scholarly journals A Day-to-Day Stochastic Traffic Flow Assignment Model Based on Mixed Regulation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 12815-12823 ◽  
Author(s):  
Lixuan Wu ◽  
Zhongxiang Huang ◽  
Jianhui Wu ◽  
Zhibo Gao ◽  
Dingming Qin
Keyword(s):  
Traffic Flow ◽  
Model Based ◽  
Assignment Model ◽  
Flow Assignment

Traffic Flow Assignment Model with Modified Impedance Function

2018 ◽  
Vol 22 (10) ◽  
pp. 4116-4126 ◽  
Author(s):  
Yuan-Yang Zou ◽  
Xue-Guo Xu ◽  
Yu Hu ◽  
Gui-Hua Lin
Keyword(s):  
Traffic Flow ◽  
Impedance Function ◽  
Assignment Model ◽  
Flow Assignment

scholarly journals Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7341
Author(s):  
Xueying Song ◽  
Zheng Yang ◽  
Tao Wang ◽  
Chaoyang Li ◽  
Yi Zhang ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Road Network ◽  
Traffic Assignment ◽  
Trajectory Data ◽  
Dynamic Traffic ◽  
Urban Road ◽  
Assignment Model ◽  
Flow Assignment ◽  
Gps Trajectory Data ◽  
Gps Trajectory

Dynamic traffic flow, which can facilitate the efficient operation of traffic road networks, is an important prerequisite for the application of reasonable assignment of traffic demands in an urban road network. In order to improve the accuracy of dynamic traffic flow assignment, this paper proposes a dynamic traffic flow assignment model based on GPS trajectory data and the influence of POI. First, this paper explores the impact patterns of POI on regional road network congestion during peak hours through qualitative and quantitative analysis. Then, based on the user equilibrium theory, a dynamic traffic flow assignment model, in which the effect of POI on links is reflected using the link-node impedance function, is proposed. Finally, the accuracy of the model is validated by the GPS trajectory data and origin–destination (OD) traffic data of motor vehicles in Xuhui District, Shanghai, China. The results show that the model can be used to coordinate and optimize the traffic assignment of the regional road network under the influence of POI during peak hours and alleviate the congestion of the road network. The findings can provide a powerful reference for developing scientific and rational traffic assignment decisions and management strategies for urban road network traffic.

Research and Improvement of the Keep-Right-Except-to-Pass Rule

2014 ◽  
Vol 915-916 ◽  
pp. 459-463
Author(s):  
He Quan Zhang
Keyword(s):  
Fluid Mechanics ◽  
Traffic Flow ◽  
Influence Factors ◽  
Traffic Model ◽  
Light Traffic ◽  
The Road ◽  
Model Based ◽  
Light Passing ◽  
Improved Model ◽  
The Impact

In order to deal with the impact on traffic flow of the rule, we compare the influence factors of traffic flow (passing, etc.) into viscous resistance of fluid mechanics, and establish a traffic model based on fluid mechanics. First, in heavy and light traffic, we respectively use this model to simulate the actual segment of the road and find that when the traffic is heavy, the rule hinder the further increase in traffic. For this reason, we make further improvements to the model to obtain a fluid traffic model based on no passing and find that the improved model makes traffic flow increase significantly. Then, the improved model is applied to the light traffic, we find there are no significant changes in traffic flow .In this regard we propose a new rule: when the traffic is light, passing is allowed, but when the traffic is heavy, passing is not allowed.

A probabilistic Passenger-to-Train Assignment Model based on automated data

2017 ◽  
Vol 104 ◽  
pp. 522-542 ◽  
Author(s):  
Yiwen Zhu ◽  
Haris N. Koutsopoulos ◽  
Nigel H.M. Wilson
Keyword(s):  
Model Based ◽  
Assignment Model

Research of the Temporary Parking Acceleration-Spacing Model Based on Swarm Theory

2013 ◽  
Vol 361-363 ◽  
pp. 2113-2116
Author(s):  
Jin Xin Cao ◽  
Lei Wang ◽  
Wei Li Zhang ◽  
Jun Wu
Keyword(s):  
Traffic Flow ◽  
Potential Field ◽  
Traffic Congestion ◽  
Field Method ◽  
Lagrange Method ◽  
Traffic Jams ◽  
Model Based ◽  
Potential Field Method ◽  
Swarm Theory

The disturbance factors in the traffic flow may lead to traffic congestion. The agglomeration characteristics shown in traffic jams are similar to the biological swarm characteristics. In this paper, acceleration-spacing model is established based on the potential field method and the Lagrange method. The vehicle in front is viewed as the main force source. Then the data of the traffic congestion caused by the temporary parking in front of the school are used to calibrate the parameters of the model. It can be verified that the model is effective.

CAPACITY ASSIGNMENT MODEL TO DEFENSE CASCADING FAILURES

2009 ◽  
Vol 20 (07) ◽  
pp. 991-999 ◽  
Author(s):  
J. J. WU ◽  
H. J. SUN ◽  
Z. Y. GAO
Keyword(s):  
Traffic Flow ◽  
Cascading Failures ◽  
Traffic Networks ◽  
Practical Application ◽  
Assignment Rule ◽  
Scale Free ◽  
Capacity Assignment ◽  
Assignment Model ◽  
Equilibrium Assignment ◽  
Theoretical Significance

How to alleviate the damages of cascading failures triggered by the overload of edges/nodes is common in complex networks. To describe the whole cascading failures process from edges overloading to nodes malfunctioning and the dynamic spanning clustering with the evolvement of traffic flow, we propose a capacity assignment model by introducing an equilibrium assignment rule of flow in artificially created scale-free traffic networks. Additionally, the capacity update rule of node is given in this paper. We show that a single failed edge may undergo the cascading failures of nodes, and a small failure has the potential to trigger a global cascade. It is suggested that enhancing the capacity of node is particularly important for the design of any complex network to defense the cascading failures. Meanwhile, it has very important theoretical significance and practical application worthiness in the development of effective methods to alleviate the damage of one or some failed edges/nodes.

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