Traffic Simulation Modeling for Major Intersection

Yıl 2020, Cilt: 24 Sayı: 1, 37 - 44, 01.02.2020

Ahmed Bakhsh

https://doi.org/10.16984/saufenbilder.490984

Cited By: 5

Öz

The computer simulation is a widespread in industry to support
decisions and to approximate systems performance that is not easy to be
analyzed. The real decisions often encounter optimization of multiple and
opposing, objectives. It is common for transportation problems to be addressed
by simulation modeling that use traditional analytical ways. Different kinds of
models are investigated depend on the studied problem. This paper examines
traffic control mean in terms of the performance measures when utilized in an
urban area intersection, i.e. which design minimizes total time in system and
waiting time while maximizing number of vehicles out. Simulation models for the
base and alternatives are considered in comparison for the best results.

Anahtar Kelimeler

Traffic control, Traffic lights, Roundabout, Urban area, DES, Arena

Kaynakça

• “Article Number 88324,” Arab News, 2006. [Online]. Available: http://www.arabnews.com/?page=1&section=0&article=88324&d=17&m=10&y=2006&pix=kingdom.jpg&category=Kingdom. [Accessed: 25-Jan-2009].
• M. F. Hocaoğlu and İ. Kandemir, “Agent-based Dynamically Reconfigurable Missile Modelling,” Sak. Univ. J. Sci., vol. 22, no. 5, pp. 1–1, Oct. 2018.
• G. Monnickendam and C. de Asmundis, “Why the distribution matters: Using discrete event simulation to demonstrate the impact of the distribution of procedure times on hospital operating room utilisation and average procedure cost,” Oper. Res. Heal. Care, vol. 16, pp. 20–28, Mar. 2018.
• M. Groot, “Optimize Landside Airport Operations Using A Discrete Event Simulation,” Delft University of Technology, 2018.
• B. Yu, S. Wang, X. Gu, F. Ni, and Q. Liu, “Environmental burden evaluation of hot in-place recycling of asphalt pavement based on discrete event simulation,” Transp. Res. Part D Transp. Environ., vol. 65, pp. 151–160, Dec. 2018.
• M. Abdelkhak, S. Salama, and A. B. Eltawil, “Improving Efficiency of TV PCB Assembly Line Using a Discrete Event Simulation Approach,” in Proceedings of the 10th International Conference on Computer Modeling and Simulation - ICCMS 2018, 2018, pp. 211–215.
• C. Liu and M. J. Kochenderfer, “Analyzing Traffic Delay at Unmanaged Intersections,” Cornell Univ. Libr., May 2018.
• M. Bin Saleh Mehdi, M. Iqbal Faheem, and M. Minhajuddin Aquil, “DESIGN OF TRAFFIC RESPONSIVE PLAN SIGNALS AT SIGNALIZED INTERSECTION,” 2018.
• Z. Li, R. Jia, and J. Huang, “The simulation model on delay time of road accessibility based on intelligent traffic control system,” Cluster Comput., pp. 1–11, Jan. 2018.
• O. Giuffrè, A. Granà, M. L. Tumminello, and A. Sferlazza, “Capacity-based calculation of passenger car equivalents using traffic simulation at double-lane roundabouts,” Simul. Model. Pract. Theory, vol. 81, pp. 11–30, Feb. 2018.
• D. Yuniawan, P. . Aang Fajar, S. Hariyanto, and R. Setiawan, “Traffic queue modeling using arena simulation software (a case study of Mergan 4-Way intersection in Malang City),” MATEC Web Conf., vol. 204, p. 2009, Sep. 2018.
• T. J. Schriber, D. T. Brunner, and J. S. Smith, “Inside discrete-event simulation software: how IT works and why it matters,” Proceedings of the 2014 Winter Simulation Conference. IEEE Press, pp. 132–146, 2014.
• D.-U. Kim, M.-S. Jie, and W.-H. Choi, “Airport Simulation Development Using Arena,” Adv. Sci. Technol. Lett., vol. 149, pp. 5–8, 2018.
• A. Watanapa and W. Wiyaratn, “Improvement of Rubber Smoked Sheet Plant using Arena Layout for Increasing Productivity,” in the International MultiConference of Engineers and Computer Scientists, 2018.
• B. R. Habeeb, Z. Guo, and X. Song, “A Simulation Model to Determine the Capacity of a Y-Type Waterway Intersection for a Real Seaport,” Open Transp. J., vol. 12, no. 1, pp. 8–20, Jan. 2018.
• “Roadway Systems & Drivers Archives - AAA Foundation.” [Online]. Available: http://aaafoundation.org/category/roadway-systems-drivers/. [Accessed: 15-Oct-2018].