scholarly journals Two-Lane Traffic Flow Simulation Model via Cellular Automaton

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Kamini Rawat ◽  
Vinod Kumar Katiyar ◽  
Pratibha Gupta
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Road Traffic ◽  
Flow Simulation ◽  
Transition Rule ◽  
Fundamental Diagram ◽  
Lane Changing ◽  
Acceleration Rate ◽  
Traffic Flow Simulation ◽  
The Individual

Road traffic microsimulations based on the individual motion of all the involved vehicles are now recognized as an important tool to describe, understand, and manage road traffic. Cellular automata (CA) are very efficient way to implement vehicle motion. CA is a methodology that uses a discrete space to represent the state of each element of a domain, and this state can be changed according to a transition rule. The well-known cellular automaton Nasch model with modified cell size and variable acceleration rate is extended to two-lane cellular automaton model for traffic flow. A set of state rules is applied to provide lane-changing maneuvers. S-t-s rule given in the BJH model which describes the behavior of jammed vehicle is implemented in the present model and effect of variability in traffic flow on lane-changing behavior is studied. Flow rate between the single-lane road and two-lane road where vehicles change the lane in order to avoid the collision is also compared under the influence of s-t-s rule and braking rule. Using results of numerical simulations, we analyzed the fundamental diagram of traffic flow and show that s-t-s probability has more effect than braking probability on lane-changing maneuver.

scholarly journals Effectiveness of Information from Vehicles beyond Nearest Vehicle Ahead for Traffic Flow

2011 ◽  
Vol 2011 ◽  
pp. 1-7
Author(s):  
Hikaru Shimizu ◽  
Sho Nishiyama ◽  
Yukiko Wakita ◽  
Eisuke Kita
Keyword(s):  
Stability Analysis ◽  
Traffic Flow ◽  
Flow Simulation ◽  
The Other ◽  
Stable Region ◽  
Model Parameters ◽  
Model Stability ◽  
Acceleration Rate ◽  
Traffic Flow Simulation ◽  
Vehicle Acceleration

A driver usually controls the vehicle according to only the information from the nearest leader vehicle. If the information from the other leader vehicles is also available, the driver can control the vehicle more adequately. The aim of this study is to discuss the effectiveness of the information from the other leader vehicles than the nearest one for the traffic flow. For this purpose, the traffic flow is modeled by using the Chandler-type multi-vehicle-following model. This model changes the vehicle acceleration rate according to the velocity differences between the vehicle and its multileader vehicles. After the model stability analysis, the traffic flow simulation is performed. The results reveal that the stable region of the model parameters expands according to the increase of the number of the leader vehicles.

scholarly journals An Extended Cellular Automaton Model for Train Traffic Flow on the Dedicated Passenger Lines

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Wenbo Zhao ◽  
Yongsheng Qian ◽  
Anling Zhang ◽  
Junwei Zeng ◽  
Min Wang ◽  
...  
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Flow Simulation ◽  
Nonlinear Problems ◽  
Cellular Automaton Model ◽  
Railway Transportation ◽  
Intrinsic Factors ◽  
Traffic Flow Simulation ◽  
Mixed Features ◽  
Train Operation

As one of the key components for the railway transportation system, the Train Operation Diagram can be greatly influenced by many extrinsic and intrinsic factors. Therefore, the railway train flow has shown the strong nonlinear characteristics, which makes it quite difficult to take further relative studies. Fortunately, the cellular automaton model has its own advantages in solving nonlinear problems and traffic flow simulation. Considering the mixed features of multispeed running trains on the passenger dedicated lines, this paper presents a new train model under the moving block system with different types of trains running with the cellular automaton idea. By analyzing such key factors as the maintenance skylight, the proportion of the multispeed running trains, and the distance between adjacent stations and departure intervals, the corresponding running rules for the cellular automaton model are reestablished herewith. By means of this CA model, the program of train running system is designed to analyze the potential impact on railway carrying capacity by various factors; the model can also be implemented to simulate the actual train running process and to draw the train operation diagram by computers. Basically the theory can be applied to organize the train operation on the dedicated passenger lines.

Experiences with a Simplified Microsimulation for the Dallas/Fort-Worth Area

1997 ◽  
Vol 08 (03) ◽  
pp. 483-503 ◽  
Author(s):  
M. Rickert ◽  
K. Nagel
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Flow Simulation ◽  
Granular Structure ◽  
Fort Worth ◽  
Simulation Fidelity ◽  
Traffic Flow Simulation ◽  
Intersection Model ◽  
Cellular Automaton Method ◽  
Different Levels

We describe a simple framework for microsimulation of city traffic. A medium-sized excerpt of Dallas was used to examine different levels of simulation fidelity of a cellular automaton method for the traffic flow simulation and a simple intersection model. We point out problems arising with the granular structure of the underlying rules of motion.

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