Study: Traditional Traffic Models Vastly Underestimate Emissions
Conventional methods of modeling emissions from cars can produce results as much as 60% lower than actual pollution levels, according to scientists at the U.K.'s Newcastle University.
#regulations
Conventional methods of modeling emissions from cars can produce results as much as 60% lower than actual pollution levels, according to scientists at the U.K.'s Newcastle University.
The researchers note that traditional models look only at overall average traffic speed. Such methodology ignores the effect of hills, nearby buildings and stop-start traffic patterns typical of congested roadways.
The new modeling technique calculates emissions according to individual vehicle type, speed, acceleration, weather conditions and local terrain. The technique is dubbed PITHEM, short for platform for integrated traffic, health and environmental modeling.
The team tested the model in nearby Durham, helping city planners there implement measures to improve traffic flow and reduce vehicular emissions. They report results in the International Journal of Environment and Pollution.
RELATED CONTENT
-
Dubai to Test Digital License Plates
Next month Dubai will begin testing digital license plates that can display various messages, make payments and conduct other transactions.
-
Bill on Self-Driving Cars Stalls in Senate
Congressional efforts to make it easier to develop self-driving cars in the U.S. have stalled in the Senate despite strong bipartisan support.
-
CARB Predicts 10x Hike in Fuel Cell Vehicles by 2024
California expects the number of fuel cell-powered vehicles registered in the state will surge to 23,600 units in 2021 from 4,800 through May of this year and reach 47,200 by 2024.