Urban link travel time estimation using traffic states based data fusion

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Title: Urban link travel time estimation using traffic states based data fusion
Authors: Zhu, L
Guo, F
Polak, J
Krishnamoorthy, R
Item Type: Journal Article
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.
Issue Date: 1-Sep-2018
Date of Acceptance: 29-Jan-2018
URI: http://hdl.handle.net/10044/1/56545
DOI: https://dx.doi.org/10.1049/iet-its.2017.0116
ISSN: 1751-956X
Publisher: Institution of Engineering and Technology
Start Page: 651
End Page: 663
Journal / Book Title: IET Intelligent Transport Systems
Volume: 12
Issue: 7
Copyright Statement: © 2018 IEEE. This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Sponsor/Funder: Engineering and Physical Sciences Research Council
Engineering and Physical Sciences Research Council
Keywords: Science & Technology
Transportation Science & Technology
traffic engineering computing
intelligent transportation systems
sensor fusion
urban link travel time estimation
traffic states-based data fusion
intelligent transport systems
ITS applications
traffic management functions
global positioning system
mobile phone network
inductive loop detector
bus-based GPS
bGPS data
ILD data
MPN data
automatic number plate recognition
ANPR data
ground truth
0906 Electrical And Electronic Engineering
Logistics & Transportation
Publication Status: Published
Online Publication Date: 2018-08-16
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering

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