Highway travel time estimation using multiple data sources

Jure Pirc; Goran Turk; Marijan Žura

Highway travel time estimation using multiple data sources

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Author(s): Jure Pirc ¹ ; Goran Turk ² ; Marijan Žura ²
- Affiliations: 1: Q-Free Traffic Design, Kamniška 50, 1000 Ljubljana, Slovenia ;
  2: Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova 2, 1000 Ljubljana, Slovenia
Source: Volume 10, Issue 10, December 2016, p. 649 – 657
DOI: 10.1049/iet-its.2015.0211 , Print ISSN 1751-956X, Online ISSN 1751-9578

Received 14/10/2015, Accepted 12/08/2016, Revised 19/05/2016, Published 17/08/2016

Travel time is considered the most useful travel related information as it is the best indicator of the level of service on the road stretch and is completely understandable to all users. Various technologies for measuring traffic flow parameters provide the optimal background for the implementation of data fusion schemes to gain the maximum accuracy from the combination of the available data. The objective of the data fusion is to gain knowledge of predicted departure based travel time from the two outdated accurate measurements. In this paper a new and simple algorithm is proposed for short-term highway travel time prediction by fusing direct travel time measurements estimated by vehicle reidentification, indirect travel time estimated by the extrapolation of spot speed measurements and additional qualitative data in terms of the level of service. The proposed algorithm has been in operation on the A1 highway in Slovenia for more than two years and has shown robust behaviour in the real world environment. The algorithm is capable of providing short-term travel time prediction in real time with a 9 % better accuracy than the presently used travel time prediction algorithms.

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