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：我们提出了一种创新框架——众包自主交通仿真（CATS）框架，旨在安全实施并实现有序交通流。首先，我们利用经济学理论对CATS框架进行语义描述，构建驾驶员间的耦合约束，其中驾驶员通过利用交通资源和驾驶信用相互监控。随后，我们引入了一种基于情感的交通仿真方法，该方法利用韦伯-费希纳定律将经济因素融入驾驶员行为。仿真结果表明，CATS框架能够显著减少交通事故并改善城市交通状况。