Pedestrian Traffic Distribution Analysis Using Face Recognition Technology

Marcin Mikłasz , Piotr Olszewski , Adam Nowosielski , Grzegorz Kawka


Pedestrian traffic distribution analysis in big public transport interchanges is aimed at improving transfer conditions, schedule optimization and route planning. Traditional survey of people flow is based on counting and interviewing of travellers. In the article, a new method of transport interchange analysis using image processing method is presented. In November 2009, Bemowo-Ratusz interchange in Warsaw has been subjected to detailed examination. The study was associated with the planned redevelopment. In parallel with the survey based on image processing methods, the traditional interview-based survey has been conducted in order to compare the results. Passenger transfer matrices obtained from optical analysis and traditional survey show good correlation. This proves the effectiveness and shows potential of image analysis methods for this kind of application.
Author Marcin Mikłasz - [West Pomeranian Business School]
Marcin Mikłasz,,
, Piotr Olszewski (FCE / IRB)
Piotr Olszewski,,
- The Institute of Roads and Bridges
, Adam Nowosielski - [Zachodniopomorski Uniwersytet Technologiczny w Szczecinie (ZUT)]
Adam Nowosielski,,
- Zachodniopomorski Uniwersytet Technologiczny w Szczecinie
, Grzegorz Kawka
Grzegorz Kawka,,
Publication size in sheets0.5
Book Mikulski Jerzy (eds.): Activities of Transport Telematics, Communications in Computer and Information Science, vol. 395, 2013, Heidelberg, Springer, ISBN 978-3-642-41646-0, [978-3-642-41647-7], 485 p., DOI:10.1007/978-3-642-41647-7
Activities of Transport Telematics (frontpage).pdf / 131.46 KB / No licence information
Keywords in Englishpedestrian traffic analysis, face recognition, face detection
ASJC Classification2600 General Mathematics; 1700 General Computer Science
Languageen angielski
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 10.0, 02-09-2020, BookChapterSeriesAndMatConfByConferenceseries
Ministerial score (2013-2016) = 15.0, 02-09-2020, BookChapterSeriesAndMatConfByConferenceseries
Publication indicators WoS Citations = 2; Scopus Citations = 4; GS Citations = 4.0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 0.253
Citation count*4 (2020-09-13)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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