Commit 0759acc6 authored by Arne Graf's avatar Arne Graf

more bib, MCs remarks

parent ae8d5bcc
\begin{titlepage}
\begin{center}
% Oberer Teil der Titelseite:
\includegraphics[width=0.6\linewidth]{pics/Ju}\\[1cm]
\textsc{\LARGE Forschungszentrum J{\"u}lich GmbH}\\[1.5cm]
\textsc{\Large Masterthesis}\\[0.5cm]
% Title
\newcommand{\HHRule}{\rule{\linewidth}{0.5mm}}
\HHRule \\[0.4cm]
{ \huge \bfseries Automated Routing in Pedestrian Dynamics}\\[0.4cm]
\HHRule \\[1.5cm]
Fachhochschule Aachen, Campus J{\"u}lich
Fachbereich: Medizintechnik und Technomathematik,
Studiengang: Technomathematik
\vfill
% Author and supervisor
\begin{minipage}{0.3\textwidth}
\begin{flushleft} \large
%\emph{\ \\}
%\textsc{\ \\}
\emph{Autor:}\\
Arne \textsc{Graf}
\end{flushleft}
\end{minipage}
\hfill
\begin{minipage}{0.6\textwidth}
\begin{flushright} \large
\emph{Erstpr{\"u}fer:} \\
Prof. Dr. Johannes \textsc{Grotendorst} \\
\emph{Zweitpr{\"u}fer:} \\
Dr. Mohcine \textsc{Chraibi}
\end{flushright}
\end{minipage}
\vfill
% Unterer Teil der Seite
{\large J{\"u}lich, 2015-10-06}
\end{center}
\end{titlepage}
\ No newline at end of file
%\documentclass{article}
%
%\usepackage[latin1]{inputenc}
%\usepackage{tikz}
%\usetikzlibrary{shapes,arrows}
%\begin{document}
%\pagestyle{empty}
% Define block styles
\tikzstyle{decision} = [diamond, draw, fill=blue!20,
text width=4.5em, node distance=3cm, inner sep=0pt]
\tikzstyle{block} = [rectangle, draw, fill=blue!20,
text width=12em, align=center, rounded corners, minimum height=4em]
\tikzstyle{cloud} = [draw, ellipse,fill=blue!20, node distance=3cm,
minimum height=2em]
%----------------------------------------------------------------------------------
\tikzstyle{decision1} = [diamond, draw, fill=green!20,
text width=4.5em, node distance=3cm, inner sep=0pt]
\tikzstyle{block1} = [rectangle, draw, fill=green!20,
text width=12em, align=center, rounded corners, minimum height=4em]
\tikzstyle{cloud1} = [draw, ellipse,fill=green!20, node distance=3cm,
minimum height=2em]
%----------------------------------------------------------------------------------
\tikzstyle{decision2} = [diamond, draw, fill=red!20,
text width=4.5em, node distance=3cm, inner sep=0pt]
\tikzstyle{block2} = [rectangle, draw, fill=red!20,
text width=5em, rounded corners, minimum height=4em]
\tikzstyle{cloud2} = [draw, ellipse,fill=red!20, node distance=3cm,
minimum height=2em]
%---------------------------------------------------------------------------------
\tikzstyle{line} = [draw, -latex, ultra thick]
\begin{tikzpicture}[auto]
% Place nodes left block
\node [block] (dfield) {create distance field\\ $d$};
\node [block, below = 0.8cm of dfield] (sfield) {create speed field\\ $s$};
\node [block, below = 0.8cm of sfield] (nFF) {create navigation floor-field\\ $c$};
\node [block1, below = 0.8cm of nFF] (nVF) {create vector field \\$(-1) \frac{\nabla c}{\left\Vert \nabla c \right\Vert}$};
%\node [block, below of=Jsim] (agents) {send/recv agents};
%\node [decision, below of=agents] (done) {done?};
%\node [cloud, below of=done, node distance=3cm] (end) {shutdown \emph{mobsim}};
% Draw edges
\path [line] (dfield) -- (sfield);
\path [line] (sfield) -- (nFF);
\path [line] (nFF) -- (nVF);
%\path [line] (agents) -- (done);
%\path [line] (done) -- node [near start] {yes} (end);
%\path [line] (done) -| node [anchor=south, near start] {no} +(-2.2,0) |- (Msim.west);
% ------- Middle block
\node [block1, right = 2cm of nVF] (wVF) {create vector field\\ $(-1) \nabla d$};
%\node [block1, below of=m2j] (req) {send agent request};
%\node [decision1, below of=req] (isplace) {is space?};
