Comparison of delay estimation models for signalised intersections using field observations in Shanghai
Comparison of delay estimation models for signalised intersections using field observations in Shanghai
复制标题
上海信号交叉口延误估算模型的现场观测比较
DOI：
10.1049/iet-its.2014.0280
复制
发表时间：
2016-03
影响因子：
2.7
通讯作者：
Wang, Yinhai
中科院分区：
文献类型：
--
作者：
Chen, Shiyu;Yang, Hang;Wu, Bing;Wang, Yinhai
车辆控制延迟对于评估服务水平以及设计或调整信号交叉口的控制方案非常重要。尽管如今对于具有全球定位系统（GPS）的车辆或在具有指定传感器类型和配置的位置的车辆可以直接或间接获得控制延迟，但此类数据仍然无法广泛获得。控制延迟估计的分析和实证程序仍然很重要，特别是在发展中国家。然而，很少有研究探讨现有控制延迟估计方法的有效性。本研究旨在通过使用从上海三个信号交叉口观察到的现场数据，比较四种常用模型估计的延误来解决这个问题。具体来说，该研究比较了确定性排队模型、韦伯斯特模型、公路容量手册（HCM）2000 模型和上海调整模型的延迟估计。结果表明，HCM 2000模型和上海调整模型在不同v/c比下表现相似且令人满意，而确定性排队模型在v/c比极高时具有更好的性能，但Webster模型在协调信号交叉口处大多不足。同时，通过数据分析发现信号进展、初始排队、绿灯到达车辆比例是影响模型精度的主要因素。
Vehicular control delay is important in evaluating the level of service and designing or adjusting the control schemes at signalised intersections. Although control delay may be obtained directly or indirectly nowadays for vehicles with global positioning system (GPS) or at locations with designated sensor types and configurations, such data are still not widely available. The analytical and empirical procedures for control delay estimation are still important, particularly in developing countries. However, very few studies explored the effectiveness of existing control delay estimation methods. This study intends to address this issue by comparing the delays estimated by four commonly adopted models using field data observed from three signalised intersections in Shanghai. Specifically, the study compares the delay estimates from deterministic queuing model, Webster model, highway capacity manual (HCM) 2000 model, and Shanghai adjusted model. The results indicate that HCM 2000 model and Shanghai adjusted model perform similarly and satisfactorily under various v/c ratios while deterministic queuing model has better performance when the v/c ratio is extremely high, but Webster model is mostly inadequate at coordinated signalised intersections. Meanwhile, signal progression, initial queue, proportion of vehicles arriving on green are found as main influential factors to the precision of models based on data analysis.
登录
查看更多内容
影响因子：
1.7
作者：
M. Saito;J. Walker;A. Zundel
通讯作者：
M. Saito;J. Walker;A. Zundel
影响因子：
1.7
作者：
D. Fambro;N. Rouphail
通讯作者：
D. Fambro;N. Rouphail
DOI：
10.1016/0191-2615(93)90003-s
发表时间：
1993-04-01
影响因子：
6.8
作者：
AKCELIK, R;ROUPHAIL, NM
通讯作者：
ROUPHAIL, NM
DOI：
10.1061/(asce)0733-947x(2002)128:4(347
发表时间：
2002-07
期刊：
Journal of Transportation Engineering-asce
影响因子：
--
作者：
R. Mousa
通讯作者：
R. Mousa
DOI：
10.1061/(asce)te.1943-5436.0000178
发表时间：
2010-12
期刊：
Journal of Transportation Engineering-asce
影响因子：
--
作者：
Thomas M. Brennan;J. Ernst;C. Day;D. Bullock;J. Krogmeier;Maria Martchouk
通讯作者：
Thomas M. Brennan;J. Ernst;C. Day;D. Bullock;J. Krogmeier;Maria Martchouk