论文标题
基于Simra数据集的Sumo的现实骑自行车的模型
A Realistic Cyclist Model for SUMO Based on the SimRa Dataset
论文作者
论文摘要
增加自行车交通的模态份额，以减少碳排放，减少城市汽车交通并改善公民的健康，这需要从以汽车为中心的城市规划中转移。为此，交通策划者通常依靠诸如相扑之类的仿真工具，使他们能够在实施之前研究施工变化的影响。同样，对这里骑自行车的脆弱道路使用者的研究也使用这样的模型来评估基于通信的道路交通安全系统的性能。但是，相扑中的骑自行车的模型非常不精确，因为相扑骑自行车的人的行为就像慢速汽车或快速行人，因此对自行车交通的模拟结果产生了怀疑。在本文中，我们分析了骑自行车的人在大型现实世界周期轨道数据集中的加速度，速度和交点的左转行为。我们使用结果来得出改进的骑自行车的模型，并在Sumo中实现它。
Increasing the modal share of bicycle traffic to reduce carbon emissions, reduce urban car traffic, and to improve the health of citizens, requires a shift away from car-centric city planning. For this, traffic planners often rely on simulation tools such as SUMO which allow them to study the effects of construction changes before implementing them. Similarly, studies of vulnerable road users, here cyclists, also use such models to assess the performance of communication-based road traffic safety systems. The cyclist model in SUMO, however, is very imprecise as SUMO cyclists behave either like slow cars or fast pedestrians, thus, casting doubt on simulation results for bicycle traffic. In this paper, we analyze acceleration, velocity, and intersection left-turn behavior of cyclists in a large dataset of real world cycle tracks. We use the results to derive an improved cyclist model and implement it in SUMO.
