A web-based support system for estimating and visualizing the emissions of diesel transit buses

Diesel transit buses are heavy-duty vehicles that are major sources of greenhouse gases and toxic pollutants. Although various models have been used to estimate their emissions, it has been difficult to effectively apply these estimation models due to the need for user-friendly interfaces, the large amounts of underlying data, and the potential data inaccuracy. In this paper, we present a web-based support system developed for transit operators who need to estimate and visualize the emissions of diesel transit buses where a micro-scale Vehicle Specific Power approach is used to estimate emissions based on global positioning system data. Case studies show that the web-based support system provides a user-friendly environment that makes it easier to apply emission estimation methodologies and visualize emissions.

[1]  Joda Wormhoudt,et al.  Real-time measurements of nitrogen oxide emissions from in-use New York City transit buses using a chase vehicle. , 2005, Environmental science & technology.

[2]  H Christopher Frey,et al.  Road Grade Estimation for On-Road Vehicle Emissions Modeling Using Light Detection and Ranging Data , 2006, Journal of the Air & Waste Management Association.

[3]  Henning Sten Hansen,et al.  A Danish decision-support GIS tool for management of urban air quality and human exposures , 2001 .

[4]  Francois Dion,et al.  Using Global Positioning System Data for Field Evaluation of Energy and Emission Impact of Traffic Flow Improvement Projects: Issues and Proposed Solutions , 2001 .

[5]  Haibo Zhai,et al.  Link-Based Emission Factors for Heavy-Duty Diesel Trucks Based on Real-World Data , 2008 .

[6]  Haibo Zhai,et al.  A vehicle-specific power approach to speed- and facility-specific emissions estimates for diesel transit buses. , 2008, Environmental science & technology.

[7]  Haibo Zhai,et al.  Comparing real-world fuel consumption for diesel- and hydrogen-fueled transit buses and implication for emissions , 2007 .

[8]  Tolga Elbir.  A GIS based decision support system for estimation, visualization and analysis of air pollution for large Turkish cities , 2004 .

[9]  H. Frey,et al.  Fuel use and emissions comparisons for alternative routes, time of day, road grade, and vehicles based on in-use measurements. , 2008, Environmental science & technology.

[10]  Bruce G Wilson,et al.  Fuel Consumption, Emissions Estimation, and Emissions Cost Estimates Using Global Positioning Data , 2007, Journal of the Air & Waste Management Association.

[11]  José Luis Jiménez-Palacios,et al.  Understanding and quantifying motor vehicle emissions with vehicle specific power and TILDAS remote sensing , 1999 .

[12]  Nigel N Clark,et al.  Factors Affecting Heavy-Duty Diesel Vehicle Emissions , 2002, Journal of the Air & Waste Management Association.