W
Washington Y. Ochieng
Researcher at Imperial College London
Publications - 262
Citations - 6120
Washington Y. Ochieng is an academic researcher from Imperial College London. The author has contributed to research in topics: Global Positioning System & GNSS applications. The author has an hindex of 31, co-authored 248 publications receiving 4980 citations. Previous affiliations of Washington Y. Ochieng include Harbin Institute of Technology & Nanjing University of Aeronautics and Astronautics.
Papers
More filters
Journal ArticleDOI
Current map-matching algorithms for transport applications: State-of-the art and future research directions
TL;DR: The constraints and limitations of existing map matching algorithms are uncovered by an in-depth literature review and some ideas for monitoring the integrity of map-matching algorithms are presented.
Journal ArticleDOI
A general map matching algorithm for transport telematics applications
TL;DR: The algorithm is used together with the outputs of an extended Kalman filter formulation for the integration of GPS and dead reckoning data, and a spatial digital database of the road network, to provide continuous, accurate and reliable vehicle location on a given road segment.
Journal ArticleDOI
A High Accuracy Fuzzy Logic Based Map Matching Algorithm for Road Transport
TL;DR: The results show that the fuzzy logic-based map matching algorithm provides a significant improvement over existing map matching algorithms both in terms of identifying correct links and estimating the vehicle position on the links.
Journal Article
Map-matching in complex urban road networks
TL;DR: An improved probabilistic Map Matching (MM) algorithm to reconcile inaccurate locational data with inaccurate digital road network data and an optimal estimation technique to determine the vehicle position on the link has been developed and is described.
Journal ArticleDOI
Evaluation of cold ironing and speed reduction policies to reduce ship emissions near and at ports
TL;DR: In this article, the authors present a consistent and transferable methodology that examines emissions reduction port policies based on ship-call data and show that emissions depend on visiting fleet, berthing durations, baseline operating pattern of calling ships, sulphur reduction policies in force and the emissions intensity of electricity supply.