creator Meng, Xiao advisor Li, Zongzhi Forecasting is the procedure of making declarations about future events whose actual outcomes have not yet been observed. A lot of decisions are made based on predictions of future unknown events. Knowing the essence of forecasting, it is not hard to interpret what traffic volume forecasting is. Traffic volume forecasting is the process of estimating the number of vehicles that will be on a planned highway in the future. It plays important roles in different aspects of transportation and related field, such as highway level of service analysis, measure of effectiveness, highway improvement and expansion, geometric design and air quality analysis, etc. A good forecast is needed for decision making in future land use and transportation planning. City and county planners can provide useful information about land use planning and projected developments. County engineers may provide information about future county projects that may cause detours and changes in traffic patterns along a trunk highway. Highway designers need forecasted traffic volumes to ensure proper geometric designs. Since short term forecasting has been a hot topic on research, many statistical methods have been used, such as the mean, historical moving average, exponential smoothing, and autoregressive integrated moving average. Among them, Box Jenkins method (Autoregressive Integrated Moving Average) has been found as the best model on forecasting of time series data with seasonality and trend. Submitted by Liana Khananashvili (khananashvili@iit.edu) on 2013-08-12T20:55:25Z No. of bitstreams: 1 Statistical Methods for Large-Scale Transportation Network Traffic Volume Forecasting_Meng,Xiao.pdf: 1741351 bytes, checksum: 811a3a1a37834ddd7d72609bfe3fb676 (MD5) Made available in DSpace on 2013-08-12T20:55:25Z (GMT). No. of bitstreams: 1 Statistical Methods for Large-Scale Transportation Network Traffic Volume Forecasting_Meng,Xiao.pdf: 1741351 bytes, checksum: 811a3a1a37834ddd7d72609bfe3fb676 (MD5) Previous issue date: 2012-12 M.S. in Civil Engineering, December 2012 2012-11-27 2012-12 http://hdl.handle.net/10560/3029 en Thesis born digital application/pdf In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access CAEE / Civil, Architectural, and Environmental Engineering Illinois Institute of Technology Affiliated department