; Traffic control  
  Abstract This paper presents a dynamic data driven approach of describing driving variability in microscopic traffic simulations for both normal and emergency situations. A four-layer DGIT (Decision, Games, Individual and Transform) framework provides the capability of describing the driving variability among different scenarios, vehicles, time and models. A four-step CCAR (Capture, Calibration, Analysis and Refactor) procedure captures the driving behaviors from mass real-time data to calibrate and analyze the driving variability. Combining the DGIT framework and the CCAR procedure, the system can carry out adaptive simulation in both normal and emergency situations, so that be able to provide more accurate prediction of traffic scenarios and help for decision-making support. A preliminary experiment is performed on a major urban road, and the results verified the feasibility and capability of providing prediction and decision-making support.  
  Address Institute of Public Safety Research, Tsinghua University, Beijing, China; Department of Engineering Physics, Tsinghua University, Beijing, China  
  Corporate Author Thesis  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Analytic Modeling and Simulation Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1137  
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