Optimizing sensitivity parameters of automated driving vehicles in an open heterogeneous traffic flow system

In this paper, we attempt to address the issue of controlling the sensitivity parameters (or control gains) of automated driving vehicles in an open heterogeneous traffic flow system. The automated...

[1]  Alireza Talebpour,et al.  Influence of connected and autonomous vehicles on traffic flow stability and throughput , 2016 .

[2]  Mehrdad Dianati,et al.  Towards connected autonomous driving: review of use-cases , 2018, Vehicle System Dynamics.

[3]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[4]  B. Kerner Failure of classical traffic flow theories: Stochastic highway capacity and automatic driving , 2016, 1601.02585.

[5]  Yang Zheng,et al.  Smoothing Traffic Flow via Control of Autonomous Vehicles , 2018, IEEE Internet of Things Journal.

[6]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[7]  Yu Wang,et al.  A trajectory smoothing method at signalized intersection based on individualized variable speed limits with location optimization , 2018, Transportation Research Part D: Transport and Environment.

[8]  Alexandre M. Bayen,et al.  Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control , 2017, ArXiv.

[9]  Francesc Soriguera,et al.  Autonomous vehicles: theoretical and practical challenges , 2018 .

[10]  Boris S Kerner,et al.  Physics of automated driving in framework of three-phase traffic theory. , 2018, Physical review. E.

[11]  Maria Laura Delle Monache,et al.  Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments , 2017, ArXiv.

[12]  Michael Schreckenberg,et al.  Effect of driver over-acceleration on traffic breakdown in three-phase cellular automaton traffic flow models , 2013 .

[13]  Han-Shue Tan,et al.  Design and field testing of a Cooperative Adaptive Cruise Control system , 2010, Proceedings of the 2010 American Control Conference.

[14]  Toshiyuki Yamamoto,et al.  Heterogeneous Traffic Flow Dynamics under Various Penetration Rates of Connected and Autonomous Vehicle , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

[15]  Dirk Helbing,et al.  Adaptive cruise control design for active congestion avoidance , 2008 .

[16]  Jack Haddad,et al.  Vehicle platoon formation using interpolating control: A laboratory experimental analysis , 2017 .

[17]  Dirk Helbing,et al.  Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[18]  Davis Lc Effect of adaptive cruise control systems on traffic flow. , 2004 .

[19]  Boris S. Kerner,et al.  Cellular automata approach to three-phase traffic theory , 2002, cond-mat/0206370.

[20]  Andreas Hegyi,et al.  Integrated macroscopic traffic flow, emission, and fuel consumption model for control purposes , 2013 .

[21]  L. C. Davis Improving traffic flow at a 2-to-1 lane reduction with wirelessly connected, adaptive cruise control vehicles , 2016 .

[22]  Wei Ren,et al.  Reducing time headway for platooning of connected vehicles via V2V communication , 2019, Transportation Research Part C: Emerging Technologies.

[23]  Dong Ngoduy,et al.  Analytical studies on the instabilities of heterogeneous intelligent traffic flow , 2013, Commun. Nonlinear Sci. Numer. Simul..

[24]  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 .

[25]  Bin Jia,et al.  Experimental and empirical investigations of traffic flow instability , 2018, Transportation Research Part C: Emerging Technologies.

[26]  Steven E Shladover,et al.  Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data , 2014 .

[27]  Jiaqi Ma,et al.  A mixed traffic speed harmonization model with connected autonomous vehicles , 2019, Transportation Research Part C: Emerging Technologies.

[28]  Liang Hu,et al.  Energy-Efficient Adaptive Cruise Control for Electric Connected and Autonomous Vehicles , 2019, IEEE Intelligent Transportation Systems Magazine.

[29]  H. M. Zhang,et al.  Analysis of mixed traffic flow with human-driving and autonomous cars based on car-following model , 2017 .

[30]  Roger Fletcher,et al.  A Rapidly Convergent Descent Method for Minimization , 1963, Comput. J..

[31]  Xiaohui Zhang,et al.  Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment , 2018, Transportation Research Part C: Emerging Technologies.

[32]  Maarten Steinbuch,et al.  String-Stable CACC Design and Experimental Validation: A Frequency-Domain Approach , 2010, IEEE Transactions on Vehicular Technology.

