Performance analysis to evaluate overtaking behavior on highways

Yeon, 2008, Travel time estimation on a freeway using discrete time Markov chains, Transp. Res. B, 42, 325, 10.1016/j.trb.2007.08.005 J.-X. Ding, H.-J. Huang, Q. Tian, A Mixed Traffic Flow Model Based on a Modified Cellular Automaton in Two-Lane System, in: 2009 International Joint Conference on Computational Sciences and Optimization. Nageland, 1992, A cellular automata model for traffic flow, J. Physique, 2, 2221 Z. Zhang, Y. Yang, W. Qi, A. Chariete, X. Lin, A Cellular Automata Traffic Flow Model considering Bus Lane Changing Behavior with Scheduling Parameters, Discrete Dyn. Nat. Soc. 2015, 348582. Yi, 2007, Modeling mixed traffic flow at crosswalks in micro-simulations using cellular automata, Tsinghua Sci. Technol., 12, 214, 10.1016/S1007-0214(07)70030-5 J. Sun, C. Li, J. Ding, J. Yang, Z. Liu, A Markov Chain Based Traffic Flow Control Model for Reducing Vehicles’ CO2 Emissions, in: Proceedings of the 2015 IEEE International Conference on Vehicular Electronics and Safety, Yokohama, Japan. Nov., 2015, pp. 5–7. Izadi, 2021, Modeling and evaluation of the impact of motorcycles mobility on vehicular traffic, J. Transp. Technol., 11, 426 Mardiati, 2018, Motorcycle movement model based on Markov chain process in mixed traffic, Int. J. Electr. Comput. Eng. (IJECE), 8, 3149, 10.11591/ijece.v8i5.pp3149-3157 Yan, 2021, Mobility prediction using aweighted Markov model based on mobile user classification, Sensors, 21, 1740, 10.3390/s21051740 S.H., 2013, Mobility prediction via Markov model in LTE femtocell, Int. J. Comput. Appl., 65, 40 Abu-Ghazaleh, 2010, Application of mobility prediction in wireless networks using Markov renewal theory, IEEE Trans. Veh. Technol., 59, 788, 10.1109/TVT.2009.2037507 J. Zenkert, M. Dornhofer, C. Weber, Charly Ngoukam, Madjid Fathi, Big data analytics in smart mobility: Modeling and analysis of the Aarhus smart city dataset, in: Industrial Cyber-Physical Systems, ICPS, 2018. Kezia et K. V. Anusuya, 2022, Mobility models for Internet of Vehicles: A survey, Wirel. Pers. Commun., 1857 Z. Lv, J. Xu, K. Zheng, H. Yin, P. Zhao, X. Zhou, LC-RNN: A Deep Learning Model for Traffic Speed Prediction, in: Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-2018. Ding, 2021, An extended car-following model in connected and autonomous vehicle environment: Perspective from the cooperation between drivers. Hindawi El Joubari, 2022, Markov chain mobility model for multi-lane highways, Mob. Networks Appl., 27, 1286, 10.1007/s11036-021-01893-4 O. El Joubari, J. Ben Othman, V. Vèque, A Stochastic Traffic Model for Congestion Detection in Multi-lane Highways, in: ADHOCNETS, 2020, pp. 87–99. O. El Joubari, J. Ben Othman, V. Vèque, Continuous Time Markov Chain Traffic Model for Urban Environments, in: GLOBECOM, 2020, pp. 1–6. El Joubari, 2022, A stochastic mobility model for traffic forecasting in urban environments, J. Parallel Distrib. Comput., 165, 142, 10.1016/j.jpdc.2022.03.005 O. El Joubari, J. Ben Othman, V. Vèque, TA- TDMA: A traffic aware TDMA MAC protocol for safety applications in VANET, in: ISCC 2021, pp. 1–8. O. El Joubari, J. Ben Othman, V. Vèque, Queuing theory based simulation model for vehicular mobility, in: ICC 2021, pp. 1–6.