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[1] M J Lighthill,et al. On kinematic waves II. A theory of traffic flow on long crowded roads , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.
[2] P. I. Richards. Shock Waves on the Highway , 1956 .
[3] R. Bellman. A Markovian Decision Process , 1957 .
[4] Ronald A. Howard,et al. Dynamic Programming and Markov Processes , 1960 .
[5] Ronald A. Howard,et al. Dynamic Programming and Markov Processes , 1960 .
[6] P. G. Gipps,et al. A behavioural car-following model for computer simulation , 1981 .
[7] P Spaulding,et al. NATIONAL TRANSPORTATION STATISTICS , 1983 .
[8] Panos G. Michalopoulos,et al. Multilane traffic flow dynamics: Some macroscopic considerations , 1984 .
[9] A. Fuze,et al. Reconstruction of 3-D Road Geometry from Images for Autonomous Land Vehicles , 1990 .
[10] Zvi Shiller,et al. Dynamic motion planning of autonomous vehicles , 1991, IEEE Trans. Robotics Autom..
[11] Petros A. Ioannou,et al. Autonomous intelligent cruise control , 1993 .
[12] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[13] K. Hasebe,et al. Structure stability of congestion in traffic dynamics , 1994 .
[14] Nakayama,et al. Dynamical model of traffic congestion and numerical simulation. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[15] Sergey V. Drakunov,et al. ABS control using optimum search via sliding modes , 1995, IEEE Trans. Control. Syst. Technol..
[16] D. Swaroop,et al. String Stability Of Interconnected Systems: An Application To Platooning In Automated Highway Systems , 1997 .
[17] Stefan Schaal,et al. Robot Learning From Demonstration , 1997, ICML.
[18] Axel Klar,et al. A Hierarchy of Models for Multilane Vehicular Traffic I: Modeling , 1998, SIAM J. Appl. Math..
[19] Hugh F. Durrant-Whyte,et al. A high integrity IMU/GPS navigation loop for autonomous land vehicle applications , 1999, IEEE Trans. Robotics Autom..
[20] Carlos F. Daganzo,et al. A BEHAVIORAL THEORY OF MULTI-LANE TRAFFIC FLOW. PART I, LONG HOMOGENEOUS FREEWAY SECTIONS , 1999 .
[21] Mike McDonald,et al. Car-following: a historical review , 1999 .
[22] Yishay Mansour,et al. Policy Gradient Methods for Reinforcement Learning with Function Approximation , 1999, NIPS.
[23] Markos Papageorgiou,et al. OPTIMAL COORDINATED AND INTEGRATED MOTORWAY NETWORK TRAFFIC CONTROL , 1999 .
[24] Huei Peng,et al. String stability analysis of adaptive cruise controlled vehicles , 2000 .
[25] Helbing,et al. Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[26] Hugh F. Durrant-Whyte,et al. A solution to the simultaneous localization and map building (SLAM) problem , 2001, IEEE Trans. Robotics Autom..
[27] Sebastian Thrun,et al. Probabilistic robotics , 2002, CACM.
[28] A. Sasoh,et al. Shock Wave Relation Containing Lane Change Source Term for Two-Lane Traffic Flow , 2002 .
[29] Rajesh Rajamani,et al. Semi-autonomous adaptive cruise control systems , 2002, IEEE Trans. Veh. Technol..
[30] Shuzhi Sam Ge,et al. Autonomous vehicle positioning with GPS in urban canyon environments , 2001, IEEE Trans. Robotics Autom..
[31] Petros A. Ioannou,et al. Analysis of traffic flow with mixed manual and semiautomated vehicles , 2003, IEEE Trans. Intell. Transp. Syst..
[32] Keith Redmill,et al. Automated lane change controller design , 2003, IEEE Trans. Intell. Transp. Syst..
[33] Wang,et al. Review of road traffic control strategies , 2003, Proceedings of the IEEE.
[34] Azim Eskandarian,et al. Research advances in intelligent collision avoidance and adaptive cruise control , 2003, IEEE Trans. Intell. Transp. Syst..
[35] J.K. Hedrick,et al. Heavy-duty truck control: short inter-vehicle distance following , 2004, Proceedings of the 2004 American Control Conference.
[36] Alexander Skabardonis,et al. Traffic Analysis Toolbox Volume III: Guidelines for Applying Traffic Microsimulation Modeling Software , 2004 .
[37] Gordon D. B. Cameron,et al. PARAMICS—Parallel microscopic simulation of road traffic , 1996, The Journal of Supercomputing.
