Matches in SemOpenAlex for { <https://semopenalex.org/work/W3170451166> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W3170451166 abstract "This paper explores the applications of machine learning for predicting the travel time in the ride-sourcing networks using the Uber movement dataset. Using the Python programming environment, a case study is presented to analyze the travel time of the ride-sourcing services from the central Washington D.C. to the given specific destinations by considering the distance, railway/subway and street density in different destination zones (areas) and also weather conditions. To this end, in the first step, a descriptive analytics is completed to include potential features (attributes) affecting the travel times of Uber (ride-sourcing) services. Then, machine learning techniques such as random forest and robust regressions are applied to identify key attributes (features) for the prediction of the average travel times. The findings and accuracy of the robust regression models are compared with the random forest to select the best model in predicting the mean travel time. This case study provides opportunities in data preparation, descriptive and predictive analytic topics covered in applied machine learning, data science and decision support system courses using data mining programming environments like Python and R. Students are also able to change the study area (city) for this case study based on their interest." @default.
- W3170451166 created "2021-06-22" @default.
- W3170451166 creator A5006675124 @default.
- W3170451166 creator A5030773752 @default.
- W3170451166 creator A5047491419 @default.
- W3170451166 creator A5076865755 @default.
- W3170451166 date "2020-02-09" @default.
- W3170451166 modified "2023-09-24" @default.
- W3170451166 title "Travel Time Prediction in Ride-Sourcing Networks: A Case Study for Machine Learning Applications" @default.
- W3170451166 cites W2066284250 @default.
- W3170451166 cites W2083884332 @default.
- W3170451166 cites W2099970772 @default.
- W3170451166 cites W2125475796 @default.
- W3170451166 cites W2154897810 @default.
- W3170451166 cites W2181523240 @default.
- W3170451166 cites W2751193480 @default.
- W3170451166 cites W2897397393 @default.
- W3170451166 cites W2902303888 @default.
- W3170451166 cites W2945162199 @default.
- W3170451166 cites W3005719907 @default.
- W3170451166 cites W3123269076 @default.
- W3170451166 hasPublicationYear "2020" @default.
- W3170451166 type Work @default.
- W3170451166 sameAs 3170451166 @default.
- W3170451166 citedByCount "0" @default.
- W3170451166 crossrefType "posted-content" @default.
- W3170451166 hasAuthorship W3170451166A5006675124 @default.
- W3170451166 hasAuthorship W3170451166A5030773752 @default.
- W3170451166 hasAuthorship W3170451166A5047491419 @default.
- W3170451166 hasAuthorship W3170451166A5076865755 @default.
- W3170451166 hasConcept C111919701 @default.
- W3170451166 hasConcept C119857082 @default.
- W3170451166 hasConcept C154945302 @default.
- W3170451166 hasConcept C166957645 @default.
- W3170451166 hasConcept C169258074 @default.
- W3170451166 hasConcept C18918823 @default.
- W3170451166 hasConcept C205649164 @default.
- W3170451166 hasConcept C2522767166 @default.
- W3170451166 hasConcept C2776687071 @default.
- W3170451166 hasConcept C41008148 @default.
- W3170451166 hasConcept C519991488 @default.
- W3170451166 hasConcept C79158427 @default.
- W3170451166 hasConcept C83209312 @default.
- W3170451166 hasConceptScore W3170451166C111919701 @default.
- W3170451166 hasConceptScore W3170451166C119857082 @default.
- W3170451166 hasConceptScore W3170451166C154945302 @default.
- W3170451166 hasConceptScore W3170451166C166957645 @default.
- W3170451166 hasConceptScore W3170451166C169258074 @default.
- W3170451166 hasConceptScore W3170451166C18918823 @default.
- W3170451166 hasConceptScore W3170451166C205649164 @default.
- W3170451166 hasConceptScore W3170451166C2522767166 @default.
- W3170451166 hasConceptScore W3170451166C2776687071 @default.
- W3170451166 hasConceptScore W3170451166C41008148 @default.
- W3170451166 hasConceptScore W3170451166C519991488 @default.
- W3170451166 hasConceptScore W3170451166C79158427 @default.
- W3170451166 hasConceptScore W3170451166C83209312 @default.
- W3170451166 hasLocation W31704511661 @default.
- W3170451166 hasOpenAccess W3170451166 @default.
- W3170451166 hasPrimaryLocation W31704511661 @default.
- W3170451166 hasRelatedWork W2002313219 @default.
- W3170451166 hasRelatedWork W2044847779 @default.
- W3170451166 hasRelatedWork W2850576248 @default.
- W3170451166 hasRelatedWork W2953543138 @default.
- W3170451166 hasRelatedWork W2999798734 @default.
- W3170451166 hasRelatedWork W3013787724 @default.
- W3170451166 hasRelatedWork W3022745526 @default.
- W3170451166 hasRelatedWork W303100663 @default.
- W3170451166 hasRelatedWork W3094266128 @default.
- W3170451166 hasRelatedWork W3133591959 @default.
- W3170451166 hasRelatedWork W3158602595 @default.
- W3170451166 hasRelatedWork W3170829085 @default.
- W3170451166 hasRelatedWork W3173243538 @default.
- W3170451166 hasRelatedWork W3186561893 @default.
- W3170451166 hasRelatedWork W3197840268 @default.
- W3170451166 hasRelatedWork W3212078663 @default.
- W3170451166 hasRelatedWork W599416654 @default.
- W3170451166 hasRelatedWork W3076836736 @default.
- W3170451166 hasRelatedWork W3111465942 @default.
- W3170451166 hasRelatedWork W3181529401 @default.
- W3170451166 isParatext "false" @default.
- W3170451166 isRetracted "false" @default.
- W3170451166 magId "3170451166" @default.
- W3170451166 workType "article" @default.