Studies on the Methodology of a Hybrid Model for Emission Dispersion Analysis

TL;DR: In this paper, the authors proposed an analysis methodology for air quality improvement effect of transport and environment policy that are used for mobile pollution sources, considering changes of traffic of road transport sources and air pollutant emission, the changes of atmospheric dispersion of air pollutants and the effects on the health of local residents.

Abstract: Recent interests in both vehicle emissions and public health have facilitated the development of more eco-friendly transportation systems. This study proposed an integrated simulation approach for evaluating the effectiveness of speed management strategies from the various perspectives including safety, operational efficiency, and environmental compatability. Those simulation methods include driving simulation, traffic flow simulation, emissions simulation, and air dispersion simulation. An essence of the proposed simulation framework is to create the systematic connection of each simulation method toward the evaluation of effectiveness of speed management strategies. As an example, chicane and speed hump in residential area were evaluated by the proposed method. It is expected that the proposed simulation-based approach would be effectively used for the decision-making process in selecting better alternatives considering both safety and public health.

TL;DR: In this article, the authors evaluate air quality improvements based on transportation analysis models and compare potential air quality reduction alternatives by analyzing changes in local emissions and the corresponding predicted impacts on public health.

TL;DR: In this article, vehicle microscopic simulation and emission models were combined with an air pollutant dispersion model and a health assessment tool to quantify some social costs resulting from urban freight transportation in the Alameda corridor that links the Ports of Los Angeles and Long Beach to downtown Los Angeles.

TL;DR: In this paper, the authors explore a new approach to estimate vehicle emission impacts of freight corridor operations related to the port area, particularly those associated with heavy duty diesel trucks, using a microscopic traffic simulation model to capture detailed vehicle trajectories and congestion effects.

TL;DR: In this article, the authors investigated the extent to which traffic and road related characteristics such as traffic volumes, speeds and road weather data including wind speed, temperature and humidity, as well as the road geometry affect the air pollutant emission.

TL;DR: In this article, the authors describe the coupling of the Community Multiscale Air Quality (CMAQ) modeling system (Byun and Ching, 1999) and the ADMS model (CERC, 2006) for predicting hourly NOxNO2-O3 concentrations over a detailed (20m x 20m) grid in London in 2006.