There are many Vehicle Ad-Hoc Network (VANET) applications that can cause real problems and serious accidents for passengers using vehicles along the highway if the rules for changing the safe lane (overtaking) between vehicles on the road are violated or not. The nature of the use of the highway and the high speed driving it requires, as well as changes in traffic conditions, vehicle density, traffic situation or road weather conditions, and unexpected obstacles on the highway make it difficult to find enough time and real-time information needed to make the right decision at the right time and place. In this article, a new collaborative search methodology and lane switching algorithm for semi-automatic vehicles S-AV will be proposed that will contribute to maintaining safety and comfort rules between vehicles to achieve safe road travel within real time even though there are vehicles traveling at high speeds on the highway. We will propose an algorithm to classify the types of safe overtaking between vehicles with different maneuvering conditions on the highway according to the road condition where they are categorized into major categories and analyzed critically based on various performances. This new algorithm will increase the comfort factor and increase the safety of vehicles traveling on the highway. Finally, we submitted proposals for future research approaches to develop and enrich scientific research related to VANET to explore how to ensure the appropriate decision to proceed safely between vehicles on the highway and within urban cities where this presents a major research challenge to encourage researchers to link the driving and steering of semi-autonomous vehicles S-AV with driver biometrics to improve safety on highways and urban cities.


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    Titel :

    Vehicles Speed Advisory: New Technique for Safer Highways' Overtaking


    Beteiligte:


    Erscheinungsdatum :

    09.06.2022


    Format / Umfang :

    523144 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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