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Edge Computing-Aided Dynamic Wireless Charging and Trip Planning of UAVs
Published 2025-01-01“…To address these issues, this study proposes an integrated system design combining dynamic wireless charging (DWC), intelligent trip planning, and intelligent edge computing (IEC). …”
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CALCULATION OF MATRIX CORRESPONDENCE WITH THE USE OF PARALLEL COMPUTING TECHNOLOGIES
Published 2016-08-01Subjects: Get full text
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Adaptive Hybrid Tripping Microgrid Protection Strategy With Embedded Hardware Validation
Published 2025-01-01Get full text
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Deterioration in Physical Engine Oil Properties after Different Trip Length
Published 2021-07-01Get full text
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An analysis of ridesharing trip time using advanced text mining techniques
Published 2023-12-01Get full text
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A novel group tour trip recommender model for personalized travel systems
Published 2025-01-01Get full text
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Pix2Trips - a system supporting small groups of urban tourists
Published 2021-09-01Get full text
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Analysis of Bus Trip Characteristics and Demand Forecasting Based on NARX Neural Network Model
Published 2018-01-01Get full text
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Predicting Trip Duration and Distance in Bike-Sharing Systems Using Dynamic Time Warping
Published 2025-12-01Get full text
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Examining trip-level errors in passively collected mobile device data for data quality assurance.
Published 2025-01-01“…We designed a distributed-computing workflow to quantify the errors by comparing the number of trips on closed road segments during road closures with time periods before and after. …”
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Hybrid subQUBO Annealing With a Correction Process for Multi-Day Intermodal Trip Planning
Published 2025-01-01“…The multi-day intermodal trip planning problem (MITPP) is an optimization problem that seeks to create the optimal route to visit Point-of-Interest (POI) and hotels over days. …”
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Trip mode inference from mobile phone signaling data using Logarithm Gaussian Mixture Model
Published 2020-11-01“…While these methods can achieve relatively high accuracy, they also have drawbacks in data quantity, coverage, and computational complexity. This paper develops a trip mode inference method based on mobile phone signaling data. …”
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Bike sharing systems: The impact of precise trip demand forecasting on operational efficiency in different city structures
Published 2025-03-01“…We employ clustering in the optimization module to manage larger case studies, dividing the problem into smaller sub-problems. Our computational experiments compare two main scenarios, perfect demand forecast and unknown future demand, as well as several intermediate scenarios where partial future trip demand information is available. …”
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Want a worry-free trip? Seeking the optimal travel paradigm in view of public-to-individual risk perception
Published 2025-06-01Get full text
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