A novel dynamically adjusted regressor chain for taxi demand prediction (original) (raw)

Taxi Demand Prediction using Machine Learning

IRJET Journal

IRJET, 2023

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Taxi Demand Prediction using ML

IJRASET Publication

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

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On Predicting the Taxi-Passenger Demand: A Real-Time Approach

João Moreira

Lecture Notes in Computer Science, 2013

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Analysis of big data from New York taxi trip 2023: revenue prediction using ordinary least squares solution and limitedmemory Broyden-Fletcher-Goldfarb-Shanno algorithms

International Journal of Electrical and Computer Engineering (IJECE)

International Journal of Electrical and Computer Engineering (IJECE), 2025

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Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor Regression

Margaret Hamilton

IEEE Access, 2018

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A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for-hire vehicle (FHV) service

shivam sharda

Transportation Research Part C: Emerging Technologies, 2020

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Taxi Demand Forecasting Utilizing Neighbourhood Influence Based on Ensemble Learning

IJRASET Publication

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

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A predictive model for the passenger demand on a taxi network

Michel Ferreira

2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012

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A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction

Tai Le Quy

Multiple-Aspect Analysis of Semantic Trajectories, 2020

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Predictive Analysis of Taxi Fare using Machine Learning

International Journal of Scientific Research in Computer Science, Engineering and Information Technology IJSRCSEIT

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020

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Modeling Dynamic Spatio-Temporal Correlations for Urban Traffic Flows Prediction

Muhammad Haleem

IEEE Access, 2021

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QUADRIVEN: A Framework for Qualitative Taxi Demand Prediction Based on Time-Variant Online Social Network Data Analysis

Andres Muñoz

Sensors, 2019

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Online Predictive Model for Taxi Services

Michel Ferreira

Lecture Notes in Computer Science, 2012

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BRIGHT—Drift-Aware Demand Predictions for Taxi Networks

Joao Gama

IEEE Transactions on Knowledge and Data Engineering, 2018

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TRIP DURATION PREDICTION: NEW YORK TAXI RIDES USING XGBoost (NYC Taxi Trip Duration Dataset

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iTaxi: Context-Aware Taxi Demand Hotspots Prediction

Han-Wen Chang

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Investigating the Accuracy of Forecasting Travel Duration for Uber Trips and Analyzing the Influence of Weather on Traffic Flow

International Journal of Scientific Research in Computer Science, Engineering and Information Technology IJSRCSEIT

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023

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Using spatio‐temporal deep learning for forecasting demand and supply‐demand gap in ride‐hailing system with anonymised spatial adjacency information

Shakil Rifaat

Iet Intelligent Transport Systems, 2021

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Benchmarking Travel Time and Demand Prediction Methods Using Large-scale Metro Smart Card Data

Iyad Zimmo

Periodica Polytechnica Transportation Engineering

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A gradient boosting method to improve travel time prediction

老 兜

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Taxi-Passenger-Demand Modeling Based on Big Data from a Roving Sensor Network

SIRAJUM MUNIR

IEEE Transactions on Big Data, 2017

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Comparing state-of-the-art regression methods for long term travel time prediction

Carlos Soares

Intelligent Data Analysis, 2012

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Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction

João Moreira

Lecture Notes in Computer Science

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Predicting the Upcoming Services of Vacant Taxis near Fixed Locations Using Taxi Trajectories

Jean-Claude Thill

ISPRS International Journal of Geo-Information, 2019

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Predicting Taxi Travel Time Using Machine Learning Techniques Considering Weekend and Holidays

Dillip Rout

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Short-Term Prediction of Demand for Ride-Hailing Services: A Deep Learning Approach

Piyushimita (Vonu) Thakuriah

2021

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A Hybrid Univariate Traffic Congestion Prediction Model for IoT-Enabled Smart City

Nasib Singh Gill

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Travel Time Prediction in Real time for GPS Taxi Data Streams and its Applications to Travel Safety

Prof. Arnab K. Laha

Human-centric intelligent systems, 2023

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Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework

DI LUN CHAI

IEEE Transactions on Knowledge and Data Engineering, 2021

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Spatio-temporal Probabilistic Short-term Forecasting on Urban Networks

Alessandro Attanasi

2018

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Estimating Taxi Demand-Supply Level Using Taxi Trajectory Data Stream

Shili Xiang

2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015

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A Comparison of ARIMAX, VAR and LSTM on Multivariate Short-Term Traffic Volume Forecasting

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2021

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