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All issues Volume 582 (2024) E3S Web Conf., 582 (2024) 04001 References
Open Access
Issue
E3S Web Conf.
Volume 582, 2024
1st International Conference on Materials Sciences and Mechatronics for Sustainable Energy and the Environment (MSMS2E 2024)
Article Number 04001
Number of page(s) 12
Section Internet of Things & Artificial Intelligence (IoT & AI) in Energy
DOI https://doi.org/10.1051/e3sconf/202458204001
Published online 22 October 2024
  1. M. Sasaki, T. Nagatani. Transition and saturation of traffic flow controlled by traffic lights. Physica A Stat. Mech. Appl. 325, 531 (2003). [CrossRef] [Google Scholar]
  2. S. Lammer, D. Helbing. Self-control of Traffic Lights and Vehicle Flows in Urban Road Networks. J. Stat. Mech. Theor. Exp. 4, P04019 (2008). [Google Scholar]
  3. E. Brockfel, R. Barlovic, A. Schadschneider, M. Schreckenberg. Optimizing traffic lights in a cellular automaton model for city traffic. Phys. Rev. E. 64, 056132 (2001). [CrossRef] [Google Scholar]
  4. K. Tabita, T. Nagatani. Traffic Behavior in CA Model of Vehicular Traffic through a Series of Signals. Discret. dyn. nat. soc. 2012, 1 (2012). [Google Scholar]
  5. C. -F. Daganzo, N. Geroliminis, An analytical approximation for the macroscopic fundamental diagram of urban traffic. Transp. Res. B Methodol. 42, 771 (2008). [CrossRef] [Google Scholar]
  6. A. Varas, M.-D. Cornejo, B. -A. Toledo, V. Muñoz, J. Rogan, R. Zarama, A. Valdivia. Resonance, criticality, and emergence in city traffic investigated in cellular automaton models. Phys. Rev. E. 80, 056108 (2009). [CrossRef] [PubMed] [Google Scholar]
  7. L. Zhang, C. Finn, T.-M. Garoni, J. Gier. Behaviour of traffic on a link with traffic light boundaries. Physica A Stat. Mech. Appl. 503(23), 116–138 (2018). [CrossRef] [Google Scholar]
  8. G. Jan de, M.-G. Timothy, R. Omar. Traffic flow on realistic road networks with adaptive traffic lights. J. Stat. Mech. Theor. Exp. 2011, P04008 (2011). [Google Scholar]
  9. N. Geroliminis, B. Boyac. The effect of variability of urban systems characteristics in the network capacity. Transp. Res. B Methodol. 46, 1607 (2012). [CrossRef] [Google Scholar]
  10. W.-L. Jin, Q. -J. Gan, V.-V. Gayah. A kinematic wave approach to traffic statics and dynamics in a double-ring network. Transp. Res. B Methodol. 57, 114 (2013). [CrossRef] [Google Scholar]
  11. L. Leclercq, N. Geroliminis. Estimating MFDs in simple networks with route choice. Transp. Res. B Methodol. 57, 468 (2013). [CrossRef] [Google Scholar]
  12. L. Leclercq, N. Chiabaut, B. Trinquier. Macroscopic Fundamental Diagrams: A crosscomparison of estimation methods. Transp. Res. B Methodol. 62, 1 (2014). [CrossRef] [Google Scholar]
  13. A. Laval, F. Castrillon. Stochastic Approximations for the Macroscopic Fundamental Diagram of Urban Networks. Transp Res Rec. 7, 615 (2015). [Google Scholar]
  14. L. Leclercq, N. Chiabaut, B. Trinquier. Macroscopic Fundamental Diagrams: A crosscomparison of estimation methods. Transp. Res. B Methodol. 62, 1 (2014). [CrossRef] [Google Scholar]
  15. M. Rickert, K. Nagel, M. Schreckenberg, A. Latour. Two lane traffic simulations using cellular automata. Physica A: Statistical Mechanics and its Applications. 231, 534 (1996). [CrossRef] [Google Scholar]
  16. Chowdhury D, Wolf D.E, Schreckenberg M. Particle hopping models for two-lane traffic with two kinds of vehicles: Effects of lane-changing rules. Physica A Stat. Mech. Appl. 235, 417 (1997). [CrossRef] [Google Scholar]
  17. W. Knospe, L. Santen, A. Schadschneider, M. Schreckenberg. Towards a realistic microscopic description of highway traffic. Phys. A Math. Gen. 33, 103 (1999). [Google Scholar]
  18. N. Moussa, A. -K. Daoudia. Numerical study of two classes of cellular automaton models for traffic flow on a two-lane roadway. Eur. Phys. J. B. 31, 413 (2003). [CrossRef] [Google Scholar]
  19. Li X.G, Jia B, Gao Z.Y, Jiang R, A realistic two-lane cellular automata traffic model considering aggressive lane-changing behavior of fast vehicle. Physica A Stat. Mech. Appl. 367, 479 (2006). [CrossRef] [Google Scholar]
  20. K. Nagel, M.-J. Schreckenberg. A cellular automaton model for freeway traffic. J. Phys. I. 2, 2221 (1992). [Google Scholar]
  21. M. -J. Cassidy, R. -L. Bertini. Some traffic features at freeway bottlenecks. Transp. Res. B Methodol. 33, 25 (1999). [CrossRef] [Google Scholar]
  22. Z. Fang, Li. Fuzhou, Li. Ruolan, Z. Zhou, L. Guanmin, J. Wen, Yi. Zheng, 9th International Conference on Computer Science & Education, Vancouver, BC. 2014, 647 (2014). [Google Scholar]
  23. H. Binoua, H. Ez-Zahraouy, A. Khallouk, N. Lakouari. Carbon dioxide emission in a single-lane cellular automaton model with a series of traffic lights. Int. J. Mod. Phys. C. 31, 2050154 (2020). [CrossRef] [Google Scholar]

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