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A Support Vector Machine Approach for Effective Bicycle Sharing in Urban Zones · Study

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ChapterA Support Vector Machine Approach for Effective Bicycle Sharing in Urban Zones

Saurabh Suman2021

Chapter2021

A Support Vector Machine Approach for Effective Bicycle Sharing in Urban Zones

Saurabh Suman · Sushruta Mishra · Hrudaya Kumar Tripathy

37 citations·0/0 files stored·Advances in intelligent systems and computing

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Urban Transport and Accessibility Transportation and Mobility Innovations Traffic Prediction and Management Techniques

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References

2015Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto 2015Traffic prediction in a bike-sharing system 2017A forecast for bicycle rental demand based on random forests and multiple linear regression 2018A Hierarchical Demand Prediction Method with Station Clustering for Bike Sharing System

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2024MHA: Mobile Application-Based Analysis of Mental Disorders

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2020Dynamic bike sharing traffic prediction using spatiotemporal pattern detectionarticle · 3 shared references 2024Features that influence bike sharing demandarticle · 3 shared references 2024Are We Back to Normal? A Bike Sharing Systems Mobility Analysis in the Post-COVID-19 Eraarticle · 3 shared references 2023Scalability evaluation of forecasting methods applied to bicycle sharing systemsarticle · 3 shared references 2021Analysis and Prediction of Bikesharing Traffic Flow – Citi Bike, New Yorkother · 3 shared references 2018Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systemsother · 2 shared references

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Year2021

Typechapter

Published2021-01-01

VenueAdvances in intelligent systems and computing

ISSN-L2194-5357

Languageen

Citations37

Files0 public / 0

ShelfUrban Transport and Accessibility

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doi10.1007/978-981-16-1056-1_7

openalex_workW3190653113

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