CONVINCE: A cross-layer modeling, exploration and validation framework for next-generation connected vehicles
Next-generation autonomous and semi-autonomous vehicles will not only precept the environment with their own sensors, but also communicate with other vehicles and surrounding infrastructures for vehicle safety and transportation efficiency. The design, analysis and validation of various vehicle-to-v...
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| Vydané v: | Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design s. 1 - 8 |
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ACM
01.11.2016
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| ISSN: | 1558-2434 |
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| Abstract | Next-generation autonomous and semi-autonomous vehicles will not only precept the environment with their own sensors, but also communicate with other vehicles and surrounding infrastructures for vehicle safety and transportation efficiency. The design, analysis and validation of various vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications involve multiple layers, from V2V/V2I communication networks down to software and hardware of individual vehicles, and concern with stringent requirements on multiple metrics such as timing, security, reliability and fault tolerance. To cope with these challenges, we have been developing CONVINCE, a cross-layer modeling, exploration and validation framework for connected vehicles. The framework includes mathematical models, synthesis and validation algorithms, and a heterogeneous simulator for inter-vehicle communications and intra-vehicle software and hardware in a holistic environment. It explores various design options with respect to constraints and objectives on system safety, security, reliability, cost, etc. A V2V application is used in the case study to demonstrate the effectiveness of the proposed framework. |
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| AbstractList | Next-generation autonomous and semi-autonomous vehicles will not only precept the environment with their own sensors, but also communicate with other vehicles and surrounding infrastructures for vehicle safety and transportation efficiency. The design, analysis and validation of various vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications involve multiple layers, from V2V/V2I communication networks down to software and hardware of individual vehicles, and concern with stringent requirements on multiple metrics such as timing, security, reliability and fault tolerance. To cope with these challenges, we have been developing CONVINCE, a cross-layer modeling, exploration and validation framework for connected vehicles. The framework includes mathematical models, synthesis and validation algorithms, and a heterogeneous simulator for inter-vehicle communications and intra-vehicle software and hardware in a holistic environment. It explores various design options with respect to constraints and objectives on system safety, security, reliability, cost, etc. A V2V application is used in the case study to demonstrate the effectiveness of the proposed framework. |
| Author | Bowen Zheng Huafeng Yu Hengyi Liang Chung-Wei Lin Qi Zhu |
| Author_xml | – sequence: 1 surname: Bowen Zheng fullname: Bowen Zheng organization: Univ. of California, Riverside, Riverside, CA, USA – sequence: 2 surname: Chung-Wei Lin fullname: Chung-Wei Lin organization: Toyota InfoTechnology Center, Mountain View, CA, USA – sequence: 3 surname: Huafeng Yu fullname: Huafeng Yu organization: Boeing Res. & Technol., Huntsville, AL, USA – sequence: 4 surname: Hengyi Liang fullname: Hengyi Liang organization: Univ. of California, Riverside, Riverside, CA, USA – sequence: 5 surname: Qi Zhu fullname: Qi Zhu organization: Univ. of California, Riverside, Riverside, CA, USA |
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| Snippet | Next-generation autonomous and semi-autonomous vehicles will not only precept the environment with their own sensors, but also communicate with other vehicles... |
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| SubjectTerms | Analytical models Computational modeling Mathematical model Security Software Timing Vehicles |
| Title | CONVINCE: A cross-layer modeling, exploration and validation framework for next-generation connected vehicles |
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