Cooperative control of a platoon of connected autonomous vehicles and unconnected human‐driven vehicles | Semantic Scholar (2024)

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Topics 10 Citations 54 References Related Papers

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@article{Zhou2023CooperativeCO, title={Cooperative control of a platoon of connected autonomous vehicles and unconnected human‐driven vehicles}, author={Anye Zhou and Srinivas Peeta and Jian Wang}, journal={Computer‐Aided Civil and Infrastructure Engineering}, year={2023}, volume={38}, pages={2513 - 2536}, url={https://api.semanticscholar.org/CorpusID:257700582}}
  • Anye Zhou, S. Peeta, Jian Wang
  • Published in Comput. Aided Civ… 22 March 2023
  • Engineering, Computer Science
  • Computer‐Aided Civil and Infrastructure Engineering

Results indicate that the proposed cooperative control strategy can produce accurate estimations of the number and the kinematic states of HDVs between CAVs and achieve string stability while maintaining smaller time headways, compared to car‐following models used for training guidance under different market penetration rates of CAVs, which significantly improves traffic smoothness and mobility.

10 Citations

Background Citations

3

Topics

Connected Autonomous Vehicles (opens in a new tab)String Stability (opens in a new tab)Cooperative Control (opens in a new tab)Autonomous Vehicles (opens in a new tab)Communication Functionality (opens in a new tab)NGSIM Data (opens in a new tab)Intelligent Driver Model (opens in a new tab)Deep Deterministic Policy Gradient Algorithm (opens in a new tab)Deep Neural Networks (opens in a new tab)Market Penetration Rates (opens in a new tab)

10 Citations

Modeling and Optimization of Connected and Automated Vehicle Platooning Cooperative Control with Measurement Errors
    Weiming LuoXu LiJinchao HuWeiming Hu

    Engineering, Computer Science

    Sensors

  • 2023

The results demonstrate that the method presented in this study effectively mitigates the influence of measurement errors, thereby enabling coordinated vehicle-following behavior, achieving smooth acceleration and deceleration throughout the platoon, and eliminating traffic oscillations.

In‐fleet structural health monitoring of roadway bridges using connected and autonomous vehicles’ data

Drive‐by structural health monitoring (SHM) is a cost‐efficient alternative to the direct SHM of short‐ to medium‐size bridges requiring no sensors to be installed on the structure. However, drive‐by…

  • 1
  • PDF
Model Predictive Control-Based Trajectory Shaper for Safe and Efficient Adaptive Cruise Control
    Anye ZhouZejiang WangAdian Cook

    Engineering

    2023 IEEE International Automated Vehicle…

  • 2023

Recent studies show that commercially-available adaptive cruise control (ACC) systems are string-unstable, indicating that ACC-driven vehicles amplify speed fluctuations from downstream traffic and…

  • 1
  • PDF
Multi-agent simulation of autonomous industrial vehicle fleets: Towards dynamic task allocation in V2X cooperation mode
    J. GrossetA. FougèresM. Djoko-KouamJean-Marie Bonnin

    Engineering, Computer Science

    Integr. Comput. Aided Eng.

  • 2024

A multi-agent simulation is used to test the proposed dynamic task (re)allocation process for decentralized mechanisms to react to unexpected situations, and defines scenarios involving them in order to demonstrate through simulation that the process remains reliable.

  • 1
Deep spatial‐temporal embedding for vehicle trajectory validation and refinement
    T. ZhangPeter J. JinHan ZhouB. Piccoli

    Engineering, Computer Science

    Comput. Aided Civ. Infrastructure Eng.

  • 2024

The spatial‐temporal maps (STMaps) method offers an additional layer of verification to affirm the accuracy and reliability of trajectory data, and the deep spatial‐temporal embedding model is proposed for trajectory instance segmentation on STMaps using the contrastive learning framework.

Energy-Centric Cooperative Onramp Merging Strategy: An Analytical Solution
    Zejiang WangAnye ZhouAdian CookYunli ShaoGuanhao XuMax Chen

    Engineering, Environmental Science

    2023 IEEE International Automated Vehicle…

  • 2023

Cooperative highway onramp merging plays an important role in mitigating highway traffic congestion. A crucial component of a cooperative merging system is the merging sequence strategy, which…

  • PDF
Implications of stop-and-go traffic on training learning-based car-following control,☆
    Anye ZhouSrinivas PeetaHao ZhouJorge LavalZejiang WangAdian Cook

