We present an innovative framework, Crowdsourcing Autonomous Traffic Simulation (CATS) framework, in order to safely implement and realize orderly traffic flows. We firstly provide a semantic description of the CATS framework using theories of economics to construct coupling constraints among drivers, in which drivers monitor each other by making use of transportation resources and driving credit. We then introduce an emotion-based traffic simulation, which utilizes the Weber-Fechner law to integrate economic factors into drivers' behaviors. Simulation results show that the CATS framework can significantly reduce traffic accidents and improve urban traffic conditions.

翻译：我们提出了一个创新框架,即 " 众包自动交通模拟(CATS) " 框架,以便安全地实施和实现有秩序的交通流动;我们首先用经济学理论对CATS框架进行语义描述,用经济学理论在驾驶员之间建立联动限制,其中驾驶员利用运输资源和驾驶信贷相互监测;然后我们引入基于情感的交通模拟,利用Weber-Fechner法律将经济因素纳入驾驶员行为。模拟结果表明,CATS框架可以大大减少交通事故,改善城市交通条件。