scholarly journals CELLULAR AUTOMATA SIMULATION OF TRAFFIC LIGHT STRATEGIES IN OPTIMIZING THE TRAFFIC FLOW

2005 ◽  
Vol 4 (2) ◽  
pp. 13
Author(s):  
E. H. NUGRAHANI ◽  
R. RAMDHANI
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Control Strategies ◽  
Velocity Model ◽  
Flow Density ◽  
Traffic Light ◽  
Cellular Automata Model ◽  
Optimal Velocity ◽  
Traffic Lights ◽  
Traffic System

The behavior of traffic system controlled by traffic lights is presented under assumptions of city traffic on a single lane based on the optimal velocity model.  The effect of differrent traffic light control strategies on the traffic flow is discussed using three different strategies, i.e. the synchronized, green wave, and random offset strategies. The flow-density diagrams are analyzed using these strategies.   The numerical investigation is carried out using cellular automata model to get a better understanding of the microscopic behavior of the system under the three different traffic light strategies.

scholarly journals Simulation of Traffic Optimization to Reduce Congestion

2019 ◽  
Vol 8 (11) ◽  
pp. 3780-3783
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Flow Density ◽  
Traffic Light ◽  
Traffic Lights ◽  
Traffic System ◽  
Light System ◽  
Intelligent Traffic System ◽  
Traffic Optimization ◽  
Indian Cities

There has been an alarming increase in the number of vehicles on the Indian roads in the recent times, almost triple as that in 2005[10]. which obviously leads to traffic congestion on road and enhanced pollution, although there has been many reasons for the same but major one is unmanaged traffic light system as the current traffic light system is either manual or static timings of traffic lights regardless of the flow of traffic. There is a need for smart solution to the traffic light in Indian cities or to have ITS (Intelligent traffic system). Paper provides a solution based on camera feed at crossings for each lane, process the data through and allocates the “Green” time according to its traffic flow density using YOLO v3 and also takes care of starvation issue that might arise of the solution. As a result the flow of traffic on each lane is automatically optimized and the congestion that used to happen unnecessarily earlier is eliminated and results shows significant benefits in reducing traffic waiting time.

Influence of pedestrians’ jaywalking behavior on vehicle flow

2018 ◽  
Vol 32 (22) ◽  
pp. 1850233
Author(s):  
Gang Liu ◽  
Jiayan Lu ◽  
Jingchao Wang ◽  
Xiaodong Jing ◽  
Jing He ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Experimental Results ◽  
Dynamic Traffic ◽  
Cellular Automata Model ◽  
Urban Streets ◽  
Traffic Lights

There always exist a conflict between vehicles and pedestrians on urban streets. To study the complicated behaviors of vehicles and pedestrians is significant to understand the dynamics of traffic flow and explore efficient strategies for solving traffic problems. Based on this, this paper studies the effect of pedestrian’s jaywalking behavior on vehicle flow with no crosswalks and no traffic lights, and constructs a cellular automata model to describe the dynamic traffic flow by considering some significant traffic behaviors of pedestrians and vehicles. Experimental results show that the maximum vehicle flow will be greatly affected as long as there are jaywalking pedestrians; retreating behavior may lead to the fluctuation in vehicle flow; the maximum vehicle flow is greater if more pedestrians choose the behavior of fast crossing. This research is helpful to further study the interaction between pedestrians and vehicles.

CELLULAR AUTOMATA MODEL FOR UNSIGNALIZED T-SHAPED INTERSECTION

2009 ◽  
Vol 20 (04) ◽  
pp. 501-512 ◽  
Author(s):  
XIN-GANG LI ◽  
ZI-YOU GAO ◽  
BIN JIA ◽  
XIAO-MEI ZHAO
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Cellular Automata Model ◽  
Traffic Lights ◽  
Traffic Conditions ◽  
Main Street ◽  
Simulation Results

In this paper, the unsignalized T-shaped intersection is modeled by a cellular automata model. The main street and the minor street join at the intersection. As to the traffic flow is not controlled by traffic lights, conflict happens between the vehicles from minor street and that from main street. Two different crash avoiding rules are used to dispose the conflicts. In the first rule, the priorities are given to the driving-ahead vehicle and the vehicle on the main street. In the second rule, the vehicle that reaches the conflicting point earlier enters into the intersection. The flux on each lane depending on the inflow rates is studied in detail. The capacity of the system is also investigated. Our simulation results suggest that the two rules do not take the same effect on the capacity under different traffic conditions.

THE EFFECT OF MIXED VEHICLES ON TRAFFIC FLOW IN TWO LANE CELLULAR AUTOMATA MODEL

2005 ◽  
Vol 16 (10) ◽  
pp. 1617-1627 ◽  
Author(s):  
BIN JIA ◽  
RUI JIANG ◽  
ZI-YOU GAO ◽  
XIAO-MEI ZHAO
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Flow Model ◽  
Mixed Traffic ◽  
Cellular Automata Model ◽  
Traffic System ◽  
The Road ◽  
Different Types ◽  
The Difference ◽  
Real Traffic

In real traffic, the traffic system is usually composed of different types of vehicles, which have different parameters. How these parameters, especially the lengths of the vehicles, influence the traffic behaviors and transportation capability has seldom been investigated. In this paper, we study the mixed traffic system using the cellular automata traffic flow model. The simulation results show that when the road occupancy rate is large, increasing the fraction of long vehicles can apparently, improve the transportation capability. The influence of slow vehicles fraction on the average velocity of vehicles has been discussed, and it is found that the influences are very different when the difference of vehicle length is considered or not.

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.

scholarly journals A New Car-Following Model with Consideration of Dynamic Safety Distance

2018 ◽  
Vol 2018 ◽  
pp. 1-5
Author(s):  
Tao Wang ◽  
Jing Zhang ◽  
Guangyao Li ◽  
Keyu Xu ◽  
Shubin Li
Keyword(s):  
Traffic Flow ◽  
Velocity Model ◽  
Safe Distance ◽  
Optimal Velocity ◽  
New Model ◽  
Car Following ◽  
Optimal Velocity Model ◽  
Safety Distance ◽  
Car Following Model ◽  
The Impact

In the traditional optimal velocity model, safe distance is usually a constant, which, however, is not representative of actual traffic conditions. This paper attempts to study the impact of dynamic safety distance on vehicular stream through a car-following model. Firstly, a new car-following model is proposed, in which the traditional safety distance is replaced by a dynamic term. Then, the phase diagram in the headway, speed, and sensitivity spaces is given to illustrate the impact of a variable safe distance on traffic flow. Finally, numerical methods are conducted to examine the performance of the proposed model with regard to two aspects: compared with the optimal velocity model, the new model can suppress traffic congestion effectively and, for different safety distances, the dynamic safety distance can improve the stability of vehicular stream. Simulation results suggest that the new model is able to enhance traffic flow stability.

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