Traffic Flow Velocity Prediction Based on Real Data LSTM Model

2021 ◽  
Author(s):  
Jiaze Wang ◽  
Lin Li
2021 ◽  
Author(s):  
Teodora A. Mecheva ◽  
Nikolay R. Kakanakov

2018 ◽  
Vol 27 (12) ◽  
pp. 124502
Author(s):  
Jun-Wei Zeng ◽  
Yong-Sheng Qian ◽  
Xu-Ting Wei ◽  
Xiao Feng

2017 ◽  
Vol 106 ◽  
pp. 52-75 ◽  
Author(s):  
Maria Kontorinaki ◽  
Anastasia Spiliopoulou ◽  
Claudio Roncoli ◽  
Markos Papageorgiou

2014 ◽  
Vol 505-506 ◽  
pp. 1189-1193
Author(s):  
Yi Cao ◽  
Zhong Yi Zuo ◽  
Hui Zhi Xu

In order to analyze the existing problems of temporary reversible lane, traffic flow velocity characteristic at the period of direction changing was analyzed. Taking Huangpu road as the investigation object, the traffic flow velocity parameters before and after direction changing were investigated respectively. By the method of mathematical statistics, the individual vehicles velocities and the traffic flow velocity before and after direction changing were compared and analyzed. Using the method of regression analysis, the relationship model between velocity and density of reversible lane was constructed. This paper also discussed the problems of this kind of lane. The research showed that, in terms of traffic flow operation velocity of temporary reversible lane, there is obvious and regular difference between before and after direction changing. There is a certain relationship between the velocity and density. The problem of lower lane utilization ratio of temporary reversible lane usually exists.


2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Yessy Yusnita

In the real situation, the vehicle flow velocity on a road are not always in an equilibrium situation. The Kerner Konhäuser model illustrate that the vehicle flow velocity is an application of the Navier Stokes equation. The model is solved numerically by using the finite difference approach to calculate the flow velocity. The result will be used in solve the conservation equations in order to the density of traffic flow. The Simulation is carried on a single-lane road section. The results show that the vehicle flow velocity will increase if the density of the traffic flow decreases and the vehicle flow velocity will decrease if the density of traffic flow increases.


2017 ◽  
Vol 84 ◽  
pp. 235-246 ◽  
Author(s):  
Albert Y. Chong ◽  
Barry J. Doyle ◽  
Shirley Jansen ◽  
Stefan Ponosh ◽  
Julien Cisonni ◽  
...  

2015 ◽  
Vol 29 (12) ◽  
pp. 4379-4395 ◽  
Author(s):  
Vasileios Kitsikoudis ◽  
Epaminondas Sidiropoulos ◽  
Lazaros Iliadis ◽  
Vlassios Hrissanthou

Author(s):  
Guoqing Liu ◽  
Anastasios S. Lyrintzis ◽  
Panos G. Michalopoulos

An improved high-order continuum model is developed based on hyperbolic conservation laws with relaxation, linearized stability analysis, and more realistic considerations of traffic flow. The improved high-order model allows smooth traveling wave solutions as well as contact shocks (different densities moving at the same speed), is able to describe the amplification of small disturbances on heavy traffic, and allows fluctuations of speed around the equilibrium values. Furthermore, unlike existing high-order models, it does not result in negative speeds at the tail of congested regions and disturbance propagation speeds greater than the traffic flow velocity because the improved model has a zero characteristic speed and a nonnegative characteristic speed that is equal to the traffic flow velocity. The relaxation time is a function of density and, in the equilibrium limit, the improved high-order model is consistent with the simple continuum model. The improved high-order model is compared with the simple continuum model. Exemplary test results suggest that the improved high-order model is intuitively correct. Comparison of numerical results with field data suggests that the improved high-order model yields lower error levels than the simple continuum model.


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