%\node [block1, below of=isplace, node distance=3cm] (send) {send agent};
%\node [decision1, below of=send] (more) {more agents?};
%\node [cloud1, below of=more, node distance=3cm] (end2) {end};
% Draw edges
%\path [line] (req) -- (isplace);
%\path [line] (isplace) -| node [near start] {no} +(2,-1) |- (end2.east);
%\path [line] (isplace) -- node [near start] {yes} (send);
%\path [line] (send) -- (more);
%\path [line] (more) -- node [near start] {no} (end2);
%\path [line] (more) -| node [anchor=south, near start] {yes} +(-2.2,0) |- (req.west);
% ------- Middle right
%\node [ right of=m2j, node distance=5cm] (j2m) {JuPedSim $\Leftrightarrow$ MATsim};
%\node [block2, below of=j2m] (recvReq) {receive agent request};
%\node [decision2, below of=recvReq] (isplace2) {is space?};
%\node [block2, below of=isplace2, node distance=3cm] (recv) {receive agent};
%\node [block2, below of=recv] (sim) {queue for simulation};
%\node [cloud2, below of=sim, node distance=4cm] (end3) {end};
% Draw edges
%\path [line] (recvReq) -- (isplace2);
%\path [line] (isplace2) -| node [near start] {no} +(2,-1) |- (end3.east);
%\path [line] (isplace2) -- node [near start] {yes} (recv);
%\path [line] (recv) -- (sim);
%\path [line] (sim) -- (end3);
\path [line] (dfield) -| node [near start] {} (wVF);
\end{tikzpicture}
%\end{document}
\ No newline at end of file
......@@ -141,3 +141,71 @@ URL = {http://www.inrosoftware.com/en/products/emme/},
Owner = {seyfried},
Timestamp = {2012.10.26}
}
@Thesis{Marno,
Title = {Crowded - Macroscopic and Microscopic Models for Pedestrian Dynamics},
Author = {Marno, P.},
Year = {2002}
Journal = {Numerical Analysis Report 04/2002}
}
@Article{Helbing2001,
Title = {Traffic and related self-driven many-particle systems},
Author = {Helbing, D.},
Journal = {Rev. Mod. Phys.},
Year = {2001},
Pages = {1067--1141},
Volume = {73},
Abstract = {Since the subject of traffic dynamics has captured the interest of physicists, many surprising effects have been revealed and explained. Some of the questions now understood are the following: Why are vehicles sometimes stopped by ''phantom traffic jams'' even though drivers all like to drive fast? What are the mechanisms behind stop-and-go traffic? Why are there several different kinds of congestion, and how are they related? Why do most traffic jams occur considerably before the road capacity is reached? Can a temporary reduction in the volume of traffic cause a lasting traffic jam? Under which conditions can speed limits speed up traffic? Why do pedestrians moving in opposite directions normally organize into lanes, while similar systems ''freeze by heating''? All of these questions have been answered by applying and extending methods from statistical physics and nonlinear dynamics to self-driven many-particle systems. This article considers the empirical data and then reviews the main approaches to modeling pedestrian and vehicle traffic. These include microscopic (particle-based), mesoscopic (gas-kinetic), and macroscopic (fluid-dynamic) models. Attention is also paid to the formulation of a micro-macro link, to aspects of universality, and to other unifying concepts, such as a general modeling framework for self-driven many-particle systems, including spin systems. While the primary focus is upon vehicle and pedestrian traffic, applications to biological or socio-economic systems such as bacterial colonies, flocks of birds, panics, and stock market dynamics are touched upon as well.},
Doi = {10.1103/RevModPhys.73.1067},
File = {Helbing2001.pdf:pdf/Helbing2001.pdf:PDF},
