Use of laser measurements and video images to investigate pedestrian movement along non-uniform sidewalks


Caputcu M., Şengöz B., Özuysal M., Tanyel S., Kaplan S., Karabayir A.

Proceedings of the World Congress on Civil, Structural, and Environmental Engineering, CSEE 2016, Prague, Çek Cumhuriyeti, 30 - 31 Mart 2016 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.11159/icte16.105
  • Basıldığı Şehir: Prague
  • Basıldığı Ülke: Çek Cumhuriyeti
  • Anahtar Kelimeler: Data collection with laser scanners, Pedestrian attributes, Regression model, Sidewalk problems, Walking speeds
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

© Avestia Publishing, 2016.While depending on various factors such as alignment of roads, location of and distance to central attractions, affordability of personal vehicle ownership, and social choices, pedestrian transportation mode often constitutes a significant portion of urban transportation demand. Accessibility to mass transportation systems, which are considered the most cost-effective mode of transportation, also necessitates walking. Therefore, performance of walking facilities is critical in achieving the goal of livable cities. On the other hand, some road sides with pedestrian traffic are often subject to a number of problems. Mostly being encountered in developing countries, these problems can be broadly classified as; absence of sidewalks along urban arterials or collectors, sidewalks with insufficient width for pedestrian traffic demand, and poor serviceability due to illegal fixed obstacles or unfixed encroachments. Furthermore, the comfort level and sense of safety are affected significantly. Investigation of these situations require research with use of advanced technology which is seemingly limited in those countries. Laser range scanners offer an affordable and yet robust data collection method for analyzing complex traffic scenes with undesired interactions. This paper presents a method as an alternative to conventional data collection methods for traffic analysis, and suggests that it can be adapted to investigate micro-interactions and conflicts around locations of aforementioned sidewalk problems.