Multi-Sensor Fusion Based on the Data from Bus GPS, Mobile Phone and Loop Detectors in Travel Time Estimation

Travel time estimation is the basis for many Intelligent Transport Systems (ITS) applications and traffic management functions. There have been numerous studies that show that fusing data from different sources such as GPS, Bluetooth, mobile phone network, and Inductive Loop Detector can result in more accurate travel time estimation. However, to date there has been little research investigating the contribution of individual sources to the quality of the final estimate or how this varies according to source-specific data quality. In this paper, three different data sources, namely bus-based GPS data, inductive loop detector data and mobile phone 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, Automatic Number Plate Recognition data are used as ‘ground truth’. The final results indicate that fusing multiple data together does not necessarily enhance the performance of travel time estimation and in particular, that attention must be paid to the correlation structure amongst different sources. The results also show that even in dense urban areas, bus-based GPS, when combined with inductive loop detectors data can provide reasonable estimates of general traffic stream travel time.

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• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting. Multisensor Fusion Based on Data from Bus GPS, Mobile Phone, and Loop Detectors in Travel Time Estimation.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Zhu, Lin
  • Guo, Fangce
  • Polak, John W
  • Krishnan, Rajesh
• Conference:
  • Transportation Research Board 96th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2017-1-8 to 2017-1-12
• Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 20p
• Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Bus transportation; Cellular telephones; Data fusion; Global Positioning System; Loop detectors; Sensors; Travel time
• Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01629501
• Record Type: Publication
• Report/Paper Numbers: 17-03472
• Files: PRP, TRIS, TRB, ATRI
• Created Date: Mar 20 2017 9:23AM