Dear Spiral user, We’re pleased to introduce Helix, https://helix.imperial.ac.uk/ Imperial’s new repository for research datasets. Please use Helix for all future dataset deposits. There is no change to Spiral - continue depositing as usual. For queries, contact the Research Data Management team at rdm-enquiries@imperial.ac.uk. Kind regards, the Spiral Team. The Spiral team
Integrated GNSS/DR/road segment information system for variable road user charging
File(s)
Author(s)
Qin, F
Sun, R
Ochieng, WY
Feng, S
Han, K
Type
Journal Article
Abstract
Road User Charging (RUC) is designed to reduce congestion and collect revenue for the maintenance of transportation infrastructure. In order to determine the charges, it is important that appropriate Road User Charging Indicators (RUCI) are defined. This paper focusses on Variable Road User Charging (VRUC) as the more dynamic and flexible compared to Fixed Road User Charging (FRUC), and thus is a better reflection of the utility of the road space. The main issues associated with VRUC are the definition of appropriate charging indicators and their measurement. This paper addresses the former by proposing a number of new charging indicators, considering the equalization of the charges and marginal social cost imposed on others. The measurement of the indicators is addressed by a novel data fusion algorithm for the determination of the vehicle state based on the integration of Global Navigation Satellite Systems (GNSS) with Dead Reckoning (DR) and road segment information. Statistical analyses are presented in terms of the Required Navigation Performance (RNP) parameters of accuracy, integrity, continuity and availability, based on simulation and field tests. It is shown that the proposed fusion model is superior to positioning with GPS only, and GPS plus GLONASS, in terms of all the RNP parameters with a significant improvement in availability.
Date Issued
2017-07-07
Date Acceptance
2017-07-02
Citation
Transportation Research Part C: Emerging Technologies, 2017, 82, pp.261-272
URI
DOI
ISSN
0968-090X
Publisher
Elsevier
Start Page
261
End Page
272
Journal / Book Title
Transportation Research Part C: Emerging Technologies
Volume
82
Copyright Statement
© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects
Science & Technology
Technology
Transportation Science & Technology
Transportation
Road user charging indicator
Particle filter
GNSS integration
Intelligent transportation systems
TECHNOLOGIES
PERFORMANCE
ALGORITHM
LONDON
IMPACT
NOISE
Publication Status
Published