Space travel time information system in Stockholm City: Prototype system and algorithm developments using Avi Measurement data
2009 (English)In: 16th ITS World Congress, World Congress on Intelligent Transport Systems (ITS), 2009Conference paper (Refereed)Text
This paper illustrates our development on travel time information system and research on realtime travel time estimation and prediction algorithms using Automatic Vehicle Identification (AVI) data in the Space Travel Time Prediction (STTP) project funded by Trafikkontoret Stockholm Stad (TSS). To support the implementation of a real-time travel time information system in Stockholm using AVI data collected on urban roads, a preliminary travel time analysis platform was developed and several filtering algorithms and their modifications were implemented and evaluated for travel time estimation purposes in previous work. In the current development, we have extended the previous experiment platform into a web-based system in which travel time data are stored in data warehouses based on spatial and temporal dimensions, and real-time estimation and prediction are available through WWW Internet. In addition, we have developed an adaptive algorithm for on-line travel time prediction based on time-series modeling approaches. Especially, the Kalman Filter has been utilized for the implementation of a recursive optimal predictor, which can handle the noise and non-stationary of travel time measurements.
Place, publisher, year, edition, pages
World Congress on Intelligent Transport Systems (ITS), 2009.
AVI measurement, Estimation and prediction, Travel time, Web system, Adaptive algorithms, Algorithms, Automatic vehicle identification, Data warehouses, Forecasting, Information filtering, Information systems, Intelligent systems, Intelligent vehicle highway systems, Time varying control systems, Web browsers, Websites, World Wide Web, Algorithm development, Estimation and predictions, Real-time estimation, Time series modeling, Travel time estimation, Travel time information, Travel time prediction
IdentifiersURN: urn:nbn:se:kth:diva-187604ScopusID: 2-s2.0-84954495021OAI: oai:DiVA.org:kth-187604DiVA: diva2:935201
16th World Congress on Intelligent Transport Systems and Services, ITS 2009, 21 September 2009 through 25 September 2009
QC 201606102016-06-102016-05-252016-06-10Bibliographically approved