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Motion Estimation of Connected and Automated Vehicles under Communication Delay and Packet Loss of V2X Communications
Technical Paper
2021-01-0107
ISSN: 0148-7191, e-ISSN: 2688-3627
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SAE WCX Digital Summit
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English
Abstract
The emergence of the connected and automated vehicle (CAV) technology enables numerous advanced applications in our transportation system, benefiting our daily travels in terms of safety, mobility, and sustainability. However, vehicular communication technologies such as Dedicated Short-Range Communications (DSRC) or Cellular-Based Vehicle-to-Everything (C-V2X) communications unavoidably introduce issues like communication delay and packet loss, which will downgrade the performances of any CAV applications. In this study, we propose a consensus-based motion estimation methodology to estimate the vehicle motion when the vehicular communication environment is not ideal. This methodology is developed based on the consensus-based feedforward/feedback motion control algorithm, estimating the position and speed of a CAV in the presence of communication delay and packet loss. The simulation study is conducted in a traffic scenario of unsignalized intersections, where CAVs coordinate with each other through V2X communications and cross intersections without any full stop. Game engine-based human-in-the-loop simulation results shows the proposed motion estimation methodology can cap the position estimation error to ±0.5 m during periodic packet loss and time-variant communication delay.
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Wang, Z., "Motion Estimation of Connected and Automated Vehicles under Communication Delay and Packet Loss of V2X Communications," SAE Technical Paper 2021-01-0107, 2021, https://doi.org/10.4271/2021-01-0107.Data Sets - Support Documents
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References
- Shladover , S.E. , Nowakowski , C. , Lu , X.-Y. , and Ferlis , R. Cooperative Adaptive Cruise Control: Definitions and Operating Concepts Transportation Research Record 2489 145 152 2015
- Wang , Z. , Wu , G. , and Barth , M.J. A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications 2018 21st International Conference on Intelligent Transportation Systems (ITSC) 2884 2891 Nov. 2018
- Rios-Torres , J. and Malikopoulos , A.A. A Survey on the Coordination of Connected and Automated Vehicles at Intersections and Merging at Highway On-Ramps IEEE Transactions on Intelligent Transportation Systems 18 1066 1077 May 2017
- Wang , Z. , Wu , G. , Boriboonsomsin , K. , Barth , M. et al. Cooperative Ramp Merging System: Agent-Based Modeling and Simulation Using Game Engine SAE International Journal of Connected and Automated Vehicles 2 2 2019
- Ma , J. , Li , X. , Shladover , S. , Rakha , H.A. et al. Freeway Speed Harmonization IEEE Transactions on Intelligent Vehicles 1 78 89 March 2016
- Malikopoulos , A.A. , Hong , S. , Park , B.B. , Lee , J. , and Ryu , S. Optimal Control for Speed Harmonization of Automated Vehicles IEEE Transactions on Intelligent Transportation Systems 20 7 2405 2417 2019
- Altan , O.D. , Wu , G. , Barth , M.J. , Boriboonsomsin , K. , and Stark , J.A. Glidepath: Eco-Friendly Automated Approach and Departure at Signalized Intersections IEEE Transactions on Intelligent Vehicles 2 266 277 Dec 2017
- Wang , Z. , Wu , G. , and Barth , M.J. Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment IEEE Transactions on Intelligent Transportation Systems 21 5 2029 2038 2020
- Dresner , K. and Stone , P. A Multiagent Approach to Autonomous Intersection Management Journal of Artificial Intelligence Research 31 591 656 2008
- Guney , M.A. and Raptis , I.A. Scheduling-Driven Motion Coordination of Autonomous Vehicles at a Multi-Lane Traffic Intersection 2018 Annual American Control Conference (ACC) 4038 4043 2018
- Gao , F. , Li , S.E. , Zheng , Y. , and Kum , D. Robust Control of Heterogeneous Vehicular Platoon with Uncertain Dynamics and Communication Delay IET Intelligent Transport Systems 10 7 503 513 2016
