Road vehicle emissions have become a main aspect related to the quality of life and sustainability. The aim of this study is to develop a method to estimate pollutant emissions that takes into account the daily variations of traffic flow conditions and parameters relative to the different state of vehicles and that can easily be applied to evaluate the results of both on-line and off-line traffic management strategies in wide congested urban networks. The method has been tested in the real case of the city of Brindisi (Italy), demonstrating its reliability and efficiency.
Emission dynamic meso-simulation model to evaluate traffic strategies in congested urban networks
IET Intelligent Transport Systems ; 9 , 3 ; 333-342
2015-04-01
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Brindisi , emission dynamic mesosimulation model , life quality , traffic flow conditions , road vehicles , traffic strategy evaluation , traffic information systems , Italy , off-line traffic management strategies , road vehicle emissions , wide congested urban networks , reliability , sustainable development , pollutant emission estimation , on-line traffic management strategies , air pollution
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