Research on Traffic Breakdown Phenomenon at Signalized Intersection Based on Cellular Automata
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3682-9_24
Reference10 articles.
1. Yazdani, M., et al.: Intelligent vehicle pedestrian light (IVPL): a deep reinforcement learning approach for traffic signal control. Transp. Res. Part C: Emerg. Technol. 149, 103991 (2023)
2. Kerner, B.S.: The physics of green-wave breakdown in a city. Europhys. Lett. 102(2), 28010 (2013)
3. Jiang, R., et al.: A new mechanism for metastability of under-saturated traffic responsible for time-delayed traffic breakdown at the signal. Comput. Phys. Commun. 185(5), 1439–1442 (2014)
4. Wang, Y., Chen, Y.-Y.: Modeling the effect of microscopic driving behaviors on Kerner’s time-delayed traffic breakdown at traffic signal using cellular automata. Physica A 463, 12–24 (2016)
5. Kerner, B.: Physics of traffic gridlock in a city. Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 84, 045102 (2011)
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