Level of Service of Multi-Lane highway Section under fluctuated traffic flow condition: a state-dependent Discrete-Event Simulation framework

Afaq Khattak
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引用次数: 1

Abstract

Multi-lane highways have moderate to high capacity and designed to provide a balance between traffic mobility and accessibility. The assessment of Level of Service (LOS) of multi-lane highways is traditionally based on the Highway Capacity Manual (HCM). However, the HCM method does not takes into account randomness in vehicular flow as well as state-dependent speed of vehicles on multi-lane highways, which do not depict actual conditions. To aid the traffic and highway designers as well as to capture the randomness in the vehicular arrival flow and state-dependent speed, a Discrete-Event Simulation (DES) framework using the Phase-Type Distribution is developed. The Phase-Type distribution takes into account randomness in the vehicular flow. The LOS computation under different settings of design parameters shows that the vehicular arrival rate, Squared Coefficient of Variation (SCV) in the inter-arrival time and number of lanes significantly affects the LOS of multi-lane highways. The length of multi-lane section also has an influence on the LOS, which is ignored by the HCM. The proposed DES framework will assist the traffic and highway designers to make smart choices in LOS computation.
波动交通流条件下多车道公路路段服务水平:一种状态相关离散事件仿真框架
多车道高速公路具有中等至高容量,旨在提供交通机动性和可达性之间的平衡。传统的多车道公路服务水平评估是基于《公路通行能力手册》(HCM)。然而,HCM方法没有考虑到车辆流的随机性以及多车道公路上车辆的状态依赖速度,这并不能描述实际情况。为了帮助交通和公路设计人员捕捉车辆到达流和状态相关速度的随机性,提出了一种基于相型分布的离散事件仿真(DES)框架。相型分布考虑了车辆流的随机性。不同设计参数设置下的LOS计算表明,车辆到达率、到达间隔时间的平方变异系数(SCV)和车道数对多车道公路的LOS有显著影响。多车道路段的长度也会对LOS产生影响,但HCM忽略了这一点。提出的DES框架将有助于交通和公路设计人员在LOS计算中做出明智的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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