单车道多车道街道上的自主交通流
Flow of autonomous traffic on a single multi-lane street
摘要：
我们调查的行为，原来的交通模型。该模型考虑了一条多车道的街道，由自动驾驶车辆从一端指向另一端。车道没有内在的方向性，车辆在任何一端和任何车道随机插入。避免碰撞是全自动的，为了提高街道的运输能力，车辆形成火车，它们可以高速行驶，非常接近前面的车辆。我们报告了各种条件下车辆的渡越时间：车辆插入概率和不平衡及其最大速度分布。我们还概述了一个有趣的功能的模型，许多车辆的复杂的相互作用是相当强大的比一个简单的“保持左”的指令，每个车辆应该遵守。
英文摘要：
We investigate the behaviour of an original traffic model. The model considers a single multi-lane street, populated by autonomous vehicles directed from either end to the other. Lanes have no intrinsic directionality, and the vehicles are inserted at random at either end and any lane. Collision avoidance is fully automatic and, to enhance the transport capacity of the street, vehicles form_trains_ in which they may travel at high speed quite close to the vehicle in front. We report on the transit times for vehicles under a wide variety of conditions: vehicle insertion probability & imbalance and their maximum speed distribution. We also outline an interesting feature of the model, that the complex interactions of many vehicles are considerably more powerful than a simple "keep left" directive which each vehicle should obey.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
