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<p>In the vehicular networked environment, the escalating demand for information transmission poses challenges to the limited communication bandwidth. Ensuring platoon control performance while reducing signal transmission requirements within this constrained bandwidth is of great significance. Connected autonomous vehicles (CAVs) typically utilize discrete quantization communication signals and generate finite discrete acceleration, so the update frequency of discrete acceleration is directly related to the car-following performance. In general, higher update frequencies within the computer performance range lead to more frequent and effective real-time response to changes in the car-following behavior, although at the cost of increased communication load. Excessive communication load will bring communication failure. This paper endeavors to quantize the control signals of CAV platoons in longitudinal driving scenarios to reduce the communication requirements by proposing a method that utilizes a hysteresis quantizer with a quantization deadband. Initially, we establish an overall CAV platoon system model and subsequently conduct stability analysis to determine the stable condition of the system. Simulation experiments are performed to demonstrate the effectiveness of employing quantizers for CAV platoons, and comprehensive comparisons are made on various aspects regarding the quantization effects of different quantizers. The results conclusively indicate that utilizing a hysteresis-quantized controller with a quantization deadband yields commendable response times and superior control performance.</p>

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Enhanced Cooperative Driving Strategy for CAV Platoons via Quantized Feedback Control Under Limited Channel Bandwidth

  • 期刊论文

  • 发表日期：

    2025年8月12日

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  • Jin Chen,
  • Juntao Liu,
  • Heng Ding,
  • Zeyang Cheng,
  • Weihua Zhang

摘要

In the vehicular networked environment, the escalating demand for information transmission poses challenges to the limited communication bandwidth. Ensuring platoon control performance while reducing signal transmission requirements within this constrained bandwidth is of great significance. Connected autonomous vehicles (CAVs) typically utilize discrete quantization communication signals and generate finite discrete acceleration, so the update frequency of discrete acceleration is directly related to the car-following performance. In general, higher update frequencies within the computer performance range lead to more frequent and effective real-time response to changes in the car-following behavior, although at the cost of increased communication load. Excessive communication load will bring communication failure. This paper endeavors to quantize the control signals of CAV platoons in longitudinal driving scenarios to reduce the communication requirements by proposing a method that utilizes a hysteresis quantizer with a quantization deadband. Initially, we establish an overall CAV platoon system model and subsequently conduct stability analysis to determine the stable condition of the system. Simulation experiments are performed to demonstrate the effectiveness of employing quantizers for CAV platoons, and comprehensive comparisons are made on various aspects regarding the quantization effects of different quantizers. The results conclusively indicate that utilizing a hysteresis-quantized controller with a quantization deadband yields commendable response times and superior control performance.