Open AccessA supervised learning approach to estimating the urban traffic state based on floating car data
Author(s) -
Marouane Mzibri,
Abdelilah Maach,
Driss Elghanami
Publication year - 2020
Publication title -
international journal of multimedia intelligence and security
Language(s) - English
Resource type - Journals
eISSN - 2042-3470
pISSN - 2042-3462
DOI - 10.1504/ijmis.2020.114795
Subject(s) - global positioning system , intelligent transportation system , mean squared error , computer science , state (computer science) , mean absolute error , data mining , mean absolute percentage error , floating car data , supervised learning , machine learning , artificial intelligence , simulation , real time computing , artificial neural network , transport engineering , engineering , algorithm , statistics , traffic congestion , mathematics , telecommunications
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom