Record |
Author  |
Shengcheng Yuan; Yi Liu; Gangqiao Wang; Hongshen Sun; H. Zhang |
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 |
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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 |
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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 |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Analytic Modeling and Simulation |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1137 |
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