1. Air quality impact of intelligent transportation system actions used in a decision support system for adaptive traffic management
- Author
-
Vranckx, S, Lefebvre, W, Van Poppel, M, Theunis, J, Beckx, C, Mascia, M, Hu, J, North, R, Kobl, R, Mills, J, Dahlem, D, Litzenberger, M, and Commission of the European Communities
- Subjects
Decision support system ,Engineering ,05 Environmental Sciences ,traffic management ,Environmental Sciences & Ecology ,Environmental pollution ,emission reduction ,Glasgow ,010501 environmental sciences ,Management, Monitoring, Policy and Law ,black carbon ,01 natural sciences ,09 Engineering ,Advanced Traffic Management System ,Transport engineering ,dispersion modelling ,decision-support-system ,Waste Management and Disposal ,Intelligent transportation system ,Air quality index ,0105 earth and related environmental sciences ,InSync adaptive traffic control system ,Science & Technology ,traffic pollutants ,business.industry ,Atmospheric dispersion modeling ,Pollution ,MODEL CHAIN ,STREAMS Integrated Intelligent Transport System ,urban air quality ,ComputerSystemsOrganization_MISCELLANEOUS ,15 Commerce, Management, Tourism And Services ,ITS ,environmental pollution ,business ,Life Sciences & Biomedicine ,Environmental Sciences ,Graz - Abstract
The presented traffic control system (CARBOTRAF) combines real-time monitoring of traffic and air pollution with simulation models for traffic, emission and local air quality predictions to deliver on-line recommendations for alternative adaptive traffic management. The aim of introducing a CARBOTRAF system is to reduce BC and CO2 emissions and improve air quality by optimising the traffic flows. A chain of models combines microscopic traffic simulations, emission models and air quality simulations for a range of traffic demand levels and intelligent transport system (ITS) actions. These ITS scenarios simulate combinations of traffic signal optimisation plans and variable messaging systems. The real-time decision support system uses these simulations to select the best traffic management in terms of traffic and air quality. In this paper the modelled effects of ITS measures on air quality are analysed with a focus on BC for urban areas in two European cities, Graz and Glasgow.
- Published
- 2015