[38] Pieter Abbeel,et al. Apprenticeship learning via inverse reinforcement learning , 2004, ICML.
[39] S E Shladover,et al. Automated vehicles for highway operations (automated highway systems) , 2005 .
[40] Petros A. Ioannou,et al. Evaluation of ACC vehicles in mixed traffic: lane change effects and sensitivity analysis , 2005, IEEE Transactions on Intelligent Transportation Systems.
[41] Christos Dimitrakakis,et al. TORCS, The Open Racing Car Simulator , 2005 .
[42] Mauro Garavello,et al. Traffic flow on networks : conservation laws models , 2006 .
[43] Bart van Arem,et al. The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics , 2006, IEEE Transactions on Intelligent Transportation Systems.
[44] Y. Sugiyama,et al. Traffic jams without bottlenecks—experimental evidence for the physical mechanism of the formation of a jam , 2008 .
[45] Mao-Bin Hu,et al. Traffic Flow Characteristics in a Mixed Traffic System Consisting of ACC Vehicles and Manual Vehicles: A Hybrid Modeling Approach , 2009 .
[46] Peter Stone,et al. A Multiagent Approach to Autonomous Intersection Management , 2008, J. Artif. Intell. Res..
[47] Alexander Skabardonis,et al. Oversaturated Freeway Flow Algorithm for Use in Next Generation Simulation , 2008 .
[48] Javier Minguez,et al. Extending Collision Avoidance Methods to Consider the Vehicle Shape, Kinematics, and Dynamics of a Mobile Robot , 2009, IEEE Transactions on Robotics.
[49] Josep Perarnau,et al. Traffic Simulation with Aimsun , 2010 .
[50] Peter Vortisch,et al. Microscopic Traffic Flow Simulator VISSIM , 2010 .
[51] Gábor Stépán,et al. Traffic jams: dynamics and control , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[52] Elen Twrdy,et al. Optimal velocity functions for car-following models , 2010 .
[53] Gábor Orosz,et al. Delayed car-following dynamics for human and robotic drivers , 2011 .
[54] Eleni I. Vlahogianni,et al. Statistical methods versus neural networks in transportation research: Differences, similarities and some insights , 2011 .
[55] Daniel Krajzewicz,et al. Recent Development and Applications of SUMO - Simulation of Urban MObility , 2012 .
[56] Vicente Milanés Montero,et al. Intelligent automatic overtaking system using vision for vehicle detection , 2012, Expert Syst. Appl..
[57] Emilio Frazzoli,et al. Robotic load balancing for mobility-on-demand systems , 2012, Int. J. Robotics Res..
[58] Stephen F. Smith,et al. Schedule-driven intersection control , 2012 .
[59] Yuval Tassa,et al. MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[60] Alex Graves,et al. Playing Atari with Deep Reinforcement Learning , 2013, ArXiv.
[61] Berthold K. P. Horn,et al. Suppressing traffic flow instabilities , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).
[62] Susan Shaheen,et al. Dynamic Ecodriving in Northern California: Study of Survey and Vehicle Operations Data from Ecodriving Feedback Device , 2013 .
[63] Martin Treiber,et al. Traffic Flow Dynamics , 2013 .
[64] Gábor Orosz,et al. Dynamics of connected vehicle systems with delayed acceleration feedback , 2014 .
[65] Emilio Frazzoli,et al. Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore , 2014 .
[66] Kyongsu Yi,et al. Lane-keeping assistance control algorithm using differential braking to prevent unintended lane departures , 2014 .
[67] Zuduo Zheng,et al. Recent developments and research needs in modeling lane changing , 2014 .
[68] Ruzena Bajcsy,et al. Lane Keeping Assistance with Learning-Based Driver Model and Model Predictive Control , 2014 .
[69] Jun-ichi Imura,et al. Smart Driving of a Vehicle Using Model Predictive Control for Improving Traffic Flow , 2014, IEEE Transactions on Intelligent Transportation Systems.
[70] Sertac Karaman,et al. Polling-systems-based control of high-performance provably-safe autonomous intersections , 2014, 53rd IEEE Conference on Decision and Control.
[71] Matthew Lai,et al. Giraffe: Using Deep Reinforcement Learning to Play Chess , 2015, ArXiv.
[72] Alberto Speranzon,et al. Multiobjective Path Planning: Localization Constraints and Collision Probability , 2015, IEEE Transactions on Robotics.
