Modified Volume-Delay Function Based on Traffic Fundamental Diagram: A Practical Calibration Framework for Estimating Congested and Uncongested Conditions

Q Engineering
Yuyan “Annie” Pan, Han Zheng, Jifu Guo, Yanyan Chen
{"title":"Modified Volume-Delay Function Based on Traffic Fundamental Diagram: A Practical Calibration Framework for Estimating Congested and Uncongested Conditions","authors":"Yuyan “Annie” Pan, Han Zheng, Jifu Guo, Yanyan Chen","doi":"10.1061/jtepbs.teeng-7903","DOIUrl":null,"url":null,"abstract":"Traffic congestion occurs when there is a mismatch between the demand for road use and the available capacity. The volume-delay function (VDF) can quantify the relationship between travel time and the volume of traffic on a particular link, and also provide insight into the state of a traffic system, such as whether it is congested or uncongested. In this paper, we present a VDF model that is based on the fundamental diagram and has two main components: (1) an improved VDF with fewer parameters that can handle both congested and uncongested traffic conditions, based on a fundamental diagram, and (2) a model-based VDF practical calibration framework for practical traffic applications that can determine key parameters for a link in a corridor. Our experiments using corridors in Los Angeles and Beijing demonstrate that our proposed analytical methods effectively calculate road impedance under congested conditions. The results indicate that the proposed model is superior to other existing models in terms of the root mean squared error (RMSE) and mean absolute error (MAE). In addition, our calibrated results indicate that the travel time index (TTI) in Los Angeles is 2.12, in Beijing is 1.74. The model proposed in this paper provides a useful calibration tool for enhancing model performance and improving the accuracy of travel time and speed estimates in traffic assignment.","PeriodicalId":49972,"journal":{"name":"Journal of Transportation Engineering","volume":"105 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Transportation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1061/jtepbs.teeng-7903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1

Abstract

Traffic congestion occurs when there is a mismatch between the demand for road use and the available capacity. The volume-delay function (VDF) can quantify the relationship between travel time and the volume of traffic on a particular link, and also provide insight into the state of a traffic system, such as whether it is congested or uncongested. In this paper, we present a VDF model that is based on the fundamental diagram and has two main components: (1) an improved VDF with fewer parameters that can handle both congested and uncongested traffic conditions, based on a fundamental diagram, and (2) a model-based VDF practical calibration framework for practical traffic applications that can determine key parameters for a link in a corridor. Our experiments using corridors in Los Angeles and Beijing demonstrate that our proposed analytical methods effectively calculate road impedance under congested conditions. The results indicate that the proposed model is superior to other existing models in terms of the root mean squared error (RMSE) and mean absolute error (MAE). In addition, our calibrated results indicate that the travel time index (TTI) in Los Angeles is 2.12, in Beijing is 1.74. The model proposed in this paper provides a useful calibration tool for enhancing model performance and improving the accuracy of travel time and speed estimates in traffic assignment.
基于交通基本图的改进体积延迟函数:一种估计拥挤与非拥挤的实用校准框架
当道路使用需求与可用容量不匹配时,就会出现交通挤塞。容量延迟函数(VDF)可以量化特定路段上的旅行时间和交通量之间的关系,还可以洞察交通系统的状态,例如是否拥挤或不拥挤。在本文中,我们提出了一个基于基本图的VDF模型,该模型有两个主要组成部分:(1)基于基本图的改进的参数较少的VDF,可以处理拥塞和非拥塞交通状况;(2)基于模型的VDF实际校准框架,用于实际交通应用,可以确定走廊中链路的关键参数。我们在洛杉矶和北京的走廊上进行的实验表明,我们提出的分析方法有效地计算了拥堵条件下的道路阻抗。结果表明,该模型在均方根误差(RMSE)和平均绝对误差(MAE)方面优于现有模型。此外,我们的校准结果表明,洛杉矶的旅行时间指数(TTI)为2.12,北京为1.74。本文提出的模型为提高模型性能,提高交通分配中行驶时间和速度估计的准确性提供了一个有用的标定工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Transportation Engineering
Journal of Transportation Engineering 工程技术-工程:土木
CiteScore
1.22
自引率
0.00%
发文量
0
审稿时长
3.6 months
期刊介绍: Information not localized
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信