Abstract
Travel time is important information for network measurement and ITS applications. Recently number of arterial road travel time research raised has symbolised the importance of the research field. The shortage of travel time data and uncertain of signal settings are the two major challenges of arterial road travel time research. This research adopts SCATS data and micro-simulation techniques to overcome the problems of data shortage. In terms of traffic data, SCATS provides detailed traffic signal setting data and volume data meanwhile micro-simulation produces various detailed traffic outputs for the need of developing the travel time prediction model. The result demonstrates that the developed mathematical travel time prediction model has the ability to provide reliable travel time results on arterial roads. The following research will focus on the extension of the model to deal with the prediction of travel time under over-saturation condition.
