AbstractsComputer Science

With the increase of traffic congestion and vehicle emission, environmental pollutionbecomes an important concern for traffic policy makers and traffic planners in theirdecision-making process. In order to study and reduce road transport emissions, anaccurate estimation of emission amount is crucial for traffic planning and management purposes. The emission value from the traffic on a given road section depends strongly on thestate of vehicles. The basis for a detailed estimation is therefore the emit rate as afunction of instantaneous vehicle state such as speed, acceleration etc. In this thesis, an application is built by integrating emission simulation with the trafficsimulator at KTH-TPMA, which is a real time application for imitating real trafficsituations, to predict emission value. The approach adopted is based on vehicle datafrom traffic simulations which serve as real world traffic data provider. With thisapplication, traffic simulation and emission simulation could be executed with adistributed computing approach. The thesis investigates how these twosimulations are implemented in a computer simulation system and theirperformance and accuracy. The major contribution of this thesis is its integrating traffic simulation with emissionsimulation to estimate reasonable emission values. It illustrates how these twosimulation applications could be integrated to provide a tool for making policy andplanning. Key Words: Emission Model Simulation, Traffic Simulator (KTH-TPMA), Distributedcomputing, CORBA and Web Service.