Research On Speed Guidance And Data Sharing Model For Intelligent Connected Vehicles

With the development of autonomous driving technology and the emergence of the Internet of Vehicles(Io V),Intelligent Connected Vehicles(ICVs)implement intensive calculations based on various sensor data,obtain the status of signal lights in advance through wireless communication technology to predict driving behavior,and use Advanced Driver Assistance Systems(ADAS)to automatically brake or shift gears,or take the initiative to request the driver to operate and control,so as to achieve the most user-friendly driving state.How to make use of the advantages of ICVs and optimize the complete driving assistance system to improve road traffic efficiency and safety is a current research hotspot.At the same time,the future ICVs will become a wheel computer loaded with a large amount of data.Sharing these Io V data can provide services for intelligent driving development,urban traffic management,road infrastructure construction,vehicle insurance,vehicle maintenance,and in-vehicle entertainment,etc.In order to maximize the benefits of Io V data,and promote the win-win situation between ICVs and different industries.Affected by the widespread distribution of current ICVs and complex scenarios,data sharing in the Io V has problems such as multiple data sources,data and user privacy leakage.In response to the above problems,this article focuses on the following research:(1)To address the problem that CACC(Cooperative Adaptive Cruise Control)is mainly applicable to highways,improve CACC to be applicable to near-intersection areas,propose a CACC-based speed guidance model for ICVs,and compare it with the IDM(Intelligent Driver Model)model of HDVs.The experimental results show that the model proposed in this paper can significantly improve the road traffic efficiency.(2)In the open scenario,an ACC-based speed guidance model is proposed for ICVs to address the problem of poor sensitivity of heterogeneous traffic flow in the near-intersection area and the problem that the current cooperation penetration level of CACC is too low and it will automatically realize the degradation of the function and transform into ACC.Communication delay variables are also introduced to explore the effect of ACC-based speed guidance model on the stability of heterogeneous traffic flow in the context of different Io V communication technologies.The experimental results show that the sensitivity of the proposed model to heterogeneous traffic stability is low under 5G-V2 X.(3)Aiming at the problem of Io V data currently sharing related sharing mechanisms and poor security,this paper proposes a Io V data sharing model for ICVs.The model meets the huge storage and computation requirements with the help of remote cloud servers,ensures the authenticity of data by using the transparency of blockchain,and uses certificateless multi-recipient proxy signcryption technology suitable for Io V identity authentication to realize trusted sharing of Io V data.Through security analysis,the security properties such as confidentiality and unforgeability of the model proposed in this paper are proved.Compared with other data sharing models,the computational efficiency of the proposed model is better.