    Education, Engineering

    Transportation Research Part C: Emerging…

  • 2024
A multi-vehicle cooperative control scheme in mitigating traffic oscillation with smooth tracking-objective switching for a single-vehicle lane change scenario
    Kang SunSiyuan GongYang ZhouZhibin ChenXiangmo ZhaoXia Wu

    Engineering

    Transportation Research Part C: Emerging…

  • 2024
  • 1
Impact of beyond-line-of-sight connectivity on the capacity and stability of mixed traffic flow: An analytical and numerical investigation
    Jiakuan DongZhijun GaoDongyu LuoJiangfeng WangLei Chen

    Engineering, Physics

    Physica A: Statistical Mechanics and its…

  • 2024
Reservation-based Traffic Signal Control for Mixed Traffic Flow at Intersections
    Xin HuangHuan WangYongfu LiLongwang HuangHang Zhao

    Engineering

    Physica A: Statistical Mechanics and its…

  • 2023

54 References

Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles
    Siyuan GongLili Du

    Engineering, Computer Science

    Transportation Research Part B: Methodological

  • 2018
  • 203
Robust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control
    Shuo FengZiyou SongZhaojian LiYi ZhangLi Li

    Engineering, Computer Science

    IEEE Transactions on Intelligent Vehicles

  • 2021

A robust platoon control framework is proposed based on tube MPC, which is much more efficient regarding computation and communication, compared with the MPC method.

  • 76
  • Highly Influential
  • PDF
Cooperative Platooning with Mixed Traffic on Urban Arterial Roads
    Zeyu MuZheng ChenSeunghan RyuS. AvedisovRui GuoB. Park

    Engineering, Computer Science

    2022 IEEE Intelligent Vehicles Symposium (IV)

  • 2022

A framework for cooperative mixed traffic platooning that allows the platooning vehicles to realize multiple benefits from using vehicle-to-everything (V2X) communications and advanced controls on urban arterial roads is showcased.

  • 5
Stabilizing mixed vehicular platoons with connected automated vehicles: An H-infinity approach
    Yang ZhouSoyoung AhnMeng WangS. Hoogendoorn

    Engineering

    Transportation Research Part B: Methodological

  • 2020
  • 139
  • PDF
Robust control strategy for platoon of connected and autonomous vehicles considering falsified information injected through communication links
    Anye ZhouJian WangS. Peeta

    Engineering, Computer Science

    J. Intell. Transp. Syst.

  • 2023

Numerical experiments demonstrate that the proposed control strategy can effectively drive the CAV platoon to the desired consensus safely and efficiently under the impacts of falsified information injection.

  • 11
Trajectory control in roundabouts with a mixed fleet of automated and human‐driven vehicles
    Rasool MohebifardAli Hajbabaie

    Engineering, Computer Science

    Comput. Aided Civ. Infrastructure Eng.

  • 2022

The analyses indicate that the presence of cooperative CAVs in roundabouts can lead to considerable improvements, and the solution technique has convexification, alternating direction method of multipliers, and cutting plane decomposition components to tackle the complexities of the problem.

  • 27
Cooperative Adaptive Cruise Control for a Platoon of Connected and Autonomous Vehicles considering Dynamic Information Flow Topology
    Siyuan GongAnye ZhouJian WangTao LiS. Peeta

    Engineering, Computer Science

    Transportation Research Record: Journal of the…

  • 2019

Simulation results indicate that the proposed CACC-DIFT design outperforms CACC based on a predetermined information flow topology, which improves the platoon control performance considerably.

  • 72
  • Highly Influential
    • [PDF]
Path Planning and Cooperative Control for Automated Vehicle Platoon Using Hybrid Automata
    Zichao HuangDuanfeng ChuChaozhong WuYi He

    Engineering, Computer Science

    IEEE Transactions on Intelligent Transportation…

  • 2019

A control algorithm combining artificial potential field approach with model predictive control (MPC), and using the optimizer of the MPC controller to replace the gradient-descending method in the traditional APF approach is presented, which can accomplish both path planning and motion control synchronously.

  • 122
Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints
    Chaojie WangSiyuan GongAnye ZhouTao LiS. Peeta

    Engineering, Computer Science

    Transportation Research Part C: Emerging…

  • 2020
Robust Control of Connected Cruise Vehicle Platoon With Uncertain Human Driving Reaction Time
    Zhanrui XuXiaohong Jiao

    Engineering, Computer Science

    IEEE Transactions on Intelligent Vehicles

  • 2022

In this paper, the car-following platoon is considered, where the CCC autonomous vehicle at the tail receives velocity and position signals of human-driven vehicles ahead through wireless vehicle-to-vehicle (V2V) communication.

  • 19
  • Highly Influential

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