Improving the Performance of High-Density Platooning Using Vehicle Sensor-Based Doppler-Compensation Algorithms

Abstract

This paper investigates the advantages of using communication supported by information from vehicle sensors to improve the performance of the High-Density Platooning (HDPL) application. HDPL is one of the most promising applications in the field of cooperative driving. The goal of this application is to improve fuel and road efficiency without impairing safety. The level of efficiency improvement depends on the instantaneous channel quality. Strong multipath components, which arise from other vehicles, traffic signs, and surrounding buildings in such a highly dynamic vehicular environment, significantly influence the instantaneous link quality between communicating vehicles in a platoon. An emerging concept of vehicle sensor-aided predictive communications has shown its potential to improve direct-link communication. In this paper, the applicability of this approach is evaluated in terms of inter-vehicle distance error, which reflects the difficulties that the control algorithm has to cope with in the communications conditions. The simulation results show that the proposed sensor-based approach significantly improves the platoon performance even if affected by multiple dynamic scattering reflections at the same time.

Joint Communication and Computation Resource Scheduling of a UAV-Assisted Mobile Edge Computing System for Platooning Vehicles

“…Currently, many researchers are attracted by the potentials of cooperative control of connected platooning vehicles. They are engaged in developing innovative design paradigms to address the platoon control-related challenge from the perspective of control theory, such as H-infinity synthesis-based robust control [3], [4], car-following model and consensus-based control [5]- [7], vehicular sensor-based and Doppler-compensationbased control [10], and model predictive control (MPC)-based methods [8], [9]. Nevertheless, among these platoon controlrelated works, few have targeted the joint optimization of communication and computation resources.…”

“…They are envisioned to bring huge social, industrial and economic benefits to our life, such as promoting traffic safety and efficiency, reducing environmental pollution, and saving traffic energy consumption, etc [1], [2]. Hence, many research efforts have been dedicated to developing effective solutions to address the cooperative control-related challenge of CAV platoons, and various control paradigms have been proposed in current literature [3]- [10]. However, the cooperative control or other control-related upper-layer applications of platooning vehicles usually rely on the high-performance communication and computation of vehicular terminals.…”

Packet Inter-Reception Time Conditional Density Estimation Based on Surrounding Traffic Distribution

“…One interesting application of cooperative driving is HDPL. In this application, vehicles, particularly trucks, coordinate their speed in order target small IVD-below 15 m. The communications challenges of HDPL are studied for different scenarios in our previous work: emergency braking scenarios using solely IEEE 802.11p [5] as well as using different technologies [6]; cooperative collision avoidance scenarios using LTE D2D and a Doppler shift prediction algorithm [7]; and a maintain platoon with sinusoidal speed command also using this combination of technology and algorithm [8].…”

Fuel Efficient High-Density Platooning Using Future Conditions Prediction

“…In our previous work, we studied the impact of various external factors on the performance of HDPL supported by different radio access technologies. These factors are the number of surrounding nodes and the inter-antenna distance in [15], and the Doppler shift originating from incoming traffic in [16], [17]. These previous studies motivate the development of strategies for the adaptation to QoS variation.…”