ARTERIAL ROAD TRAVEL TIME PREDICTION
スポンサーリンク
概要
- 論文の詳細を見る
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.
- Eastern Asia Society for Transportation Studiesの論文
著者
-
ZITO Rocco
Transport Systems Centre University of South Australia
-
TAYLOR Michael
Transport Systems Centre University of South Australia
-
LIN Hong-En
Transport Systems Centre, University of South Australia
-
TAYLOR Michael
Transport System Centre School of Geoinformatics, Planning and Building University of South Australia
関連論文
- TOWARDS TRANSFERABLE INCIDENT DETECTION ALGORITHMS
- MODELLING THE IMPACTS OF TRANSPORT POLICIES TO REDUCE GREENHOUSE GAS EMISSIONS FROM URBAN FREIGHT TRANSPORT IN SYDNEY
- ARTERIAL ROAD TRAVEL TIME PREDICTION
- INCREASING ACCESSIBILITY TO WORK OPPORTUNITIES IN METROPOLITAN ADELAIDE