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      Urban link travel time estimation using traffic states-based data fusion

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          Abstract

          Estimated travel time is a key input for many intelligent transport systems (ITS) applications and traffic management functions. There are numerous studies that show that fusing data from different sources such as global positioning system (GPS), Bluetooth, mobile phone network (MPN), and inductive loop detector (ILD) can result in more accurate travel time estimation. However, to date, there has been little research investigating the contribution of individual data sources to the quality of the final estimate or how this varies according to source-specific data quality under different traffic states. Here, three different data sources, namely bus-based GPS (bGPS) data, ILD data, and MPN data, of varying quality are combined using three different data fusion techniques of varying complexity. In order to quantify the accuracy of travel time estimation, travel time calculated using automatic number plate recognition (ANPR) data are used as the ‘ground truth’. The final results indicate that fusing multiple data together does not necessarily enhance the accuracy of travel time estimation. The results also show that even in dense urban areas, bGPS data, when combined with ILD data, can provide reasonable travel time estimates of general traffic stream under different traffic states.

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          Most cited references 15

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          Accurate freeway travel time prediction with state-space neural networks under missing data

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            Development of origin–destination matrices using mobile phone call data

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              • Record: found
              • Abstract: not found
              • Article: not found

              Urban link travel time estimation based on sparse probe vehicle data

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                Author and article information

                Contributors
                Journal
                IET-ITS
                IET Intelligent Transport Systems
                IET Intell. Transp. Syst.
                The Institution of Engineering and Technology
                1751-956X
                1751-9578
                14 February 2018
                21 March 2018
                September 2018
                : 12
                : 7
                : 651-663
                Affiliations
                Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London , London SW2 2AZ, UK
                Article
                IET-ITS.2017.0116 ITS.2017.0116.R1
                10.1049/iet-its.2017.0116

                This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

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                Pages: 0
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