摘要: |
The evaluation of many transportation network improvements is commonly conducted by first estimating average speeds from a transportation/traffic model and then converting these average speeds into emission estimates based on an environmental model such as MOBILE. Unfortunately, recent research has shown that certainly average speed, and perhaps even simple estimates of the amount of delay and the number of stops on a link, are insufficient measures to fully capture the impact of ITS strategies such as traffic signal coordination. Specifically, it has been shown that for the same average speed, one can observe widely different instantaneous speed and acceleration profiles, each resulting in very different fuel consumption and emission levels. In attempt to address this limitation, this paper illustrates the application of a series of multi-variate fuel consumption and emission prediction models, both within a traffic simulation model of a signalized arterial, and directly to instantaneous speed and acceleration data from floating cars traveling down a similar signalized arterial. |