EN
TR
Analysis Of Autonomous Vehicles Traffic Behaviour In Terms Of Various Vehicle Following Models On Kavacik Sample
Abstract
Autonomous vehicles are evaluated as future transport mode. Autonomous vehicles use electrical energy for driving. Shifting electricity use on transport on widely is going to effect worldwide policies on energy sector and sustainability framework in deeply. Autonomous vehicles will be a new transformer on this century’s transportation and urbanization. But thus will be with gradual penetration of this mode for decades. This is a political, eoconomical and technical necessity. In this paper firstly existing transportation and urbanization trends are revelaed then development period and existing case of autonomous vehicles are evaluated. Traffic analyse related to basic features of autonomous vehicles on the context of penetration is executed. This analyse is constituted on VISSIM programme. For this, traffic countings are utilized which have been done on highway in Beykoz (Kavacık)/İstanbul at related dates. Detailed analyse and comparative evaluation were done on the bases of Wiedemann 74 and Wiedemann 99 models. Autonomous vehicle was defined in terms of Wiedemann 99 following principles. Defined autonomous vehicle is inserted to programme in terms of penetration rates and each of them is examined on a scenario. In this context results are given.
Keywords
References
- Al-Turki, M., Ratrout, N. T., Rahman, S. M., & Reza, I. (2021). Impacts of autonomous vehicles on traffic flow characteristics under mixed traffic environment: Future perspectives. Sustainability, 13(19), 11052. https://doi.org/10.3390/su131911052
- Besa Vial, J. J., Devanny, W. E., Eppstein, D., & Goodrich, M. T. (2016). Scheduling autonomous vehicle platoons through an unregulated intersection. In 16th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2016) (Vol. 54, pp. 5:1–5:14). Schloss Dagstuhl–Leibniz-Zentrum für Informatik. https://doi.org/10.4230/OASIcs.ATMOS.2016.5
- Cantarella, G. E., & Di Febbraro, A. (2017). Transportation systems with autonomous vehicles: Models and algorithms for equilibrium assignment. Transportation Research Procedia, 27, 349–356. https://doi.org/10.1016/j.trpro.2017.12.090.
- Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., & Schiele, B. (2016). The Cityscapes dataset for semantic urban scene understanding. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3213–3223). IEEE. https://doi.org/10.1109/CVPR.2016.350.
- Ekehult, J. (2020). Risk analysis of software execution in an autonomous driving system [Master’s thesis, KTH Royal Institute of Technology]. DiVA. KTH/DiVA record.
- Fernandes, P., & Nunes, U. (2010). Platooning of autonomous vehicles with intervehicle communications in SUMO traffic simulator. In 2010 13th International IEEE Conference on Intelligent Transportation Systems (ITSC) (pp. 1313–1318). IEEE. https://doi.org/10.1109/ITSC.2010.5625277.
- Forrest, A., & Konca, M. (2007). Autonomous cars and society. Worcester Polytechnic Institute.
- Goldbeck, J., Huertgen, B., Ernst, S., & Kelch, L. (2000). Lane following combining vision and DGPS. Image and Vision Computing, 18(5), 425–433. https://doi.org/10.1016/S0262-8856(99)00037-2.
Details
Primary Language
English
Subjects
Regional Economy, Developmental Economy - Micro, Urban Economy, Industrial Economy
Journal Section
Research Article
Authors
Publication Date
September 23, 2026
Submission Date
August 25, 2025
Acceptance Date
April 8, 2026
Published in Issue
Year 2026 Volume: 26 Number: 4
APA
Kızıltaş, M. Ç. (2026). Analysis Of Autonomous Vehicles Traffic Behaviour In Terms Of Various Vehicle Following Models On Kavacik Sample. Ege Academic Review, 26(4), 711-726. https://doi.org/10.21121/eab.202600244
AMA
1.Kızıltaş MÇ. Analysis Of Autonomous Vehicles Traffic Behaviour In Terms Of Various Vehicle Following Models On Kavacik Sample. ear. 2026;26(4):711-726. doi:10.21121/eab.202600244
Chicago
Kızıltaş, Mehmet Çağrı. 2026. “Analysis Of Autonomous Vehicles Traffic Behaviour In Terms Of Various Vehicle Following Models On Kavacik Sample”. Ege Academic Review 26 (4): 711-26. https://doi.org/10.21121/eab.202600244.
EndNote
Kızıltaş MÇ (September 1, 2026) Analysis Of Autonomous Vehicles Traffic Behaviour In Terms Of Various Vehicle Following Models On Kavacik Sample. Ege Academic Review 26 4 711–726.
IEEE
[1]M. Ç. Kızıltaş, “Analysis Of Autonomous Vehicles Traffic Behaviour In Terms Of Various Vehicle Following Models On Kavacik Sample”, ear, vol. 26, no. 4, pp. 711–726, Sept. 2026, doi: 10.21121/eab.202600244.
ISNAD
Kızıltaş, Mehmet Çağrı. “Analysis Of Autonomous Vehicles Traffic Behaviour In Terms Of Various Vehicle Following Models On Kavacik Sample”. Ege Academic Review 26/4 (September 1, 2026): 711-726. https://doi.org/10.21121/eab.202600244.
JAMA
1.Kızıltaş MÇ. Analysis Of Autonomous Vehicles Traffic Behaviour In Terms Of Various Vehicle Following Models On Kavacik Sample. ear. 2026;26:711–726.
MLA
Kızıltaş, Mehmet Çağrı. “Analysis Of Autonomous Vehicles Traffic Behaviour In Terms Of Various Vehicle Following Models On Kavacik Sample”. Ege Academic Review, vol. 26, no. 4, Sept. 2026, pp. 711-26, doi:10.21121/eab.202600244.
Vancouver
1.Mehmet Çağrı Kızıltaş. Analysis Of Autonomous Vehicles Traffic Behaviour In Terms Of Various Vehicle Following Models On Kavacik Sample. ear. 2026 Sep. 1;26(4):711-26. doi:10.21121/eab.202600244