- Petrillo , A. , Salvi , A. , Santini , S. , and Valente , A.S. Adaptive Multi-Agents Synchronization for Collaborative Driving of Autonomous Vehicles with Multiple Communication Delays Transportation Research Part C: Emerging Technologies 86 372 392 2018
- di Bernardo , M. , Salvi , A. , and Santini , S. Distributed Consensus Strategy for Platooning of Vehicles in the Presence of Time-Varying Heterogeneous Communication Delays IEEE Transactions on Intelligent Transportation Systems 16 102 112 Feb. 2015
- di Bernardo , M. , Falcone , P. , Salvi , A. , and Santini , S. Design, Analysis, and Experimental Validation of a Distributed Protocol for Platooning in the Presence of Time-Varying Heterogeneous Delays IEEE Transactions on Control Systems Technology 24 413 427 2016
- Chehardoli , H. and Homaeinezhad , M.R. Third-Order Safe Consensus of Heterogeneous Vehicular Platoons with MPF Network Topology: Constant Time Headway Strategy Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 232 10 1402 1413 2018
- Ploeg , J. , Semsar-Kazerooni , E. , Lijster , G. , van de Wouw , N. , and Nijmeijer , H. Graceful Degradation of Cooperative Adaptive Cruise Control IEEE Transactions on Intelligent Transportation Systems 16 488 497 Feb. 2015
- Harfouch , Y.A. , Yuan , S. , and Baldi , S. An Adaptive Switched Control Approach to Heterogeneous Platooning with Intervehicle Communication Losses IEEE Transactions on Control of Network Systems 5 1434 1444 Sep. 2018
- Wenzel , T.A. , Burnham , K. , Blundell , M. , and Williams , R. Dual Extended Kalman Filter for Vehicle State and Parameter Estimation Vehicle System Dynamics 44 2 153 171 2006
- Antonov , S. , Fehn , A. , and Kugi , A. Unscented Kalman Filter for Vehicle State Estimation Vehicle System Dynamics 49 9 1497 1520 2011
- Bogdanski , K. and Best , M.C. Kalman and Particle Filtering Methods for Full Vehicle and Tyre Identification Vehicle System Dynamics 56 5 769 790 2018
- Zanon , M. , Frasch , J.V. , and Diehl , M. Nonlinear Moving Horizon Estimation for Combined State and Friction Coefficient Estimation in Autonomous Driving 2013 European Control Conference (ECC) 4130 4135 IEEE 2013
- Mori , D. and Hattori , Y. Simultaneous Estimation of Vehicle Position and Data Delays Using Gaussian Process Based Moving Horizon Estimation 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2303 2308 2020
- Xiao , L. and Gao , F. Practical String Stability of Platoon of Adaptive Cruise Control Vehicles IEEE Transactions on Intelligent Transportation Systems 12 4 1184 1194 2011
- Milanes , V. , Shladover , S.E. , Spring , J. , Nowakowski , C. et al. Cooperative Adaptive Cruise Control in Real Traffic Situations IEEE Transactions on Intelligent Transportation Systems 15 296 305 Feb. 2014
- Wang , Z. , Han , K. , Kim , B. , Wu , G. , and Barth , M.J. Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles 2019 American Control Conference (ACC) 5298 5303 2019
- Treiber , M. , Hennecke , A. , and Helbing , D. Congested Traffic States in Empirical Observations and Microscopic Simulations Physical Review E 62 2 1805 2000
- U.S. Department of Transportation Federal Highway Administration
- Ma , J. , Schwarz , C. , Wang , Z. , Elli , M. et al. New Simulation Tools for Training and Testing Automated Vehicles Meyer , G. , Beiker , S. Road Vehicle Automation 7 Cham Springer International Publishing 2020 111 119
- Dosovitskiy , A. , Ros , G. , Codevilla , F. , Lopez , A. , and Koltun , V. 2017
- Rong , G. , Shin , B.H. , Tabatabaee , H. , Lu , Q. , Lemke , S. , Možeiko , M. , Boise , E. , Uhm , G. , Gerow , M. , Mehta , S. , et al. LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving 2020
- Wei , Z. , Jiang , Y. , Liao , X. , Qi , X. , Wang , Z. , Wu , G. , Hao , P. , and Barth , M. End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning 09181 2020
- Liu , Y. , Wang , Z. , Han , K. , Shou , Z. , Tiwari , P. , and Hansen , J.H.L. Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles IEEE Intelligent Vehicles Symposium (IV) Jun. 2020
- Wang , Z. , Liao , X. , Wang , C. , Oswald , D. et al. Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach IEEE Transactions on Intelligent Vehicles 1 1 2020
- Liao , X. , Wang , Z. , Zhao , X. , Han , K. et al. Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication IEEE Transactions on Intelligent Transportation Systems 2020