A Framework for Traffic Planning and Forecasting using Micro-Simulation Calibrations

David Tien, W. L. Loh, Yung. C. Liang, Evgeni Nurminski

Abstract


This paper presents the application of micro-simulation for traffic planning and forecasting, and proposes a new framework to model complex traffic conditions by calibrating and adjusting traffic parameters of a micro-simulation model. By using an open source micro-simulator package, TRANSIMS, in this study, animated and numerical results were produced and analysed. The framework of traffic model calibration was evaluated for its usefulness and practicality. Finally, we discuss future applications such as providing end users with real time traffic information through Intelligent Transport System (ITS) integration.

Keywords


Traffic Congestion; Traffic Planning; Traffic Modelling; Micro-Simulations; TRANSIMS

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