The current trends towards vehicle-sharing, electrification, and autonomy are predicted to transform mobility. Combined appropriately, they have the potential of significantly improving urban mobility. However, what will come after most vehicles are shared, electric, and autonomous remains an open question, especially regarding the interactions between vehicles and how these interactions will impact system-level behaviour. Inspired by nature and supported by swarm robotics and vehicle platooning models, this paper proposes a future mobility in which shared, electric, and autonomous vehicles behave as a bio-inspired collaborative system. The collaboration between vehicles will lead to a system-level behaviour analogous to natural swarms. Natural swarms can divide tasks, cluster, build together, or transport cooperatively. In this future mobility, vehicles will cluster by connecting either physically or virtually, which will enable the possibility of sharing energy, data or computational power, provide services or transfer cargo, among others. Vehicles will collaborate either with vehicles that are part of the same fleet, or with any other vehicle on the road, by finding mutualistic relationships that benefit both parties. The field of swarm robotics has already translated some of the behaviours from natural swarms to artificial systems and, if we further translate these concepts into urban mobility, exciting ideas emerge. Within mobility-related research, the coordinated movement proposed in vehicle platooning models can be seen as a first step towards collaborative mobility. This paper contributes with the proposal of a framework for future mobility that integrates current research and mobility trends in a novel and unique way.
翻译:汽车共享、电气化和自主的当前趋势预计会改变机动性。在适当的情况下,它们具有大幅改善城市流动性的潜力。然而,在大多数车辆共享、电气化和自主后,自然群群可以区分任务、集群、共同建设或合作运输。在未来的机动性中,车辆将集中起来,将实际或虚拟地连接起来,从而有可能共享能源、数据或计算能力、提供服务或运输货物,等等。车辆将与属于同一车队的车辆合作,或与道路上的任何其他车辆合作,找到有益于双方的相互性关系。 暖化机器人领域已经将当前动态中的一些行为转化为与自然暖化有关的机动性研究模式,如果我们将这些动态模式转化为与机动性有关的机动性模型,那么,就能够将这些动态性模型转化为人造系统。