[33]  Alireza Talebpour,et al.  A Platooning Strategy for Automated Vehicles in the Presence of Speed Limit Fluctuations , 2018, Transportation Research Record: Journal of the Transportation Research Board.

[34]  A. Schadschneider,et al.  Open boundaries in a cellular automaton model for traffic flow with metastable states. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[35]  Martin Treiber,et al.  Traffic Flow Dynamics , 2013 .

[36]  C. D. Perttunen,et al.  Lipschitzian optimization without the Lipschitz constant , 1993 .

[37]  Gábor Orosz,et al.  Optimal Control of Connected Vehicle Systems With Communication Delay and Driver Reaction Time , 2017, IEEE Transactions on Intelligent Transportation Systems.

[38]  Meixin Zhu,et al.  Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning , 2018, Transportation Research Part C: Emerging Technologies.

[39]  Huei Peng,et al.  Optimal Adaptive Cruise Control with Guaranteed String Stability , 1999 .

[40]  L. C. Davis,et al.  Dynamics of a long platoon of cooperative adaptive cruise control vehicles , 2018, Physica A: Statistical Mechanics and its Applications.

[41]  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).

[42]  Xiao-Mei Zhao,et al.  Heterogeneous Traffic Mixing Regular and Connected Vehicles: Modeling and Stabilization , 2019, IEEE Transactions on Intelligent Transportation Systems.

[43]  J. Spall Implementation of the simultaneous perturbation algorithm for stochastic optimization , 1998 .

[44]  Soyoung Ahn,et al.  Freeway traffic oscillations: Microscopic analysis of formations and propagations using Wavelet Transform , 2011 .

[45]  Rui Jiang,et al.  First order phase transition from free flow to synchronized flow in a cellular automata model , 2005 .

[46]  Hossam Faris,et al.  Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems , 2017, Adv. Eng. Softw..

[47]  Chin-Teng Lin,et al.  Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach , 2020 .

[48]  J. Spall Multivariate stochastic approximation using a simultaneous perturbation gradient approximation , 1992 .

[49]  Alexandre M. Bayen,et al.  Stabilizing Traffic with Autonomous Vehicles , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[50]  K. Jetto,et al.  The investigation of the reentrance phenomenon in cellular automaton traffic flow model , 2017 .

[51]  Lawrence Davis,et al.  Bit-Climbing, Representational Bias, and Test Suite Design , 1991, ICGA.

[52]  Keqiang Li,et al.  Controllability Analysis and Optimal Controller Synthesis of Mixed Traffic Systems , 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).

[53]  Amir Ghiasi,et al.  A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method , 2017 .

[54]  Nathan van de Wouw,et al.  Design and experimental evaluation of cooperative adaptive cruise control , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[55]  Serge P. Hoogendoorn,et al.  Stabilizing mixed vehicular platoons with connected automated vehicles: An H-infinity approach , 2020, Transportation Research Part B: Methodological.

[56]  Qing He,et al.  Capacity Analysis and Cooperative Lane Changing for Connected and Automated Vehicles: Entropy-Based Assessment Method , 2019, Transportation Research Record: Journal of the Transportation Research Board.

[57]  Soyoung Ahn,et al.  Microscopic traffic hysteresis in traffic oscillations : a behavioral perspective , 2012 .

[58]  Hao Wang,et al.  Stability of CACC-manual heterogeneous vehicular flow with partial CACC performance degrading , 2018, Transportmetrica B: Transport Dynamics.

[59]  Soyoung Ahn,et al.  Towards vehicle automation: Roadway capacity formulation for traffic mixed with regular and automated vehicles , 2017 .

[60]  Stefan Schaal,et al.  2008 Special Issue: Reinforcement learning of motor skills with policy gradients , 2008 .

[61]  Mao-Bin Hu,et al.  Traffic Experiment Reveals the Nature of Car-Following , 2014, PloS one.

[62]  L. C. Davis,et al.  Controlling traffic flow near the transition to the synchronous flow phase , 2006 .

[63]  Soyoung Ahn,et al.  A behavioural car-following model that captures traffic oscillations , 2012 .