TY - THES AB - Travel time estimation is an important function in ITS applications such as Advanced Traveller Information Systems (ATIS), Dynamic Route Guidance (DRG) and Network Performance Monitoring. These applications, when deployed for an urban area, require models that estimate travel times on urban arterial corridors with traffic signals. Most of the travel time estimation models in the literature are inductive in nature, which require vehicle travel time observations for calibration. Obtaining vehicle travel time data is both a time consuming and costly process for a single link and it is impractical to collect this information for all the links across the road network. Hence, there is a need for travel time estimation models that do not require reference vehicle travel time data for calibration. A deductive travel time estimation method based on the cumulative counts approach is presented in this thesis.The cumulative counts method can use flow counts obtained from single Inductive Loop Detectors (ILD) that are commonly deployed on urban links for the purpose of traffic control. However, the accuracy of cumulative counts method depends on the accuracy of flow counts. While flow counts from ILDs are generally considered to be reliable, they are not error free. Moreover, many of the ILDs on urban links are installed across two lanes leading to under-estimation of flow counts. An analytical model to estimate unbiased flows from cross-lane ILDs is proposed in this thesis to address this problem. The proposed analytical model is applicable to time periods when the flow rate is uniform. However, the flow rates on urban links switch between periods of high and low flow rate due to signalisation. A calibration free-platoon identification algorithm is proposed in this thesis to distinguish periods of high flow rate from periods of low flow rate.The flow counts estimated from ILDs after the application of cross-lane flow estimation model is subject to a number of other error source AU - Krishnan,R PY - 2008/// TI - Travel time estimation and forecasting on urban roads ER -