A collision avoidance scheme for autonomous vehicles inspired by human social norms

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dc.contributor.author Faisal Riaz
dc.contributor.author Sohail Jabbar
dc.contributor.author Muhammad Sajid
dc.contributor.author Mudassar Ahmad
dc.contributor.author Kashif Naseer
dc.contributor.author Nouman Ali
dc.date.accessioned 2018-11-29T05:45:38Z
dc.date.available 2018-11-29T05:45:38Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/123456789/7750
dc.description.abstract This paper introduces the novel idea of using human social norms and human emotions to improve the collision avoidance of Autonomous Vehicles (AVs). Until now, the literature has been concerned with theoretical debates regarding ethical issues connected to AVs, while no practical steps have yet been undertaken. This paper introduces the concept of an artificial society of AVs with different personalities and with social norms coded into their autopilot so that they act like well-behaved drivers. For proof of concept, the standard agent modelling tool Netlogo is utilized to simulate the artificial society of AVs. Further- more, comparisons are made with random walk-based non-social-based collision avoid- ance techniques. Extensive testing has been carried out using the behaviour space tool to determine the performance of the proposed approach regarding the number of collisions. A comparative study undertaken with a random walk method indicates that the proposed approach provides a better option for tailoring the autopilots of future AVs, while also promising to be more socially acceptable and trustworthy regarding safe road travel. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries ;doi.org/10.1016/j.compeleceng.2018.02.011
dc.subject Department of Computer Engineering en_US
dc.title A collision avoidance scheme for autonomous vehicles inspired by human social norms en_US
dc.type Article en_US


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