학술논문

Cooperative Perception using Cellular V2X in Mixed Traffic Scenario
Document Type
Conference
Source
2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2021 International Conference on. :1-6 Oct, 2021
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Mechatronics
Roads
Computational modeling
Safety
Sensors
3GPP
Vehicle-to-everything
Cellular V2X
connected autonomous vehicles
cooperative perception
mixed traffic
road capacity
vehicle-to-everything
Language
Abstract
The ultimate goal of connected autonomous vehicles (CAVs) is to provide traffic accident-free, road capacity, and mobility service. The CAVs are supported by vehicle-to-everything (V2X) communication to achieve those goals. The 3rd Generation Partnership Project (3GPP) standardizes the V2X called cellular V2X (C-V2X). In the real application, the CAVs should deal with mixed traffic scenarios during its penetration in the highways. The term mixed traffic refers to the traffic that consisted of human driving and CAVs. This paper considers that human driving is an unconnected vehicle and has a jerky driving behavior. Hence, when the CAVs interacted with human driving vehicles, CAVs required large spacing between vehicles to provide safety and comfortable driving. It will sacrifice the road capacity where the spacing between vehicles is large. This paper proposes the cooperative perception strategy using C-V2X to mitigate the adverse effect of unconnected vehicles without sacrificing safety and comfortable driving. The errors during transmission such as propagation error, half-duplex error, packet sensing ratio error, and message collision are considered. The effectiveness of our cooperative strategy is demonstrated by a joint simulation of Matlab/Simulink and PreScan.