Download PDFOpen PDF in browser

Pedestrian-Friendly Traffic Signal Control Using SUMO

6 pagesPublished: August 13, 2019

Abstract

The center of the Kadıköy area in Istanbul is extremely crowded due to overlap of the terminals for the subway and the marine transit lines. When the Kadıköy-Kartal subway’s terminal is added in the middle of the Kadıköy in 2013 without the analysis on crowd dynamics, vehicular and pedestrian traffic have become much more complicated to be efficiently managed. When the pedestrians have a crossing gap, most of them make the decision of crossing without considering the signal phase. Likewise, when it is a pedestrian clearance phase, there can be situations where all the pedestrians cannot cross the street because of high density and insufficient green time. We therefore propose an adaptive traffic control system considering the traffic flows of road vehicles and pedestrians with field data. We have utilized the Eclipse SUMO micro-simulator in conjunction with TraCI for modeling the case. Comparison of fixed time and adaptive signal controllers is provided. Simulations have shown that, reductions in the delay time for both vehicles and pedestrians are achieved by using adaptive signal controllers.

Keyphrases: adaptive traffic control, pedestrian traffic, smart mobility, sumo

In: Melanie Weber, Laura Bieker-Walz, Robert Hilbrich and Michael Behrisch (editors). SUMO User Conference 2019, vol 62, pages 101-106.

BibTeX entry
@inproceedings{SUMO2019:Pedestrian_Friendly_Traffic_Signal,
  author    = {Görkem Akyol and Mehmet Ali Silgu and Hilmi Berk Çelikoğlu},
  title     = {Pedestrian-Friendly Traffic Signal Control Using SUMO},
  booktitle = {SUMO User Conference 2019},
  editor    = {Melanie Weber and Laura Bieker-Walz and Robert Hilbrich and Michael Behrisch},
  series    = {EPiC Series in Computing},
  volume    = {62},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/9R7n},
  doi       = {10.29007/c6k6},
  pages     = {101-106},
  year      = {2019}}
Download PDFOpen PDF in browser