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Semiautonomous Vehicle Risk Analysis: A Telematics-Based Anomaly Detection Approach
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scientific article published on 25 October 2018
2018
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Abstract

The transition to semiautonomous driving is set to considerably reduce road accident rates as human error is progressively removed from the driving task. Concurrently, autonomous capabilities will transform the transportation risk landscape and significantly disrupt the insurance industry. Semiautonomous vehicle (SAV) risks will begin to alternate between human error and technological susceptibilities. The evolving risk landscape will force a departure from traditional risk assessment...

Authors Cian Ryan, Finbarr Murphy, Martin Mullins
Volume Vol. 39, No. 5, pp. 1125-1140
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