Intelligent Transportation System (ITS) technology is often aimed at improving vehicle safety and mobility. Lately a number of ITS applications are also focusing on environmental issues such as reducing greenhouse gases (through improved fuel economy) and reducing overall pollutant emissions. Typical environmental ITS applications (e.g., eco-routing) focus on reducing total mass vehicle emissions for generalized areas. To date however, environmental ITS applications haven't considered emissions from a pollutant exposure point-of-view. In this paper, we introduce a new vehicle routing methodology that goes beyond minimizing overall pollutant emissions, instead minimizing pollutant exposure to localized populations along roadways. As part of this effort, a unique modeling suite has been developed to allow for the evaluation of environmental ITS applications from a traffic emissions exposure point of view. For the routing algorithm, the human intake fraction that is commonly used for quantifying emission exposure is modeled and used as a routing cost. Experimental modeling results show that the intake fraction of particulate matter for 5–14 year-old school children on school days can be reduced approximately 80%–90% on a typical schoolday with the implementation of intelligent routing algorithms.
Vehicle road navigation to minimize pollutant exposure
01.06.2013
867037 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
VEHICLE ROAD NAVIGATION TO MINIMIZE POLLUTANT EXPOSURE
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