这个教程讲了如何在Flow里建立一个无强化学习的交通流。建立的是一个单车道环形道路。
- 组成部分
所有的仿真都由两部分构成：网络和环境（network and environment）
Network：describe the features of the transportation network used in simulation. This includes the positions and properties of nodes and edges constituting the lanes and junctions, as well as properties of the vehicles, traffic lights, inflows, etc. in the network.
包括构成车道和路口的位置以及属性，车辆的特性，红绿灯等等
Environment：on the other hand, initialize, reset, and advance simulations, and act the primary interface between the reinforcement learning algorithm and the network. Moreover, custom environments may be used to modify the dynamical features of an network.
初始化，重置，预先 模拟，作为强化学习算法和路网之间的接口。自定义的环境可以修改路网的动态特性（？）