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Modeling IVHSEmission Impacts Volume II: Assessement Of The Caline 4 Line Source Dispersion Model

  • Washington, Simon
  • Guensler, Randall
  • Sperling, Daniel
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    This report assesses the ability of the emission estimating algorithms contained in version 4 of the CALINE line source dispersion model developed by Caltrans (CALINE 4) to accurately predict carbon monoxide emissions from a fleet of motor vehicles. The CALINE 4 model contains algorithms that predict carbon monoxide emissions from discrete modal events of idle, cruise, acceleration, and deceleration. The modified CALINE 4 model algorithms are used to predict CO impacts of an applied intelligent vehicle and highway system concept, automatic vehicle identification applied to electronic tolling operations. The analyses show that electronic tolling in place of conventional toll plazas offers significant CO reductions under three different operating scenarios. The authors conclude that under certain applications, Intelligent Vehicle Highway Systems (IVHS) technologies can be beneficial to air quality.

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    File URL: http://www.escholarship.org/uc/item/6t0669zt.pdf;origin=repeccitec
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    Paper provided by Institute of Transportation Studies, UC Berkeley in its series Institute of Transportation Studies, Research Reports, Working Papers, Proceedings with number qt6t0669zt.

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    Date of creation: 01 Jan 1994
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    Handle: RePEc:cdl:itsrrp:qt6t0669zt
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    1. Washington, Simon P. & Guensler, Randall, 1994. "Carbon Monoxide Impacts of Automatic Vehicle Identification Applied to Electronic Vehicle Tolling," University of California Transportation Center, Working Papers qt92v0436v, University of California Transportation Center.
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