Autonomous driving paper index
Traffic as a social dilemma? Viewing road user behavior through a prosocial lens
One-line summary
Traffic serves as a context where road users engage in various interactions, with the outcomes of these bearing significant implications for the safety of all involved.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Traffic serves as a context where road users engage in various interactions, with the outcomes of these bearing significant implications for the safety of all involved. While traditional research on road user behavior has predominantly focused on risky behaviors, there has been an increasing emphasis on prosocial, or positive, behaviors. This paper posits that the road environment constitutes a complex social dilemma, wherein individual self-interest frequently conflicts with collective safety and efficiency. By integrating theoretical insights from literature on altruism and prosociality, including distinctions between altruistic (self-sacrificing) and mutualistic (mutually beneficial) behaviors, we advocate for a more profound conceptual understanding of prosociality within traffic contexts. Future research directions are explored, encompassing practical interventions, such as the implications for automated vehicle technologies. Ultimately, the paper proposes that enhanced theoretical clarity regarding prosocial driving can substantially contribute to the development of more effective policies and safer road environments.
Links and sources
Need this topic turned into a technical roadmap?
Full Self Driving can prepare a custom autonomous driving literature review, code map, dataset map, and B2B technology assessment.
Request B2B research
Comments