Estimates total air pollutant concentrations (CO or PM) near highways from both moving and idling vehicles. This model also estimates the length of queues formed idling vehicles at signalized intersections.

air pollutant concentrationsvehiclessignalized intersections.



Initial contribute: 2019-10-14


Is authorship not correct? Feed back


Application-focused categoriesNatural-perspectiveAtmospheric regions

Detailed Description

English {{currentDetailLanguage}} English

Quoted from: 

CAL3QHC is a consolidation of the CALINE-3 line source dispersion model1 and an algorithm that estimates the length of the queues formed by idling vehicles at signalized intersections. The contribution of the emissions from idling vehicles is estimated and converted into line sources using the CALINE-3 link format. CAL3QHC requires all input parameters necessary to run CALINE-3 plus the following additional inputs: idling emission rates, the number of "moving" lanes in each approach link and the signal timing of the intersection. Version 2.0 of CAL3QHC also includes three additional traffic parameters that must be provided by the user: Saturation Flow Rate, Signal Type, and Arrival Type. Figure 1 depicts the major routines of the CAL3QHC program and how they interact.

CAL3QHC is a microcomputer based model to predict carbon monoxide (CO) or other inert pollutant concentrations from motor vehicles at roadway intersections. The model includes the CALINE-3 line source dispersion model1 and a traffic algorithm for estimating vehicular queue lengths at signalized intersections. CALINE-3 is designed to predict air pollutant concentrations near highways and arterial streets due to emissions from motor vehicles operating under free flow conditions. However, it does not permit the direct estimation of the contribution of emissions from idling vehicles. CAL3QHC enhances CALINE-3 by incorporating methods for estimating queue lengths and the contribution of emissions from idling vehicles. The model permits the estimation of total air pollution concentrations from both moving and idling vehicles. It is a reliable tool2 for predicting concentrations of inert air pollutants near signalized intersections. Because idle emissions account for a substantial portion of the total emissions at an intersection, the model is relatively insensitive to traffic speed, a parameter difficult to predict with a high degree of accuracy on congested urban roadways without a substantial data collection effort. CAL3QHC requires all the inputs required for CALINE-3 including: roadway geometries, receptor locations, meteorological conditions and vehicular emission rates. In addition, several other parameters are necessary, including signal timing data and information describing the configuration of the intersection being modeled.



U.S. Environmental Protection Agency (2019). CAL3QHC, Model Item, OpenGMS,


Initial contribute : 2019-10-14



Is authorship not correct? Feed back

QR Code


{{'; ')}}



Drop the file here, orclick to upload.
Select From My Space
+ add


Cancel Submit
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
{{htmlJSON.Localizations}} + {{htmlJSON.Add}}
{{ item.label }} {{ item.value }}
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
名称 别名 {{tag}} +
系列名 版本号 目的 修改内容 创建/修改日期 作者
摘要 详细描述
{{tag}} + 添加关键字
* 时间参考系
* 空间参考系类型 * 空间参考系名称

起始日期 终止日期 进展 开发者
* 是否开源 * 访问方式 * 使用方式 开源协议 * 传输方式 * 获取地址 * 发布日期 * 发布者

编号 目的 修改内容 创建/修改日期 作者

时间分辨率 时间尺度 时间步长 时间范围 空间维度 格网类型 空间分辨率 空间尺度 空间范围
{{tag}} +
* 类型

* 名称 * 描述
示例描述 * 名称 * 类型 * 值/链接 上传

{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
Title Author Date Journal Volume(Issue) Pages Links Doi Operation
{{htmlJSON.Cancel}} {{htmlJSON.Submit}}
{{htmlJSON.Add}} {{htmlJSON.Cancel}}


Authors:  {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.

Journal:   {{articleUploading.journal}}

Date:   {{}}

Page range:   {{articleUploading.pageRange}}

Link:   {{}}

DOI:   {{articleUploading.doi}}

Yes, this is it Cancel

The article {{articleUploading.title}} has been uploaded yet.

{{htmlJSON.Cancel}} {{htmlJSON.Confirm}}