Details

Autor(en) / Beteiligte

• Zsifkovits, Martin
• Nistor, Marian Sorin
• Meyer-Nieberg, Silja

Titel

Quantitative network analysis for passenger pattern recognition: An analysis of railway stations

Ist Teil von

• 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR), 2015, p.247-252

Ort / Verlag

IEEE

Erscheinungsjahr

2015

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• As recent attacks in trains and train stations show, the protections of such critical infrastructure plays a major role for public decision makers. Thereby, security installations in the railway network are a frequently discussed topic. Especially the need for an open system demands for technologies that do not influence or delay passenger flows. This also leads to the question of optimal placement of security installations such as smart camera systems or stand-off detectors. For answering this question we observed passenger flows in the Munich central station. The observation data was transferred into a quantitative network and analyzed using various measures. With its help, critical parameter constellations can be identified and investigated in detail. Furthermore we are able to identify special groups of passengers and the differences in their behavior.