Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Machine Learning For Transportation Research And ApplicationsISBN13:9780323961264ISBN10:0323961266Author:Wang, Yinhai (Author), Cui, Zhiyong (Author), Ke, Ruimin (Author)Description:Transportation Issues Are Often Too Complicated To Be Addressed By Conventional Parametric Methods Increasing Data Availability And Recent Advancements In Machine Learning Provide New Methods To Tackle The Challenging Transportation Problems Readers Will Learn How To Develop And Apply Different Types Of Machine Learning Models To Transportation Related Problems Example Applications Include Transportation Data Generations, Traffic Sensing, Transportation Mode Recognition, Transportation System Management And Control, Traffic Flow Prediction, And Traffic Safety Analysis Binding:Paperback, PaperbackPublisher:Elsevier SciencePublication Date:2023-01-01Weight:0 lbsDimensions:Number of Pages:Language:English
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Book Title: Machine Learning For Transportation Research And Application...
Item Weight: 0 lbs
Item Length: 9in
Item Width: 6in
Author: Ruimin Ke, Zhiyong CUI Inc, Yinhai Wang
Publication Name: Machine Learning for Transportation Research and Applications
Format: Trade Paperback
Language: English
Publisher: Elsevier
Publication Year: 2023
Type: Textbook
Number of Pages: 275 Pages
