Traffic flow modeling in fog with cellular automata model

2021 ◽  
Vol 35 (11) ◽  
pp. 2150180
Author(s):  
Xin-Hong Qiang ◽  
Lei Huang
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Flow Characteristics ◽  
System Capacity ◽  
Open Boundary ◽  
Flow Modeling ◽  
Test Scenario ◽  
Cellular Automata Model ◽  
Visual Distance ◽  
Bottleneck Capacity

To explore the traffic flow characteristics in fog, a modified one-dimensional cellular automata model is developed considering the limited visual distance of drivers in low visibility. We suppose that drivers can be categorized into seven groups according to the radical degree, and the number of drivers follows the Gaussian distribution in general road system. Capacity shrinkage is confirmed, and there is a positive correlation between the speed limits and extent of capacity shrinkage. When on-ramp bottleneck is considered in open boundary condition, bottleneck capacity fluctuates greatly when enter probability of on-ramp is lower than the threshold, and the dependency between main lane capacity and distance away from on-ramp is weak in most cases. Besides, capacity phase diagrams of various test scenario show that the bottleneck capacity will not improve after the entry probability of the main lane reaches a certain value. This study can be an inspiration for traffic flow modeling in fog and other infrequent weather.

Mutil-Conditions Impress Nonsingular Dimensional Cellular Automaton on Traffic Flow

2014 ◽  
Vol 926-930 ◽  
pp. 3455-3458
Author(s):  
Li Na Liu ◽  
Jie Wang ◽  
Chang Sheng Zhu ◽  
Ting Jing
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Flow Characteristics ◽  
Open Boundary ◽  
Open Boundary Conditions ◽  
Lane Changing ◽  
Cellular Automata Model ◽  
Traffic Lights ◽  
Traffic Flow Characteristics ◽  
The Relationship

This paper is based on Nagel-Schreckenberg cellular automata model as the foundation, in the open boundary conditions, the traffic vehicle redirecting probability and before lane changing rules get to intersection will produce certain effect to interference with intersection , and so as to builds up the nonsingular cellular automata model. Through the research to redirecting probability, lane changing rules and the settings of traffic lights play a part in traffic flow characteristics, and points out the influence of phase change point position ,and at the same time, traffic lights timing differences can reduce vehicle interference to increase traffic flow, at the same time, play a analysis the critical redirecting probability of traffic flow in controlling significance, and points out the relationship between the critical point of Lane changing probability and traffic flow influence ,and lane-changing rules is correspond to the basic line of vehicles running.

Cellular automata model simulating traffic car accidents in the on-ramp system

2015 ◽  
Vol 26 (09) ◽  
pp. 1550100 ◽  
Author(s):  
H. Echab ◽  
N. Lakouari ◽  
H. Ez-Zahraouy ◽  
A. Benyoussef
Keyword(s):  
Phase Diagram ◽  
Boundary Condition ◽  
Cellular Automata ◽  
Open Boundary ◽  
Open Boundary Condition ◽  
Cellular Automata Model ◽  
Main Road ◽  
Left Boundary ◽  
Car Accidents

In this paper, using Nagel–Schreckenberg model we study the on-ramp system under the expanded open boundary condition. The phase diagram of the two-lane on-ramp system is computed. It is found that the expanded left boundary insertion strategy enhances the flow in the on-ramp lane. Furthermore, we have studied the probability of the occurrence of car accidents. We distinguish two types of car accidents: the accident at the on-ramp site (Prc) and the rear-end accident in the main road (Pac). It is shown that car accidents at the on-ramp site are more likely to occur when traffic is free on road A. However, the rear-end accidents begin to occur above a critical injecting rate αc1. The influence of the on-ramp length (LB) and position (xC0) on the car accidents probabilities is studied. We found that large LB or xC0 causes an important decrease of the probability Prc. However, only large xC0 provokes an increase of the probability Pac. The effect of the stochastic randomization is also computed.

Study on the Traffic Capacity of Expressway Based on Cellular Automata Model

2014 ◽  
Vol 701-702 ◽  
pp. 172-179
Author(s):  
Xiao Dong Xia ◽  
Lin Ling Xu
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Heavy Traffic ◽  
Accident Rate ◽  
Cellular Automata Model ◽  
Traffic Capacity ◽  
Low Load ◽  
The Right ◽  
The Relationship ◽  
Shape Changes

Based on the Nagel-Schrekenberg cellular automaton model of traffic flow, this article analyzed the influence that driving on the right side takes to the traffic flow in the condition of light and heavy traffic. With the combination of fluid dynamics and vehicle dynamics, we established the Cellular Automata model for mixed speed two-lane traffic flow on the rule driving on the right side. Then we used the AHP method to find out the large bus share rate, the number of vehicles changing lanes and the influence law of safety factors on traffic flow. We came to a conclusion that the relationship between traffic flow and load are inverted U shape changes in the low load and high load conditions, the accident rate is the maximum when the V/C (the ratio of traffic flow and the ability of corresponding section) is the minimum; with the increase of V/C, the accident rate decreased gradually.

scholarly journals Modeling Air Traffic Situation Complexity with a Dynamic Weighted Network Approach

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Hongyong Wang ◽  
Ziqi Song ◽  
Ruiying Wen
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Flow Characteristics ◽  
Air Traffic Management ◽  
Air Traffic ◽  
System Capacity ◽  
Traffic Situation ◽  
Flight Delays ◽  
Weighted Network ◽  
Potential Applications

In order to address the flight delays and risks associated with the forecasted increase in air traffic, there is a need to increase the capacity of air traffic management systems. This should be based on objective measurements of traffic situation complexity. In current air traffic complexity research, no simple means is available to integrate airspace and traffic flow characteristics. In this paper, we propose a new approach for the measurement of air traffic situation complexity. This approach considers the effects of both airspace and traffic flow and objectively quantifies air traffic situation complexity. Considering the aircraft, waypoints, and airways as nodes, and the complexity relationships among these nodes as edges, a dynamic weighted network is constructed. Air traffic situation complexity is defined as the sum of the weights of all edges in the network, and the relationships of complexity with some commonly used indices are statistically analyzed. The results indicate that the new complexity index is more accurate than traffic count and reflects the number of trajectory changes as well as the high-risk situations. Additionally, analysis of potential applications reveals that this new index contributes to achieving complexity-based management, which represents an efficient method for increasing airspace system capacity.

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