, Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles

S. Hetrick, Examination of driver lane change behavior and the potential effectiveness of warning onset rules for lane change or "side" crash avoidance systems. Dissertation, 1997.

P. Hidas, Modeling vehicle interactions in microscopic simulation of merging and weaving, Transportation Research Part C: Emerging Technologies, vol.13, issue.1, pp.37-62, 2005.

M. L. Ho, P. T. Chan, and A. B. Rad, Lane Change Algorithm for Autonomous Vehicles via Virtual Curvature Method, Journal of Advanced Transportation, vol.43, issue.1, pp.47-70, 2007.

Y. Choi, K. Lim, and J. Kim, Lane Change and Path Planning of Autonomous Vehicles using GIS, 12 th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2015.

X. Qian, A. De-la-fortelle, and F. Moutarde, A hierarchical model predictive control framework for on-road formation control of autonomous vehicles, Intelligent Vehicles Symposium (IV), pp.376-381, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01298637

C. Vallon, Z. Ercan, A. Carvalho, and F. Borrelli, A machine learning approach for personalized autonomous lane change initiation and control, IEEE Intelligent Vehicles Symposium (IV), 2017.

H. Bi, T. Mao, Z. Wang, and Z. Deng, A Data-driven Model for Lanechanging in Traffic Simulation, Eurographics/ ACM SIGGRAPH Symposium on Computer Animation, 2016.

G. Zhenhai and W. Bing, An Adaptive PID Controller with Neural Network Self-Tuning for Vehicle Lane Keeping System, SAE Technical Paper, 1482.

J. Schulman, P. Moritz, S. Levine, M. I. Jordan, and P. Abbeel, HighDimensional Continuous Control Using Generalized Advantage Estimation, 2015.

J. Schulman, S. Levine, P. Moritz, and M. I. Jordan, Trust Region Policy Optimization, 2015.

A. Yu, R. Palefsky-smith, and R. Bedi, Deep reinforcement learning for simulated autonomous vehicle control, 2016.

A. Sallab, M. Abdou, E. Perot, and S. Yogamani, End-to-End Deep Reinforcement Learning for Lane Keeping Assist, 30th Conference on Neural Information Processing Systems (NIPS), 2016.

P. Wang and C. Chan, Formulation of Deep Reinforcement Learning Architecture Toward Autonomous Driving for On-Ramp Merge, IEEE 20th International Conference on ITS, 2017.

R. S. Sutton and A. G. Barto, Book: Reinforcement Learning: An Introduction, 2016.

P. G. Gipps, A model for the structure of lane-changing decisions, Transportation Research Part B: Methodological, vol.20, pp.403-414, 1986.

S. Adam, L. Busoniu, and R. Babus?ka, Experience replay for realtime reinforcement learning control, IEEE Transactions on Systems, vol.42, issue.2, pp.201-212