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A Security-by-Design Decision-Making Model for Risk Management in Autonomous Vehicles

https://doi.org/10.1109/access.2021.3098675
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1 of the 59 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-21): 10.3233/jifs-162013 (notice 2025-04-17).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-23756-1_110openalex-snapshot
Risk Analysis of the Autonomous Vehicle Driving Systems by Using Pythagorean Fuzzy AHP
inferredcites →https://doi.org/10.1007/s00500-016-2356-yopenalex-snapshot
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inferredcites →https://doi.org/10.1007/s00500-019-04421-5openalex-snapshot
A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method
inferredcites →https://doi.org/10.1007/s00521-015-2048-zopenalex-snapshot
Multiple attribute decision-making method based on some normal neutrosophic Bonferroni mean operators
inferredcites →https://doi.org/10.1007/s00521-016-2607-yopenalex-snapshot
Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function
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inferredcites →https://doi.org/10.1007/s13042-017-0719-zopenalex-snapshot
Some distances, similarity and entropy measures for interval-valued neutrosophic sets and their relationship
inferredcites →https://doi.org/10.1007/s40815-017-0313-2openalex-snapshot
Decision Making with Uncertainty Using Hesitant Fuzzy Sets
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A Hybrid Decision Making Framework for Personnel Selection Using BWM, MABAC and PROMETHEE
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A scaling method for priorities in hierarchical structures
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Effects of roadwork characteristics and drivers’ individual differences on speed preferences in a rural work zone
inferredcites →https://doi.org/10.1016/j.asoc.2020.106948openalex-snapshot
AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles
inferredcites →https://doi.org/10.1016/j.dt.2019.06.019openalex-snapshot
MABAC method for multiple attribute group decision making under q-rung orthopair fuzzy environment
inferredcites →https://doi.org/10.1016/j.eswa.2010.04.066openalex-snapshot
A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods
inferredcites →https://doi.org/10.1016/j.eswa.2014.11.057openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.proeng.2017.06.117openalex-snapshot
Calculation of Emissions from Transport Services and their use for the Internalisation of External Costs in Road Transport
inferredcites →https://doi.org/10.1016/j.retrec.2018.07.026openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.rser.2018.05.007openalex-snapshot
Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan
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inferredcites →https://doi.org/10.1016/j.ssci.2017.10.001openalex-snapshot
Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age
inferredcites →https://doi.org/10.1016/j.ssci.2017.10.025openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.tranpol.2020.04.006openalex-snapshot
Estimating road transport costs between and within European Union regions
inferredcites →https://doi.org/10.1016/j.trc.2013.12.001openalex-snapshot
The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
inferredcites →https://doi.org/10.1016/j.trf.2015.04.014openalex-snapshot
Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents
inferredcites →https://doi.org/10.1016/j.trf.2016.10.013openalex-snapshot
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inferredcites →https://doi.org/10.1057/s41283-020-00061-4openalex-snapshot
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inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0001757openalex-snapshot
Risk Assessment Using a New Consulting Process in Fuzzy AHP
inferredcites →https://doi.org/10.1080/03081060.2019.1650423openalex-snapshot
Chipping away at uncertainty: intent to use self-driving vehicles and the role of ride-hailing
inferredcites →https://doi.org/10.1109/access.2019.2899841openalex-snapshot
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inferredcites →https://doi.org/10.1109/access.2021.3050005openalex-snapshot
Combined Trajectory Planning and Tracking for Autonomous Vehicle Considering Driving Styles
inferredcites →https://doi.org/10.1109/icves.2018.8519488openalex-snapshot
Characterizing the Safety of Self-Driving Vehicles: A Fault Containment Protocol for Functionality Involving Vehicle Detection
inferredcites →https://doi.org/10.1109/itsc.2019.8917406openalex-snapshot
Evaluation Uncertainty in Data-Driven Self-Driving Testing
inferredcites →https://doi.org/10.1109/lars/sbr/wre.2018.00059openalex-snapshot
Diagnostic Analysis for an Autonomous Truck Using Multiple Attribute Decision Making
inferredcites →https://doi.org/10.1109/lra.2020.2966414openalex-snapshot
Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation
inferredcites →https://doi.org/10.1109/mvt.2017.2670018openalex-snapshot
Cooperative Intelligent Transport Systems in Europe: Current Deployment Status and Outlook
inferredcites →https://doi.org/10.1109/tits.2017.2665968openalex-snapshot
Cyber Threats Facing Autonomous and Connected Vehicles: Future Challenges
inferredcites →https://doi.org/10.1109/tits.2020.3017882openalex-snapshot
Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems
inferredcites →https://doi.org/10.1109/tsmc.2020.2968606openalex-snapshot
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inferredcites →https://doi.org/10.1109/tvt.2020.2979493openalex-snapshot
Stabilization Approaches for Reinforcement Learning-Based End-to-End Autonomous Driving
inferredcites →https://doi.org/10.1109/tvt.2020.2991584openalex-snapshot
Driving Maneuvers Prediction Based Autonomous Driving Control by Deep Monte Carlo Tree Search
inferredcites →https://doi.org/10.1145/2988445openalex-snapshot
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inferredcites →https://doi.org/10.1177/0018720819872672openalex-snapshot
Exploring Trust in Self-Driving Vehicles Through Text Analysis
inferredcites →https://doi.org/10.1371/journal.pone.0184952openalex-snapshot
Examining accident reports involving autonomous vehicles in California
inferredcites →https://doi.org/10.23883/ijrter.2017.3382.sk4cvopenalex-snapshot
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inferredcites →https://doi.org/10.31181/oresta19012010129sopenalex-snapshot
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inferredcites →https://doi.org/10.3141/2625-06openalex-snapshot
Risk Analysis of Autonomous Vehicles in Mixed Traffic Streams
inferredcites →https://doi.org/10.3233/jifs-162013openalex-snapshot
RETRACTED: Construction-project risk assessment by a new decision model based on De-Novo multi-approaches analysis and hesitant fuzzy sets under uncertainty
inferredcites →https://doi.org/10.3233/jifs-17401openalex-snapshot
Further research of single valued neutrosophic rough sets
inferredcites →https://doi.org/10.3390/ijerph16245082openalex-snapshot
Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method
inferredcites →https://doi.org/10.3390/sym9060082openalex-snapshot
Some Single-Valued Neutrosophic Dombi Weighted Aggregation Operators for Multiple Attribute Decision-Making
inferredcites →https://doi.org/10.4271/2017-01-1655openalex-snapshot
Cybersecurity Testing and Validation
inferredcites →https://doi.org/10.4271/2017-01-1657openalex-snapshot
Identifying Security Vulnerabilities Early in the ECU Software Development Lifecycle
inferredcites →https://doi.org/10.48550/arxiv.1811.06817openalex-snapshot
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A novel ML-MCDM-based decision support system for evaluating autonomous vehicle integration scenarios in Geneva’s public transportation
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