A Framework of Multiclass Travel Demand Forecasting and Emission Modelling, Incorporating Commercial Vehicle Movement for the Port City of Halifax, Canada

Abstract

This thesis develops a comprehensive Regional Transport Network Modelling framework that generates, distributes and assigns commercial vehicles along with passenger car, and estimates the resulting vehicular emission in Halifax. First, this study presents a four-stage travel demand forecasting model that accommodates truck movement within the-2011 Halifax transport network model. Heavy, medium and light truck trips are generated by utilizing GPS tracking and EPOI-information respectively. Later, the model is enhanced by incorporating delivery truck tours for-2016 by utilizing an Info-Canada-Business-Establishment-dataset. The uniqueness of this study is that a novel approach of Monte Carlo simulation technique is used to develop relevant tour attributes for delivery truck. This model also includes trip-rate analysis approach for delineating trip generation of passenger car. Both models are used to estimate vehicular emission of GHG,CO,NOx,PM2.5,PM10,SO2,THC, and VOC. The findings of this study will be beneficial for transportation professionals to develop strategies for traffic management and emission reduction.