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Energy and Air Quality Impacts of Truck-Only Lanes: A Case Study of Interstate 75 Between Macon and McDonough, Georgia

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Listed:
  • Kim, Daejin
  • Guin, Angshuman
  • Rodgers, Michael O
  • Guensler, Randall

Abstract

Since heavy-duty truck operations can significantly affect traffic congestion, especially on road grade, the creation of exclusive lanes for trucks has been viewed as a potential alternative to reduce congestion delay, fuel consumption, and emissions. However, few studies have rigorously evaluated the effectiveness of truck-only lanes in achieving these benefits. This study demonstrates a model framework that combines a microscopic traffic simulation with emissions and microscale dispersion models to quantify the potential impacts of truck-only lanes on fuel consumption, emissions, and near-road pollutant concentrations. As a case study, the framework was used to evaluate a proposed $2 billion project to construct 40-miles of truck-only lanes on Interstate 75 (I-75) between Atlanta and Macon, Georgia (USA). The findings of this study suggest that truck-only lanes could significantly improve the traffic flow, and reduce energy, emissions, and pollutant concentrations. The research team expects that the extensive simulation results of this study help to understand the performance of truck-only lanes on a large-scale network with a heavy mixture of truck and general purpose lane traffic. The methodology and framework developed in this study can be effectively and efficiently applied to a wide variety of scenarios to evaluate the environmental impacts of other transportation projects under various conditions. View the NCST Project Webpage

Suggested Citation

  • Kim, Daejin & Guin, Angshuman & Rodgers, Michael O & Guensler, Randall, 2018. "Energy and Air Quality Impacts of Truck-Only Lanes: A Case Study of Interstate 75 Between Macon and McDonough, Georgia," Institute of Transportation Studies, Working Paper Series qt56m5b78f, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt56m5b78f
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    Keywords

    Engineering; Air quality; Fuel consumption; Genetic algorithms; Greenhouse gases; Pollutants; Traffic flow; Traffic models; Traffic simulation; Truck lanes; Trucks;
    All these keywords.

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