Microscopic modeling of the relaxation phenomenon using a macroscopic lane-changing model
Microscopic modeling of the relaxation phenomenon using a macroscopic lane-changing model
复制标题
DOI：
10.1016/j.trb.2007.10.004
复制
发表时间：
2008-07-01
影响因子：
6.8
通讯作者：
Leclercq, Ludovic
中科院分区：
文献类型：
--
作者：
Laval, Jorge A.;Leclercq, Ludovic
当前微观交通流模型所面临的一个关键挑战是捕捉在拥挤的入口匝道附近通常观察到的放松现象：车辆在进入高速公路时愿意接受非常短的间距，但此后不久就“放松”到更舒适的值。本文介绍了一个框架来解决这个问题，使用的车辆换道微观模型内的宏观理论。在该理论中，车道变化根据已在现场验证的随机过程发生，并且其平均值是车道特定宏观量的函数。因此，换道逻辑变得非常简单，相比现有的微观换道模型，只需要一个额外的参数。所得的微观模型与经验数据进行了验证。(C)2007爱思唯尔有限公司版权所有。
A crucial challenge faced by current microscopic traffic flow models is capturing the relaxation phenomena commonly observed near congested on-ramps: vehicles are willing to accept very short spacings as they enter the freeway, but "relax" to more comfortable values shortly thereafter. This paper introduces a framework to solve this problem using a macroscopic theory of vehicle lane-changing inside microscopic models. In this theory, lane changes take place according to a stochastic process that has been validated in the field, and whose mean value is a function of lane-specific macroscopic quantities. As a consequence, the lane-changing logic becomes very simple compared to existing microscopic lane-changing models, and requires only one extra parameter. The resulting microscopic model is validated with empirical data. (C) 2007 Elsevier Ltd. All rights reserved.