Vincy: A Smart-contract based Data Integrity and Validation Tooling for Automated Vehicle Incident Investigation

André Budel; Reem Alhabib; Mark Nicholson; Poonam Yadav

doi:10.48550/arXiv.2311.13728

Vincy: A Smart-contract based Data Integrity and Validation Tooling for Automated Vehicle Incident Investigation

André Budel, Reem Alhabib, Mark Nicholson, Poonam Yadav

Computer Science

Research output: Working paper › Preprint

Abstract

Automated Driving Systems (ADSs) are being manufactured at an accelerated rate, leading to improvements in traffic safety, reduced energy consumption, pollution, and congestion. ADS relies on various data streams from onboard sensors, external road infrastructure, and other vehicles to make driving decisions. For effective traffic accident reconstruction, investigators must produce, collect, store, and access real-time data. To ensure meaningful investigation, the data used by investigators must be accurate and maintain its integrity. In this paper, we propose a smart-contract based data integrity and validation tool for automated vehicle incident investigation during road trials, considering uncertainties in a real-world environment.

Original language	English
Publisher	arXiv
DOIs	https://doi.org/10.48550/arXiv.2311.13728
Publication status	Published - 22 Nov 2023

Bibliographical note

11 pages, 5 Figures

Keywords

cs.NI
cs.SE

Access to Document

10.48550/arXiv.2311.13728Licence: CC BY-NC-ND

2311.13728v1

Cite this

@techreport{f99fa19076594d89b1c174172368ecfa,

title = "Vincy: A Smart-contract based Data Integrity and Validation Tooling for Automated Vehicle Incident Investigation",

abstract = "Automated Driving Systems (ADSs) are being manufactured at an accelerated rate, leading to improvements in traffic safety, reduced energy consumption, pollution, and congestion. ADS relies on various data streams from onboard sensors, external road infrastructure, and other vehicles to make driving decisions. For effective traffic accident reconstruction, investigators must produce, collect, store, and access real-time data. To ensure meaningful investigation, the data used by investigators must be accurate and maintain its integrity. In this paper, we propose a smart-contract based data integrity and validation tool for automated vehicle incident investigation during road trials, considering uncertainties in a real-world environment.",

keywords = "cs.NI, cs.SE",

author = "Andr{\'e} Budel and Reem Alhabib and Mark Nicholson and Poonam Yadav",

note = "11 pages, 5 Figures",

year = "2023",

month = nov,

day = "22",

doi = "10.48550/arXiv.2311.13728",

language = "English",

publisher = "arXiv",

type = "WorkingPaper",

institution = "arXiv",

}

TY - UNPB

T1 - Vincy

T2 - A Smart-contract based Data Integrity and Validation Tooling for Automated Vehicle Incident Investigation

AU - Budel, André

AU - Alhabib, Reem

AU - Nicholson, Mark

AU - Yadav, Poonam

N1 - 11 pages, 5 Figures

PY - 2023/11/22

Y1 - 2023/11/22

N2 - Automated Driving Systems (ADSs) are being manufactured at an accelerated rate, leading to improvements in traffic safety, reduced energy consumption, pollution, and congestion. ADS relies on various data streams from onboard sensors, external road infrastructure, and other vehicles to make driving decisions. For effective traffic accident reconstruction, investigators must produce, collect, store, and access real-time data. To ensure meaningful investigation, the data used by investigators must be accurate and maintain its integrity. In this paper, we propose a smart-contract based data integrity and validation tool for automated vehicle incident investigation during road trials, considering uncertainties in a real-world environment.

AB - Automated Driving Systems (ADSs) are being manufactured at an accelerated rate, leading to improvements in traffic safety, reduced energy consumption, pollution, and congestion. ADS relies on various data streams from onboard sensors, external road infrastructure, and other vehicles to make driving decisions. For effective traffic accident reconstruction, investigators must produce, collect, store, and access real-time data. To ensure meaningful investigation, the data used by investigators must be accurate and maintain its integrity. In this paper, we propose a smart-contract based data integrity and validation tool for automated vehicle incident investigation during road trials, considering uncertainties in a real-world environment.

KW - cs.NI

KW - cs.SE

U2 - 10.48550/arXiv.2311.13728

DO - 10.48550/arXiv.2311.13728

M3 - Preprint

BT - Vincy

PB - arXiv

ER -