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المؤلفDeepti, Muley
المؤلفGhanim, Mohammad
المؤلفKharbeche, Mohamed
تاريخ الإتاحة2022-10-29T08:54:17Z
تاريخ النشر2018-12-31
اسم المنشورProcedia Computer Science
المعرّفhttp://dx.doi.org/10.1016/j.procs.2018.04.037
الاقتباسMuley, D., Ghanim, M., & Kharbeche, M. (2018). Prediction of traffic conflicts at signalized intersections using SSAM. Procedia computer science, 130, 255-262.
الرقم المعياري الدولي للكتاب18770509
معرّف المصادر الموحدhttps://www.sciencedirect.com/science/article/pii/S1877050918303880
معرّف المصادر الموحدhttp://hdl.handle.net/10576/35552
الملخصThe 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.
راعي المشروعThis publication was made possible by an NPRP award [NPRP 8-365-2-150] from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
اللغةen
الناشرElsevier
الموضوعTraffic conflicts
microscopic simulation
surrogate safety assessment model
pedestrian-vehicle interaction
pedestrian simulation
العنوانPrediction of Traffic Conflicts at Signalized Intersections using SSAM
النوعArticle
الصفحات255-262
رقم المجلد130
Open Access user License http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.accessType Open Access


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