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DC FieldValueLanguage
dc.contributorDepartment of Civil and Structural Engineeringen_US
dc.creatorTong, Hing-yan-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/1121-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleVehicular emissions and fuel consumption at urban traffic signal controlled junctionsen_US
dcterms.abstractThis research intends to develop a simulation model that predicts vehicular delay, emissions and fuel consumption of individual vehicles travelling in a selected urban signal controlled road network. ON-ROAD emission and fuel consumption data are collected by instrumented test vehicles travelling along selected routes in the urban areas. Average and modal emission and fuel consumption factors are derived. Based on the collected emission and fuel consumption data, an ON-ROAD modal emission and fuel consumption model for vehicles travelling in the urban areas has also been developed. Piecewise interpolation and negative exponential functions are employed to model instantaneous emission and fuel consumption rates. In the mean time an urban driving cycle has been for the first time developed for Hong Kong in the present study based on on-the-road speed data. To simulate the modal movements of vehicles at signal controlled junctions, a new approach adopting the neural network technique was employed. A discharge headway model (NNDHM) was developed. The NNDHM model estimates discharge headway of individual vehicle queued at signal controlled junctions. It is an ideal tool to investigate the effect of variables on saturation flows and capacities that would not be easily characterised by direct measurement. Finally, a microscopic traffic simulation model, TREFSIM, was developed for the estimation of vehicle journey time, average speed, delay, fuel consumption and emissions in urban traffic signal controlled road network. It is a time-based microscopic traffic simulation model. The TREFSIM model incorporated the ON-ROAD emission and fuel consumption model as well as the NNDHM model and other algorithms governing vehicle movements. The microscopic structure of the model makes the simulated vehicle emissions and fuel consumption sensitive to changes in vehicle behaviours due to traffic signals. The TREFSIM model was compared with SATURN and PARAMICS in a selected urban network. It produces comparative flow, delay, emissions and fuel consumption results.en_US
dcterms.extentxii, 276 leaves : ill. ; 30 cmen_US
dcterms.issued2001en_US
dcterms.educationalLevelAll Doctorateen_US
dcterms.educationalLevelPh.D.en_US
dcterms.LCSHAutomobiles -- Motors -- Exhaust gasen_US
dcterms.LCSHAutomobiles -- Fuel consumptionen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsopen accessen_US

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