[1] Jia, D., Ngoduy, D.: Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication. Transp. Res. B-Meth. 90, 172–191 (2016) [2] Ali, Y., Zheng, Z., Haque, M.M.: A game theory-based approach for modeling mandatory lanechanging behavior in a connected environment. Transp. Res. B-Emer. 106, 220–242 (2019) [3] Navas, F., Milanés, V.: Mixing V2V-and non-V2V-equipped vehicles in car following. Transp. Res. B-Emer. 108, 167–181 (2019) [4] Kuang, H., Wang, M., Lu, F., Bai, K., Li, X.: An extended car-following model considering multianticipative average velocity effect under V2V environment. Physica A 527, 8, 12126 (2019) [5] Zhai, C., Wu, W., Huang, L.: Collaborative control of coupled map car-following model under heterogeneous connected vehicle environment. Control Theory A 36(1), 96–107 (2019) [6] Du, W., Li, Y., Zhang, J., Yu, J.: Stability analysis of a general nonlinear car-following model. Int. J. Control 96(6), 1461–1469 (2020) [7] Li, X., Wang, Y., Cui, H., Zhu, M., Wang, T.: Stability analysis of complex heterogeneous traffic flow under connected and autonomous environment. J. Transp. Syst. Eng. Inform. Tech. 20(06), 114–120 (2020) [8] Jiao, S., Zhang, S., Zhou, B., Zhang, Z., Xue, L.: An extended car-following model considering the drivers’ characteristics under a V2V communication environment. Sustainability. 12(1552), 1–18 (2020) [9] Wang, X., Qu, X., Li, P.: Simulation analyses of two on-ramp lane arrangements. J. Oper. Res. Soc. China 8, 375–390 (2020) [10] Ma, M., Ma, G., Liang, S.: Density waves in car-following model for autonomous vehicles with backward looking effect. Appl. Math. Model. 94, 1–12 (2021) [11] Xiao, J., Ma, M., Liang, S., Ma, G.: The non-lane-discipline-based car-following model considering forward and backward vehicle information under connected environment. Nonlinear Dyn. 107(3), 2787–2801 (2022) [12] Zhang, X., Zhao, M., Zhang, Y., Sun, D., Li, L.: An improved car-following model based on multiple preceding vehicles under connected vehicles environment. Int. J. Mod. Phys. C 33(05), 2250067 (2022) [13] Du, W., Li, Y., Zhang, J.: Stability analysis and control of an extended car-following model under honk environment. Int. J. Intel. Transp. Syst. Res. 20(1), 1–10 (2022) [14] Qiu, X., Ma, L., Zhou, X., Yang, D.: The mixed traffic flow of manual-automated driving based on safety distance. J. Transp. Syst. Eng. Inform. Tec. 16(4), 101–124 (2016) [15] Qin, Y., Wang, H., Ran, B.: Car-following model of connected and autonomous vehicles considering multiple feedbacks. J. Transp. Syst. Eng. Inform. Tech. 18(3), 48–54 (2018) [16] Yao, Z., Jiang, Y., Wang, Y., Chen, Y.: Discrete model of dynamic heterogeneous traffic flow platoon in internet of vehicles. J. Beijing Jiaotong Univ. 43(02), 107–116 (2019) [17] Wang, J., Liu, Y., Wang, M., Yan, X.: Warning algorithm of vehicle collision avoidance based on driving intention sharing in vehicle-to-vehicle environment. China J. Highw. Transp. 33(06), 65–76 (2020) [18] Wu, B., Wang, W., Li, L., Liu, Y.: Longitudinal control model for connected autonomous vehicles influenced by multiple preceding vehicles. J. Traffic Transp. Eng. 20(2), 184–194 (2020) [19] Chang, X., Li, H., Rong, J., Zhao, X., Wang, Y.: Analysis of capacity for mixed traffic flow with connected vehicle platoon on freeway. J. South China Univ. Technol. 48(4), 142–148 (2020) [20] An, S., Xu, L., Chen, G., Luo, H., Cao, H.: Improved car-following model at signalized intersection based on vehicle-infrastructure cooperation technology. J. Southeast Univ. 50(1), 169–174 (2020) [21] Jia, Y., Qu, D., Lin, L., Yao, R., Ma, X.: Coordinated speed control of connected mixed traffic flow based on trajectory. J. Jilin Univ. 51(06), 2051–2060 (2021) [22] Yao, Z., Gu, Q., Xu, T., Jiang, Y., Tu, D.: Stability of mixed traffic flow with intelligent connected vehicles considering time delay. J. Control Decis. 37(06), 1505–1512 (2022) [23] Bando, M., Hasebe, K., Nakanishi, K., Akihiro, N.: Delay of vehicle motion in traffic dynamics. Jpn. J. Ind. Appl. Math. 17(2), 275–294 (2000) [24] Mahmassani, H.S.: Transportation and traffic theory: flow, dynamics and human interaction. Asian Card. Thorac. An. 17(1), 13–21 (2005) [25] Sipahi, R., Niculescu, S.I.: Analytical stability study of a deterministic car following model under multiple delay interactions. IFAC Proc. 39(10), 187–192 (2006) [26] Sipahi, R., Niculescu, S.I.: Some remarks on the characterization of delay interactions in deterministic car following models. In: 17th International Symposium on Mathematical Theory of Networks and Systems (MTNS). pp. 24–28 (2006) [27] Bando, M., Hasebe, K., Nakayama, A., Shibata, A., Sugiyama, Y.: Dynamical model of traffic congestion and numerical simulation. Phys. Rev. E. 51(2), 1035–1042 (1995) [28] Jiang, R., Wu, Q., Zhu, Z.: Full velocity difference model for a car-following theory. Phys. Rev. E. 64(1 Pt 2), 017101 (2001) [29] Xu, Z.P.: Dynamic Modeling and Stability Analysis of Traffic Flow with Consideration of Driving Behavior Characteristics. Guangxi Normal University, Guilin (2017) [30] Zubov, V.I.: Oscillations in Nonlinear and Controlled Systems. Sudpromgiz, Leningrad (1962) [31] Zubov, V.I.: Theory of Optimal Control of Ships and Other Moving Objects. Sudpromgiz, Leningrad (1966) [32] Veremey, E.I.: On practical application of Zubov’s optimal damping concept. Vestnik St. Petersburg Univ. Appl. Math. Comput. Sci. Control Proc. 16(3), 293–315 (2020) [33] Boyd, S., Ghaoui, L.E., Feron, E., Balakrishnan, V.: Linear Matrix Inequalities in System and Control Theory. Academia, Siam (1994) |