Effect Analysis of Bus-exclusive Lane on Traffic Congestion Using Cell Transmission Models

To analyze the spreading regularity of the initial traffic congestion, the improved cell transmission model (CTM) is proposed to describe the evolution mechanism of traffic congestion in regional road grid. Ordinary cells and oriented cells are applied to render the crowd roads and their adjacent roads. Therefore the traffic flow could be simulated by these cells. Resorting to the proposed model, the duration of the initial traffic congestion could be predicted and the subsequent secondary congestion could be located. Accordingly, the spatial diffusion of traffic congestion could be estimated. At last, taking a road network region of Hangzhou city as an example, the simulation experiment is implemented to verify the proposed method by PARAMICS software. The result shows that the method could predict the duration of the initial congestion and estimate its spatial diffusion accurately.

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Freeway Ramp Metering Based on Cell Transmission Model and Single Neuron

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.423-426.2877 ◽

2013 ◽

Vol 423-426 ◽

pp. 2877-2881

Author(s):

Yan Di Ye ◽

Yan Yan Liu ◽

Xin Rong Liang ◽

Chao Jun Dong

Keyword(s):

Traffic Congestion ◽

Single Neuron ◽

Learning Algorithm ◽

Ramp Metering ◽

Transmission Model ◽

Cell Transmission Model ◽

Freeway Traffic ◽

Tracking Process ◽

Cell Transmission ◽

Control Objective

In this work, we apply single neuron method to relieve freeway traffic congestion. We consider a freeway composed of cells and entry/exit ramps, and formulate the ramp metering problem as a density tracking process. The cell transmission model (CTM) is firstly formulated and ramp control objective is determined. Based on CTM and single neuron, a freeway ramp metering system is then designed, and the learning algorithm of single neuron is given in detail. Finally, the ramp metering system is simulated in MATLAB software. The results show that this method can effectively deal with this class of control problem, and can achieve a perfect density tracking performance. This ramp metering can eliminate traffic congestion and maintain traffic flow stability.

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Performance Assessment of Different Cell-Transmission Models for Ramp-Metered Highway Networks

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2021.06.016 ◽

2021 ◽

Vol 54 (2) ◽

pp. 114-120

Author(s):

Fatemeh Alimardani ◽

John S. Baras

Keyword(s):

Performance Assessment ◽

Highway Networks ◽

Cell Transmission ◽

Transmission Models

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Traffic Congestion Net (TCNet): An Accurate Traffic Congestion Level Estimation Method Based on Traffic Surveillance Video Feature Extraction

CICTP 2020 ◽

10.1061/9780784483053.001 ◽

2020 ◽

Author(s):

Jiakang Li ◽

Yuxian Pang ◽

Xiying Li

Keyword(s):

Feature Extraction ◽

Traffic Congestion ◽

Estimation Method ◽

Surveillance Video ◽

Traffic Surveillance ◽

Video Feature

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Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion

CICTP 2020 ◽

10.1061/9780784483053.309 ◽

2020 ◽

Author(s):

Guangliang Zhang ◽

Jian Wang ◽

Xiaowei Hu

Keyword(s):

Correlation Analysis ◽

Traffic Congestion ◽

Urban Traffic ◽

Logistics Regression

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Impact of the urban construction solutions on the safety population

Issues of Risk Analysis ◽

10.32686/1812-5220-2020-17-2-66-73 ◽

2020 ◽

Vol 17 (2) ◽

pp. 66-73

Author(s):

R. D. Oktyabrskiy

Keyword(s):

Traffic Congestion ◽

Urban Population ◽

Road Network ◽

Residential Development ◽

Emergency Situations ◽

Urban Construction ◽

Safety Population ◽

Peace And War ◽

The City

The article is devoted to the justification of the need to reduce the population density in the residential development of cities. The analysis of vulnerability of the urban population from threats of emergency situations of peace and war time, and also an assessment of provision of the city by a road network is given. Proposals have been formulated to reduce the vulnerability of the urban population in the long term and to eliminate traffic congestion and congestion — jams.

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