Evaluation of carbon reduction traffic measures employing a novel approach to micro-simulation modelling of real-world emissions

摘要

Local Authorities and Governments are under pressure to meet air quality and carbon emissionstargets, however in several cases high level scale modelling outputs do not truly representtraffic conditions in local urban environments and associated hot spot pollutant concentrationswhich are determined by the built environment (canyons, road orientation, etc.). To address thisgap in knowledge, Newcastle University recently developed an Integrated Database andAssessment Platform (NUIDAP), to bring together data from pervasive environmental andtraffic monitoring systems with existing information, such as ITS and UTMC sources andtraffic models. This paper presents the preliminary analysis and results that the NewcastleTeam, with the support of AMEY, made using the software platform which integrates differentdata sources in order to identify problems, understand causes and formulate the solutions to airquality and manage traffic to alleviate, even prevent, pollution hotspots.This paper describes and presents evidence and results of the use of two types of microscaleapproaches for air quality assessment, the first using novel pervasive sensors, and the secondemploying modelling using an enhanced instantaneous emission model within the AIMSUNmicrosimulator. Scenarios modelled, including speed reduction and mode shift to publictransport with reduction of traffic volumes, will be described and the outputs with and withoutthe enhanced emission model are compared.