Please use this identifier to cite or link to this item:
Title: Prediction of traffic conflicts at signalized intersections using SSAM
Authors: Muley, Deepti 
Ghanim, Mohammad 
Kharbeche, Mohamed 
Keywords: Traffic accidents - Simulation methods;Traffic conflicts - Mathematical models;Traffic conflicts - Simulation methods;Traffic safety;Traffic flow - Simulation methods;Surrogate Safety Assessment Model (SSAM);Pedestrian-vehicle interaction;Pedestrian simulation
Issue Date: 2018
Publisher: Procedia Computer Science
Abstract: The use of microsimulation to model the vehicles movement and pedestrian movements within a traffic network is widely undertaken to test and evaluate operational performance of a traffic network under different traffic conditions and control schemes. However, few studies have used microsimulation techniques to study pedestrian-vehicle interactions and potential conflicts, as safety assessment tool. This paper demonstrates the use of microsimulation environment to predict vehicle-vehicle and pedestrian-vehicle conflicts at signalized intersections. A case study from Doha in the State of Qatar was used as a study site. The real-life conflicts were observed and recorded, along with traffic and pedestrians’ data. The studied intersection is then modeled and calibrated using VISSIM microsimulation tool, where vehicles and pedestrians’ trajectories were generated. Then, Surrogate Safety Assessment Model (SSAM) was used to analyze the simulated trajectories to identify potential conflicts within the study area. The results showed that potential conflicts could be reasonably predicted. Moreover, microsimulation can be used to predict the location of potential conflicts while scenario testing and the results can be determined to assess the impact of geometric improvement in reducing potential conflicts
DOI: 10.1016/j.procs.2018.04.037
Appears in Collections:Fulltext Publications

Files in This Item:
File Description SizeFormat
Prediction of Traffic Conflicts at Signalized Intersections using SSAM.pdf1.22 MBAdobe PDFView/Open
Show full item record

Page view(s)

checked on Jun 18, 2024


checked on Jun 18, 2024

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.