[73] Yuval Tassa,et al. Learning Continuous Control Policies by Stochastic Value Gradients , 2015, NIPS.
[74] Sergey Levine,et al. Trust Region Policy Optimization , 2015, ICML.
[75] Chung Choo Chung,et al. Robust Multirate Control Scheme With Predictive Virtual Lanes for Lane-Keeping System of Autonomous Highway Driving , 2015, IEEE Transactions on Vehicular Technology.
[76] Fei-Yue Wang,et al. Traffic Flow Prediction With Big Data: A Deep Learning Approach , 2015, IEEE Transactions on Intelligent Transportation Systems.
[77] Joshua Auld,et al. POLARIS: Agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations , 2016 .
[78] Yoshua Bengio,et al. Gated Feedback Recurrent Neural Networks , 2015, ICML.
[79] Marc G. Bellemare,et al. The Arcade Learning Environment: An Evaluation Platform for General Agents , 2012, J. Artif. Intell. Res..
[80] Jakob Erdmann,et al. SUMO’s Lane-Changing Model , 2015 .
[81] Xin Zhang,et al. End to End Learning for Self-Driving Cars , 2016, ArXiv.
[82] Pieter Abbeel,et al. Benchmarking Deep Reinforcement Learning for Continuous Control , 2016, ICML.
[83] Kay W. Axhausen,et al. The Multi-Agent Transport Simulation , 2016 .
[84] Marco Pavone,et al. Control of robotic mobility-on-demand systems: A queueing-theoretical perspective , 2014, Int. J. Robotics Res..
[85] Jinwoo Lee,et al. A probability model for discretionary lane changes in highways , 2016 .
[86] Shane Legg,et al. DeepMind Lab , 2016, ArXiv.
[87] Anca D. Dragan,et al. Planning for Autonomous Cars that Leverage Effects on Human Actions , 2016, Robotics: Science and Systems.
[88] Don MacKenzie,et al. Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles , 2016 .
[89] Sergey Levine,et al. High-Dimensional Continuous Control Using Generalized Advantage Estimation , 2015, ICLR.
[90] Florian Richoux,et al. TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games , 2016, ArXiv.
[91] Wojciech Zaremba,et al. OpenAI Gym , 2016, ArXiv.
[92] Ion Stoica,et al. Ray RLLib: A Composable and Scalable Reinforcement Learning Library , 2017, NIPS 2017.
[93] Liang Wang,et al. Eigenvalue and Eigenvector Analysis of Stability for a Line of Traffic , 2017 .
[94] Maria Laura Delle Monache,et al. Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments , 2017, ArXiv.
[95] Alexandre M. Bayen,et al. Framework for control and deep reinforcement learning in traffic , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).
[96] Nicholas G. Polson,et al. Deep learning for short-term traffic flow prediction , 2016, 1604.04527.
[97] Yi Wu,et al. Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments , 2017, NIPS.
[98] Alexandre M. Bayen,et al. Multi-lane reduction: A stochastic single-lane model for lane changing , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).
[99] Andreas A. Malikopoulos,et al. Automated and Cooperative Vehicle Merging at Highway On-Ramps , 2017, IEEE Transactions on Intelligent Transportation Systems.
[100] Andreas A. Malikopoulos,et al. A Survey on the Coordination of Connected and Automated Vehicles at Intersections and Merging at Highway On-Ramps , 2017, IEEE Transactions on Intelligent Transportation Systems.
[101] Martin Treiber,et al. The Intelligent Driver Model with Stochasticity -New Insights Into Traffic Flow Oscillations , 2017 .
[102] Alexandre M. Bayen,et al. Emergent Behaviors in Mixed-Autonomy Traffic , 2017, CoRL.
[103] Le Song,et al. 2 Common Formulation for Greedy Algorithms on Graphs , 2018 .
[104] Alexandre M. Bayen,et al. Benchmarks for reinforcement learning in mixed-autonomy traffic , 2018, CoRL.
[105] Alexandre M. Bayen,et al. Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).
[106] Matthew J. Hausknecht,et al. TextWorld: A Learning Environment for Text-based Games , 2018, CGW@IJCAI.
[107] Alexandre M. Bayen,et al. Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).
[108] Alexandre M. Bayen,et al. Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement Learning , 2017, IEEE Transactions on Intelligent Transportation Systems.
[109] Zhenhui Li,et al. IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control , 2018, KDD.
[110] Alexandre M. Bayen,et al. Stabilizing Traffic with Autonomous Vehicles , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).