Formation Mechanism and Analysis of Intelligent Connected Vehicles Fleet under Meta-Cellular Automata Simulation Conditions

[1] Li, W. L. X. (2019). Adaptive tracking control for networked control systems of intelligent vehicle. Information Sciences: An International Journal, 503. Search in Google Scholar

[2] Chen, S., & Du, L. (2017). Simulation study of the impact of local real-time traffic information provision strategy in connected vehicle systems. International Journal of Transportation Science and Technology, 6( 4), 229-239. Search in Google Scholar

[3] Yang, Z., & He, Z. (2018). Application of Improved Genetic Algorithm in Vehicle Networked Cloud Data Platform. International Conference on Intelligent Transportation (pp.5-8). IEEE. Search in Google Scholar

[4] Ranka, S. (2017). BigDF Keynote: Intelligent Intersection Control Algorithms for Automated and Connected Vehicles. 2017 IEEE 24th International Conference on High Performance Computing Workshops (HiPCW). IEEE Computer Society. Search in Google Scholar

[5] Tian, B., Morris, B. T., Tang, M., Liu, Y., Yao, Y., & Gou, C., et al. (2017). Hierarchical and networked vehicle surveillance in its: a survey. IEEE Transactions on Intelligent Transportation Systems, 18(2), 25-48. Search in Google Scholar

[6] Bailin, F., Yi, Z., Ye, C., & Lingbei, M. (2022). Intelligent vehicle lateral control based on radial basis function neural network sliding mode controller. CAAI Transactions on Intelligence Technology. Search in Google Scholar

[7] Luo, J., Li, S., Li, H., & Xia, F. (2022). Intelligent network vehicle driving risk field modeling and path planning for autonomous obstacle avoidance. Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science. Search in Google Scholar

[8] Wang, Y., Feng, Y., & Sun, H. (2021). Research on vehicle intelligent wireless location algorithm based on convolutional neural network. Springer London(14). Search in Google Scholar

[9] Wahlström, Johan. (2017). Sensor fusion for intelligentphone-based vehicle telematics. Search in Google Scholar

[10] Li, Z., Yu, G., & Tsai, S. B. (2022). Data transmission control of vehicle ad hoc network in intelligent transportation systems for intelligent cities. Journal of advanced transportation. Search in Google Scholar

[11] Zou, B., Gao, M., & Cui, X. (2017). Research on Information Security Framework of Intelligent Connected Vehicle. International Conference on Cryptography (pp.91-95). ACM. Search in Google Scholar

[12] Slavkovic, N. M., Zajic, G., Gavrovska, A., Reljin, I. S., Reljin, B. D., & Bjelica, M. (2018). Integrating Mobile Vehicle Sensor Diagnostic Procedures into the Intelligent Transportation Network. Symposium on Neural Network Applications in Electrical Engineering. Search in Google Scholar

[13] Hu, X., Huang, M., & Guo, J. (2020). Feature analysis on mixed traffic flow of manually driven and autonomous vehicles based on cellular automata. Mathematical Problems in Engineering, 2020(4), 1-7. Search in Google Scholar

[14] Zhang, R., Ishikawa, A., Wang, W., Striner, B., & Tonguz, O. K. (2020). Using reinforcement learning with partial vehicle detection for intelligent traffic signal control. IEEE Transactions on Intelligent Transportation Systems, PP(99), 1-12. Search in Google Scholar

[15] Granda, F., Azpilicueta, L., Vargas-Rosales, C., Celaya-Echarri, M., & Falcone, F. (2018). Deterministic propagation modeling for intelligent vehicle communication in intelligent cities. Sensors, 18(7), 2133. Search in Google Scholar

[16] Regragui, Y., & Moussa, N. (2018). A cellular automata model for urban traffic with multiple roundabouts. Chinese Journal of Physics, S0577907317314533. Search in Google Scholar