Research on Traffic Light Adjustment Based on Compatibility Graph of Traffic Flow

2011 ◽  
Author(s):  
Qiang Wang ◽  
Lei Wang ◽  
Guangcun Wei
Keyword(s):  
Traffic Flow ◽  
Traffic Light ◽  
Compatibility Graph

scholarly journals Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation

2021 ◽  
Vol 13 (15) ◽  
pp. 8324
Author(s):  
Viacheslav Morozov ◽  
Sergei Iarkov
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Traffic Congestion ◽  
Traffic Management ◽  
System Analysis ◽  
Motor Vehicle ◽  
Experimental Studies ◽  
Transport Systems ◽  
Experiment Planning ◽  
Traffic Light

Present experience shows that it is impossible to solve the problem of traffic congestion without intelligent transport systems. Traffic management in many cities uses the data of detectors installed at controlled intersections. Further, to assess the traffic situation, the data on the traffic flow rate and its concentration are compared. Latest scientific studies propose a transition from spatial to temporal concentration. Therefore, the purpose of this work is to establish the regularities of the influence of traffic flow concentration in time on traffic flow rate at controlled city intersections. The methodological basis of this study was a systemic approach. Theoretical and experimental studies were based on the existing provisions of system analysis, traffic flow theory, experiment planning, impulses, probabilities, and mathematical statistics. Experimental data were obtained and processed using modern equipment and software: Traficam video detectors, SPECTR traffic light controller, Traficam Data Tool, SPECTR 2.0, AutoCad 2017, and STATISTICA 10. In the course of this study, the authors analyzed the dynamics of changes in the level of motorization, the structure of the motor vehicle fleet, and the dynamics of changes in the number of controlled intersections. As a result of theoretical studies, a hypothesis was put forward that the investigated process is described by a two-factor quadratic multiplicative model. Experimental studies determined the parameters of the developed model depending on the directions of traffic flow, and confirmed its adequacy according to Fisher’s criterion with a probability of at least 0.9. The results obtained can be used to control traffic flows at controlled city intersections.

Effect of pedestrian traffic light on traffic flow accompany with pedestrian crossing

2021 ◽  
pp. 126059
Author(s):  
Yanhong Wang ◽  
Chong Zhang ◽  
Pengbin Ji ◽  
Tianning Si ◽  
Zhenzhen Zhang
Keyword(s):  
Traffic Flow ◽  
Traffic Light ◽  
Pedestrian Traffic ◽  
Pedestrian Crossing

scholarly journals Characteristics of Traffic Flows at Kuda Mati non-traffic light Intersection in Workhour and Holidays

2018 ◽  
Vol 73 ◽  
pp. 08030
Author(s):  
F. Betaubun Herbin
Keyword(s):  
Traffic Flow ◽  
Movement Pattern ◽  
Survey Method ◽  
Traffic Flows ◽  
Traffic Light ◽  
City Center ◽  
Work Time ◽  
Traffic Lights ◽  
Economic Support ◽  
The City

Characteristics of traffic flow needs to be revealed to describe the traffic flow that occurred at the research location. One of the patterns of traffic flow movement of Merauke Regency that is important enough to be observed is the movement pattern that occurs at Kuda Mati Non-traffic lights Intersection. This intersection is one of the access for economic support of Merauke Regency. The intersection connects the city center to the production centers and is used by the community to perform activities in meeting their needs such as working and meeting the needs of clothing, food and shelter. This fulfillment activity is usually differentiated according to work time and holiday time. The method used is survey method to describe the characteristics of traffic flow at the intersection. Data analysis applied MKJI 1997. The results show that peak hour traffic flow occurs at 17.00 - 18.00 on holiday 803 smp / hour, while for working time the traffic flow is evenly distributed with maximum vehicle volume occur at 12:00 to 13:00 which amounted to 471 smp / hour.

scholarly journals Application of modern ASUDD solutions on the example of Shchors street, Belgorod

