Imperial College London
Portrait Picture

Professor Washington Yotto Ochieng, EBS, FREng

Faculty of Engineering, Department of Civil and Environmental Engineering

Head of Department of Civil and Environmental Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6104w.ochieng Website

 
 
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Assistant

 

Ms Maya Mistry +44 (0)20 7594 6100

 
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Location

 

441/442Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Qin:2017:10.1016/j.trc.2017.07.001,
author = {Qin, F and Sun, R and Ochieng, WY and Feng, S and Han, K and Wang, Y},
doi = {10.1016/j.trc.2017.07.001},
journal = {Transportation Research Part C: Emerging Technologies},
pages = {261--272},
title = {Integrated GNSS/DR/road segment information system for variable road user charging},
url = {http://dx.doi.org/10.1016/j.trc.2017.07.001},
volume = {82},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Qin,F
AU  - Sun,R
AU  - Ochieng,WY
AU  - Feng,S
AU  - Han,K
AU  - Wang,Y
DO  - 10.1016/j.trc.2017.07.001
EP  - 272
PY  - 2017///
SN  - 0968-090X
SP  - 261
TI  - Integrated GNSS/DR/road segment information system for variable road user charging
T2  - Transportation Research Part C: Emerging Technologies
UR  - http://dx.doi.org/10.1016/j.trc.2017.07.001
UR  - http://hdl.handle.net/10044/1/52817
VL  - 82
ER  -
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