Suggested Citation: Guensler, Randall L., Simon P. Washington, Daniel Sperling (1994) Modeling IVHS Emission Impacts, Volume I: Background Issues and Modeling Capabilities. Institute of Transportation Studies, University of California, Davis, Research Report UCD-ITS-RR-94-17
The existing motor vehicle emission modeling regime was never developed with the intent of accurately assessing the impacts of transportation strategies at the corridor level. Hence, it should not be surprising that our modeling capabilities are limited when it comes to assessing the potential air quality impacts of intelligent vehicle and highway systems. This paper examines the potential effects of NHS upon important emission-producing vehicle activities and those parameters that affect emission rates. Important emission relationships are identified, a framework for comparative analysis is developed, and the general relationships between IVHS technology bundle characteristics and vehicle emission impacts are examined.
The primary IVHS emission-related impacts that this project addresses are associated with changes in the average speed and operating mode (acceleration, deceleration, cruise, and idle) characteristics of the vehicle fleet. The emission model algorithms associated with the average speed modeling regime are assessed in the second part of this volume.