Online Predictive Model for Taxi Services (original) (raw)

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

João Moreira

Lecture Notes in Computer Science, 2013

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Taxi Demand Prediction using Machine Learning

IRJET Journal

IRJET, 2023

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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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An online learning framework for predicting the taxi stand's profitability

João Moreira

17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014

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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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SOUP: A Fleet Management System for Passenger Demand Prediction and Competitive Taxi Supply

Christian S. Jensen

2021 IEEE 37th International Conference on Data Engineering (ICDE)

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Dmodel: Online Taxicab Demand Model from Big Sensor Data in a Roving Sensor Network

Md.Sirajum Munir

2014 IEEE International Congress on Big Data, 2014

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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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Taxi-Aware Map: Identifying and Predicting Vacant Taxis in the City

Marco Veloso

2010

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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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iTaxi: Context-Aware Taxi Demand Hotspots Prediction

Han-Wen Chang

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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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Towards Developing a Travel Time Forecasting Model for Location-Based Services: A Review

Tschangho John Kim

Advances in Spatial Science, 2005

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Modeling Location Choice of Taxi Drivers for Passenger Pickup Using GPS Data

Marco Veloso

IEEE Intelligent Transportation Systems Magazine, 2021

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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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MINING EFFICIENT TAXI OPERATION STRATEGIES FROM LARGE SCALE GEO LOCATION DATA

IAEME Publication

IAEME PUBLICATION, 2018

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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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A novel dynamically adjusted regressor chain for taxi demand prediction

Zipeng Wu

2020

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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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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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Demand Prediction for Shared Mobility Services using Time Series Modelling

Rudi Camilleri

2020

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

Dillip Rout

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iTaxi: Context-aware taxi demand hotspots prediction using ontology and data mining approaches

Jane Hsu

2008

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Real time location prediction with taxi-GPS data streams

Prof. Arnab K. Laha

Transportation Research Part C-emerging Technologies, 2018

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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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Hunting or waiting? discovering passenger-finding strategies from a large-scale real-world taxi dataset

Bin Li

2011

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Taxi Driver Assistant – A Proposal for a Recommendation System

Marco Veloso

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Taxi dispatch with real-time sensing data in metropolitan areas

Fei Miao

Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems - ICCPS '15, 2015

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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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