Owner = {portz},
Timestamp = {2008.01.09},
Url = {http://link.aps.org/abstract/RMP/v73/p1067}
}
@InProceedings{Seyfried2008,
Title = {Fundamental Diagram and Validation of Crowd Models},
Author = {Seyfried, A. and Schadschneider, A.},
Booktitle = {Cellular Automata},
Year = {2008},
Editor = {Umeo, H. and Morishita, S. and Nishinari, K. and Komatsuzaki, T. and Bandini, S.},
Pages = {563-566},
Publisher = {Springer Berlin / Heidelberg},
Series = {Lecture Notes in Computer Science},
Volume = {5191/2008},
Abstract = {In recent years, several approaches for crowd modeling have been proposed. However, so far not much attention has been paid to their quantitative validation. The fundamental diagram , i.e. the density - dependence of the flow or velocity, is probably the most important relation as it connects the basic parameter to describe the dynamic of crowds. But specifications in different handbooks as well as experimental measurements for the fundamental diagram differ considerably. We give a review of the experimental data base and the causes for the discrepancies discussed in the literature. Up to now it was neglected that the way of measurement can cause variations between the results of different studies. To shed some light on this problem we studied by means of experimental trajectories of the single file movement how different measurement methods influence the resulting fundamental diagram.},
Comment = {pedestrians, fundamental diagram, experiment, laboratory conditions},
Doi = {10.1007/978-3-540-79992-4},
File = {Seyfried2008.pdf:pdf/Seyfried2008.pdf:PDF},
Keywords = {empirical data, model validation, fundamental diagram},
Owner = {portz},
Timestamp = {2008.08.25}
}
@Article{ZhangQ2011,
Title = {Simulation model of pedestrian interactive behavior},
Author = {Zhang, Qi and Han, Baoming},
Journal = {Physica A},
Year = {2011},
Note = {Article in Press, Uncorrected Proof},
Pages = {636-646},
Volume = {390},
Abstract = {This paper presents a simulation model for pedestrian collective behavior. It is supposed that the pedestrians make individual decisions during movement according to their wishes and interaction with other pedestrians. The follow effect, deterrent effect and rejection effect are put forth as latent interactive effects influencing pedestrian decisions. Three categories of potential fields were defined to model the pedestrian behavior by simulating pedestrians' decision processes. A circumstance potential field was defined to simulate the desire to targets. Moving and waiting potential fields were defined to model the interaction. Experiments were run for the model validation and coefficient performance verification. Performances and relationships of sensitivity coefficient, decay coefficient and diffusion coefficient are studied to clarify the effectiveness and flexibility of the presented model in generating pedestrian movement under a variety of situations. The simulation results show the good performance of the model in reflecting pedestrian interactive behavior.},
Comment = {pedestrians, oscillation at bottlenecks, lane formation, modelling, cellular automata, way finding},
Doi = {doi:10.1016/j.physa.2010.10.029},
File = {:pdf\\ZhangQ2011.pdf:PDF},
Keywords = {Pedestrian behavior, Interaction, Potential field, Simulation model},
Owner = {portz},
Timestamp = {2010.11.10}
}
@Book{sethian,
Title = {A Marching Level Set Method for Monotonically Advancing Fronts},
Author = {Sethian, J.A.},
Publisher = {Proc. Nat. Acad. Sci.},
Year = {1996},
}
\ No newline at end of file
This diff is collapsed.
