Analysis of Signalized Intersections in the Context of Pedestrian Traffic - Publication - Bridge of Knowledge

Search

Analysis of Signalized Intersections in the Context of Pedestrian Traffic

Abstract

Gdynia is a city in the Pomeranian Voivod e ship of Poland with a population of about 250,000. It faces a growing motorization rate th at needs to be addressed. Car ownership in Gdynia now exceed s 500 vehicles per 1000 residents. Travel by public transport is decreasing and the rate of walking and cycling remains low. It is necessary to reverse these negative trends by implementing solu tions based on walking, cycling, and smart mobility. On the basis of one selected intersection, the article presents a research m ethod which aims at finding solutions that shoul d improve pedestrian walking and safety conditions at sig nalized intersections in th e city center area. According to the statistical research of traffic incidents, pedestrian behavior, and simulations run usin g the VISSIM software, an attempt was made to find solutions that wi ll result in improvement of traffic conditions and pedestrian saf ety at signalized intersections. Thes e analyses do not exhaust the test issues but are only a prelude to further research that will be run, a mong others, within the FLOW Project framework (HORIZON 2020) .

Citations

  • 1 6

    CrossRef

  • 0

    Web of Science

  • 1 7

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Published in:
Transportation Research Procedia no. 14, pages 2138 - 1247,
ISSN: 2352-1465
Title of issue:
6th Transport Research Arena (TRA) strony 2138 - 1247
Language:
English
Publication year:
2016
Bibliographic description:
Oskarbski J., Gumińska L., Miszewski M., Oskarbska I..: Analysis of Signalized Intersections in the Context of Pedestrian Traffic, W: 6th Transport Research Arena (TRA), 2016, ,.
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.trpro.2016.05.229
Verified by:
Gdańsk University of Technology

seen 149 times

Recommended for you

Meta Tags