TRB Pubsindex
Text Size:

Title:

Comparison of Estimation of Emissions Based on Static and Dynamic Traffic Assignment Models
Cover of Comparison of Estimation of Emissions Based on Static and Dynamic Traffic Assignment Models

Accession Number:

01475296

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

For the estimation of air quality and noise nuisance often the output of static traffic assignment models is used. However, static traffic models have several limitations related to the realism of dealing with saturated traffic conditions, which are important for the estimation of emissions. Static traffic assignment models predict congestion on the wrong locations and can not deal with traffic flow phenomena like blocking back. As a result, also air quality or noise bottlenecks can be predicted on wrong locations, which may lead to erroneous policy decisions concerning new infrastructural measures or implementing mitigating measures on wrong locations. Dynamic traffic assignment models can take these traffic flow phenomena into account and are therefore more suitable to estimate emissions and can in the long term replace the use of static traffic assignment models for larger networks. To provide insights in the differences between estimates based on static and dynamic traffic assignment models in realistic cases, a highway case and urban case are used applying the ARTEMIS model (substances) and AR-INTERIM-CM model (noise). The comparison for both cases shows that large differences are found in the estimates for noise (i.e. > 3 dB(A)) and also for the local estimates of substances (e.g. up to 45% for NOx emissions). When an infrastructural measure is taken the comparison shows that not only the location and extent of effect, but also the direction of effect can be different (i.e. increase versus decrease and vice versa).

Supplemental Notes:

This paper was sponsored by TRB committee ADC40 Transportation-Related Noise and Vibration.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-0546

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Wismans, Luc J J
Van den Brink, Robert M M
Brederode, Luuk J N
Zantema, Kobus J
van Berkum, Eric C

Pagination:

18p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Subject Areas:

Environment; Highways; Planning and Forecasting; I15: Environment; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-0546

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:14PM