%\documentclass{article}
%
%\usepackage[latin1]{inputenc}
%\usepackage{tikz}
%\usetikzlibrary{shapes,arrows}
%\begin{document}
%\pagestyle{empty}
% Define block styles
\tikzstyle{decision} = [diamond, draw, fill=blue!20,
text width=4.5em, node distance=3cm, inner sep=0pt]
\tikzstyle{block} = [rectangle, draw, fill=blue!20,
text width=12em, align=center, rounded corners, minimum height=4em]
\tikzstyle{cloud} = [draw, ellipse,fill=blue!20, node distance=3cm,
minimum height=2em]
%----------------------------------------------------------------------------------
\tikzstyle{decision1} = [diamond, draw, fill=green!20,
text width=4.5em, node distance=3cm, inner sep=0pt]
\tikzstyle{block1} = [rectangle, draw, fill=green!20,
text width=12em, align=center, rounded corners, minimum height=4em]
\tikzstyle{cloud1} = [draw, ellipse,fill=green!20, node distance=3cm,
minimum height=2em]
%----------------------------------------------------------------------------------
\tikzstyle{decision2} = [diamond, draw, fill=red!20,
text width=4.5em, node distance=3cm, inner sep=0pt]
\tikzstyle{block2} = [rectangle, draw, fill=red!20,
text width=5em, rounded corners, minimum height=4em]
\tikzstyle{cloud2} = [draw, ellipse,fill=red!20, node distance=3cm,
minimum height=2em]
%---------------------------------------------------------------------------------
\tikzstyle{line} = [draw, -latex, ultra thick]
\begin{tikzpicture}[auto]
% Place nodes left block
\node [block] (dfield) {create distance field\\ $d$};
\node [block, below = 0.8cm of dfield] (sfield) {create speed field\\ $s$};
\node [block, below = 0.8cm of sfield] (nFF) {create navigation floor-field\\ $c$};
\node [block1, below = 0.8cm of nFF] (nVF) {create vector field \\$(-1) \frac{\nabla c}{\left\Vert \nabla c \right\Vert}$};
%\node [block, below of=Jsim] (agents) {send/recv agents};
%\node [decision, below of=agents] (done) {done?};
%\node [cloud, below of=done, node distance=3cm] (end) {shutdown \emph{mobsim}};
% Draw edges
\path [line] (dfield) -- (sfield);
\path [line] (sfield) -- (nFF);
\path [line] (nFF) -- (nVF);
%\path [line] (agents) -- (done);
%\path [line] (done) -- node [near start] {yes} (end);
%\path [line] (done) -| node [anchor=south, near start] {no} +(-2.2,0) |- (Msim.west);
% ------- Middle block
\node [block1, right = 2cm of nVF] (wVF) {create vector field\\ $(-1) \nabla d$};
%\node [block1, below of=m2j] (req) {send agent request};
%\node [decision1, below of=req] (isplace) {is space?};
%\node [block1, below of=isplace, node distance=3cm] (send) {send agent};
%\node [decision1, below of=send] (more) {more agents?};
%\node [cloud1, below of=more, node distance=3cm] (end2) {end};
% Draw edges
%\path [line] (req) -- (isplace);
%\path [line] (isplace) -| node [near start] {no} +(2,-1) |- (end2.east);
%\path [line] (isplace) -- node [near start] {yes} (send);
%\path [line] (send) -- (more);
%\path [line] (more) -- node [near start] {no} (end2);
%\path [line] (more) -| node [anchor=south, near start] {yes} +(-2.2,0) |- (req.west);
% ------- Middle right
%\node [ right of=m2j, node distance=5cm] (j2m) {JuPedSim $\Leftrightarrow$ MATsim};
%\node [block2, below of=j2m] (recvReq) {receive agent request};
%\node [decision2, below of=recvReq] (isplace2) {is space?};
%\node [block2, below of=isplace2, node distance=3cm] (recv) {receive agent};
%\node [block2, below of=recv] (sim) {queue for simulation};
%\node [cloud2, below of=sim, node distance=4cm] (end3) {end};
% Draw edges
%\path [line] (recvReq) -- (isplace2);
%\path [line] (isplace2) -| node [near start] {no} +(2,-1) |- (end3.east);
%\path [line] (isplace2) -- node [near start] {yes} (recv);
%\path [line] (recv) -- (sim);
%\path [line] (sim) -- (end3);
\path [line] (dfield) -| node [near start] {} (wVF);
\end{tikzpicture}
%\end{document}
\ No newline at end of file
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