What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Global Positioning System
Washington Y. Ochieng mostly deals with Global Positioning System, Algorithm, Map matching, Receiver autonomous integrity monitoring and GNSS applications.
His Global Positioning System research integrates issues from Telematics and Real-time computing.
His Algorithm research includes elements of Digital mapping and Key.
His Digital mapping study combines topics from a wide range of disciplines, such as Probabilistic logic and Fuzzy logic.
His Map matching study integrates concerns from other disciplines, such as Intelligent transportation system and Road map.
His work deals with themes such as Pseudorange, Air navigation and GNSS augmentation, which intersect with Receiver autonomous integrity monitoring.
His most cited work include:
- Current map-matching algorithms for transport applications: State-of-the art and future research directions (668 citations)
- A general map matching algorithm for transport telematics applications (312 citations)
- A High Accuracy Fuzzy Logic Based Map Matching Algorithm for Road Transport (187 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Global Positioning System, GNSS applications, Air traffic control, Transport engineering and Real-time computing.
His Global Positioning System research is multidisciplinary, incorporating elements of Algorithm, Multipath propagation and Simulation.
The various areas that Washington Y. Ochieng examines in his Algorithm study include Telematics, Map matching, Satellite and Ranging.
He has included themes like Satellite navigation, Electronic engineering, Remote sensing and Intelligent transportation system in his GNSS applications study.
His Transport engineering research is multidisciplinary, relying on both Risk analysis, Key and Aviation safety.
His work carried out in the field of Real-time computing brings together such families of science as Dead reckoning, Embedded system, GPS/INS and Precise Point Positioning.
He most often published in these fields:
- Global Positioning System (25.94%)
- GNSS applications (18.80%)
- Air traffic control (17.29%)
What were the highlights of his more recent work (between 2015-2021)?
- Global Positioning System (25.94%)
- Operations research (11.28%)
- Real-time computing (16.54%)
In recent papers he was focusing on the following fields of study:
Washington Y. Ochieng mainly focuses on Global Positioning System, Operations research, Real-time computing, Transport engineering and Risk analysis.
The study incorporates disciplines such as Algorithm, Non-line-of-sight propagation and Multipath propagation in addition to Global Positioning System.
Algorithm connects with themes related to Satellite in his study.
His Real-time computing research incorporates themes from GNSS applications, Wide area multilateration and Automatic dependent surveillance-broadcast.
His GNSS applications research is multidisciplinary, incorporating perspectives in Simulation, Inertial measurement unit and Collision avoidance.
His work in the fields of Transport engineering, such as Urban road, intersects with other areas such as Community analysis.
Between 2015 and 2021, his most popular works were:
- A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction (33 citations)
- Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models (26 citations)
- A Novel Online Data-Driven Algorithm for Detecting UAV Navigation Sensor Faults (19 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Computer network
His scientific interests lie mostly in Global Positioning System, GNSS applications, Real-time computing, Operations research and Risk analysis.
His work on GPS signals as part of general Global Positioning System research is frequently linked to Particle filter, thereby connecting diverse disciplines of science.
His GPS signals study also includes
- Pattern recognition and related Residual,
- Feature together with Algorithm.
His GNSS applications study incorporates themes from False alarm, Spoofing attack, No-fly zone, Noise and Electronic engineering.
His research in Real-time computing intersects with topics in Noise floor, Transmission, Vehicle detection and Data collection.
His Risk analysis study incorporates themes from Transport engineering, Analytic network process, Human reliability, Index and Safety management systems.
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