Research on Driving Behavior Simulation Based on Adaptive Agent
- 10.2991/msam-18.2018.12How to use a DOI?
- traffic simulation; driving behavior; Boid model; adaptive agent
Papers use adaptive thinking and Boid model and Couzin et al. mathematical description Boid model method, described the vehicle as the driver based on the current state of environment and adapt to the individual behavior, the driver's driving process is a process of adapted to the environment of the vehicle. Paper to establish the decision-making behavior of single vehicle adaptive scene adaptability of driving behavior description, to expect goals in the process of driver's driving as decision-making basis, defines the three driving state, and analyzes the driving behavior and decision rules. Simulation results indicate: The behavior changes of the individual adaptive driving vehicles are completely consistent with the characteristics of the macro-traffic flow, showing the cooperative characteristics of the group agent; Individual driving vehicles show good adaptability and self-drive to the change of environment and current traffic condition.; The change of individual driving behavior of the vehicle will have an impact on the adjacent local vehicle individuals; The change of traffic density affects the speed of traffic flow; Bad driving behavior will affect the local and even the whole road traffic speed, can cause the vehicle queue together and split the queue phenomena, things will appear serious traffic queue phenomenon, resulting in a decline in the capacity of the road.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
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Cite this article
TY - CONF AU - Qianjiao Wu AU - Rong Lan AU - Wei Zhou PY - 2018/07 DA - 2018/07 TI - Research on Driving Behavior Simulation Based on Adaptive Agent BT - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018) PB - Atlantis Press SP - 54 EP - 58 SN - 1951-6851 UR - https://doi.org/10.2991/msam-18.2018.12 DO - 10.2991/msam-18.2018.12 ID - Wu2018/07 ER -