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Automated vehicle control systems need to solve social dilemmas to be disseminated
Chaos, Solitons & Fractals ( IF 5.3 ) Pub Date : 2020-05-30 , DOI: 10.1016/j.chaos.2020.109861
Jun Tanimoto , Masanori Futamata , Masaki Tanaka

A new cellular automata traffic model based on the revised S-NFS model was established to consider a mixed flow of automated and human-driven vehicles assuming a multi-lane system. The model further classified automated vehicles into two categories: (1) vehicles with adaptive cruise control and (2) those with cooperative adaptive cruise control that supports so-called platoon driving. A vehicle that favors maximizing individual payoff, which ensures minimizing its own travel time, while maximizing global traffic flux was expected as the entire society. Intensive simulations, wherein automated and human-driven vehicles were presumed as cooperative (C) and defective (D) strategies, respectively, revealed that a D-strategy is always better than a C-strategy to maximize individual payoff as long as a smaller cooperative fraction is imposed. Meanwhile, social optimal could be realized by a situation comprising only automated vehicles. Such a stag-hunt social dilemma implied that an automated vehicle control system (AVCS) cannot permeate into a population of human-driven vehicles if the dissemination stage starts from a single vehicle with an AVCS.



中文翻译:

自动化的车辆控制系统需要解决需要传播的社会难题

建立了一个基于修正的S-NFS模型的新的蜂窝自动机交通模型,以考虑采用多车道系统的自动和人力驱动车辆的混合流。该模型进一步将自动驾驶汽车分为两类:(1)具有自适应巡航控制系统的车辆和(2)具有支持所谓排驾驶的协同自适应巡航控制系统的车辆。整个社会都希望有这样一种车辆:它希望最大限度地提高个人收益,从而确保最大限度地减少自己的出行时间,同时又使全球交通流量最大化。密集模拟(其中自动和人力驱动的车辆分别被假定为合作(C)和有缺陷(D)策略)显示,只要合作社规模较小,D策略总是比C策略更好,以最大程度地提高个人收益分数。与此同时,社会最优可以通过仅包括自动车辆的情况来实现。这种棘手的社会困境意味着,如果传播阶段从具有AVCS的单个车辆开始,则自动车辆控制系统(AVCS)不会渗透到人类驾驶的车辆中。

更新日期:2020-05-30
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