End-to-End Deep Learning Methodology for Real-Time Traffic Network Management

2018 ◽  
Vol 33 (10) ◽  
pp. 849-863 ◽  
Author(s):  
Hossein Hashemi ◽  
Khaled Abdelghany
Keyword(s):  
Deep Learning ◽  
Network Management ◽  
Real Time ◽  
Traffic Network ◽  
Real Time Traffic ◽  
End To End

Integrated Method for Online Calibration of Real-Time Traffic Network Management Systems

2015 ◽  
Vol 2528 (1) ◽  
pp. 106-115 ◽  
Author(s):  
Hossein Hashemi ◽  
Khaled Abdelghany
Keyword(s):  
Network Management ◽  
Real Time ◽  
Simulation Models ◽  
Calibration Method ◽  
Propagation Model ◽  
Traffic Network ◽  
Operational Conditions ◽  
Online Calibration ◽  
Integrated Method ◽  
Real Time Traffic

This paper presents an integrated method for online calibration of realtime traffic network simulation models. The method integrates a time-dependent demand adjustment module and a link-based traffic flow propagation model calibration module. These modules use available realtime traffic observations to minimize inconsistency between the model estimation results and real-world observations. The modules are integrated into a real-time traffic network management system that was developed for the US-75 corridor in Dallas, Texas. Results illustrate that the online calibration method is effective in enhancing the model's consistency in the different operational conditions.

Toward an Autonomic Architecture for Real-Time Traffic Network Management

2012 ◽  
Vol 16 (2) ◽  
pp. 45-59 ◽  
Author(s):  
Hamideh Etemadnia ◽  
Khaled Abdelghany ◽  
Salim Hariri
Keyword(s):  
Network Management ◽  
Real Time ◽  
Traffic Network ◽  
Real Time Traffic

Vietnamese vehicles speed detection with video-based and deep learning for real-time traffic flow analysis system

2021 ◽  
Author(s):  
Phuoc Ha Quang ◽  
Phong Pham Thanh ◽  
Tuan Nguyen Van Anh ◽  
Son Vo Phi ◽  
Binh Le Nhat ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Traffic Flow ◽  
Flow Analysis ◽  
Real Time Traffic ◽  
Analysis System ◽  
Traffic Flow Analysis
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