The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Monitoring Pedestrian Spatio-Temporal Behaviour using Semi-Automated Shadowing
Abstract
Mobility and orientation behaviour research often requires the monitoring of pedestrian spatio-temporal behaviour. A number of different empirical methods have been developed to investigate specific aspects of pedestrian behaviour. However, each method has certain drawbacks, which aggravate the collection and analysis of relevant data. This chapter describes a new method which combines the advantages of simple observation and technological data collection. Pedestrian trajectories are collected by observing and annotating spatio-temporal tracks using a semi-automated shadowing tool. In this chapter, the authors describe the background and related work in pedestrian spatio-temporal behaviour research as well as most commonly applied methods and their respective advantages and drawbacks. The authors then present a shadowing approach with specific characteristics and implementation. Additionally, three case studies are described to illustrate potential fields of application. Finally, ongoing efforts to enhance the method through the use of additional sensors and features, as well as potential future developments, are described.
Related Content
|
Kemal Yasin Göka, Halil Ibrahim Yiğit, Olcay Polat, Görkem Gülhan, Aşkıner Güngör, Soner Haldenbilen, Halim Ceylan.
© 2024.
25 pages.
|
|
Hasibul Islam Lingkon, Syed Imran Ali.
© 2024.
18 pages.
|
|
Metin Mutlu Aydin.
© 2024.
21 pages.
|
|
Jorge Chicaiza Vaca, Markus Rabe, Jesus Gonzalez-Feliu.
© 2024.
22 pages.
|
|
Aysun Aygün Oğur, Mehmet Penpecioğlu, Sezen Savran Penpecioğlu.
© 2024.
21 pages.
|
|
Olcay Polat, Aşkıner Güngör, Soner Haldenbilen, Halim Ceylan.
© 2024.
20 pages.
|
|
Tayfun Salihoğlu.
© 2024.
26 pages.
|
|
|