Extreme Learning Machine-Based Traffic Incidents Detection with Domain Adaptation Transfer Learning

Extreme Learning Machine-Based Traffic Incidents Detection with Domain Adaptation Transfer Learning

Traffic incidents in big cities are increasing alongside economic growth, causing traffic delays and deteriorating road safety conditions. Thus, developing a universal freeway automatic incident detection (AID) algorithm is a task that took the interest of researchers. This paper presents a novel au...

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Bibliographic Details
Main Authors: Elhatri Chaimae, Tahifa Mohammed, Boumhidi Jaouad
Format: Article
Language:English
Published: De Gruyter 2017-09-01
Series:Journal of Intelligent Systems
Subjects:
extreme learning machine (elm)
transfer learning
target domain adaptation transfer elm (telm-tda)
automatic incident detection (aid)
simulator of urban mobility (sumo)
traffic control interface (traci)
Online Access:https://doi.org/10.1515/jisys-2016-0028

Internet

https://doi.org/10.1515/jisys-2016-0028

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