2021 ◽  
Vol 341 ◽  
pp. 00015
Author(s):  
Nikolay Zagorodniy ◽  
Alexey Borovskoy ◽  
Olga Borovskaya ◽  
Evgeny Novopisny
Keyword(s):  
Traffic Flow ◽  
Field Studies ◽  
Traffic Flows ◽  
Traffic Light

the application of modern ASUDD solutions is considered on the example of Shchors Street in Belgorod. Field studies of traffic flows were carried out. When modeling the considered area, an increase in the load was revealed. A traffic light layout plan has been developed. It is established that due to the control of the traffic flow in the lanes with the help of ASUDD solutions, the redistribution of traffic flows in the directions is achieved.

scholarly journals Determination of Optimal Traffic Light Period Using a Discrete Traffic Flow Model

Mechanika ◽  
2019 ◽  
Vol 24 (6) ◽  
Author(s):  
Algimantas DANILEVIČIUS ◽  
Marijonas BOGDEVIČIUS ◽  
Modesta GUSAROVIENĖ ◽  
Gediminas VAIČIŪNAS ◽  
Robertas PEČELIŪNAS ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Flow Model ◽  
Light Period ◽  
Traffic Light ◽  
Traffic Flow Model

scholarly journals IMPROVING TRAFFIC FLOW AT INTERSECTION USING INTELLIGENT TRAFFIC MANAGEMENT SYSTEM

2020 ◽  
Vol 1 (2) ◽  
pp. 65-70
Author(s):  
Daniel Shunu
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Management System ◽  
Clustering Algorithm ◽  
Detection System ◽  
Control Agent ◽  
Traffic Light ◽  
Traffic Management System ◽  
Intersection Control ◽  
The Greedy Algorithm

In this study, a proposed intelligent traffic management system is presented making use of the wireless sensor network for improving traffic flow.  By making use of the clustering algorithm, VANET environment is utilized for the proposed system. The components of the proposed system include sensor node hardware, vehicle detection system through magnetometer, and UDP protocol for communication between the nodes. The intersection control agent receives the information about the vehicles and by making use of its algorithm, it dynamically changes the traffic light timings. By making use of the greedy algorithm, the system can be enhanced to a wider area by connecting multiple intersections.

scholarly journals Optimization of cycle time on signalized intersections of H.E.A Mokodompit Street – M.T Haryono – H.A. Nasution Kendari city based on traffic flow volume

2021 ◽  
Vol 1 (1) ◽  
pp. 039-048
Author(s):  
Ridwan Syah Nuhun ◽  
Usman Rianse ◽  
Marsuki Iswandi ◽  
Adris Ade Putra ◽  
Abdul Kadir ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Cycle Time ◽  
Traffic Control ◽  
Service Level ◽  
Light Signal ◽  
Signalized Intersections ◽  
Degree Of Saturation ◽  
Traffic Light ◽  
The North ◽  
Control Light

Intersection of H.E.A. Mokodompit Street – M.T. Haryono – H.A. Nasution is one of the signalized intersections in Kendari City which has congestion problems, vehicle accumulation and vehicle queues at each arm of the intersection at rush hour due to the large volume of traffic flow and not optimal cycle timing from the traffic light signal. The purpose of this study is to optimize the cycle time of traffic control light signals based on traffic volume and to analyze the performance of these intersections. The results of the analysis based on the volume of traffic flow obtained the optimal cycle time of 72 seconds with the division of green time in each approach by 18 seconds for the north approach, 14 seconds for the eastern approach and 28 seconds for the south approach. The degree of saturation at each intersection arm is 0.82 which is at the service level D.

scholarly journals Optimization of Traffic Flow On KS Tubun Street using Greenberg Model

2019 ◽  
Vol 8 (2S7) ◽  
pp. 83-86
Keyword(s):  
Traffic Flow ◽  
Red Light ◽  
Green Light ◽  
Light Cycle ◽  
Traffic Light ◽  
Traffic Jam ◽  
Traffic Lights ◽  
The Road ◽  
Road Users ◽  
Time Parameters

KS Tubun Street is a street in Bogor, which has a fairly high vehicle volume and become one of a high-traffic jam area. This is caused by KS Tubun Street is the main road for road users from Jakarta and Bogor. Traffic jam problem that occurs due to the confluence interchange of traffic flow and traffic lights settings that are not proportional to the volume of vehicles across the road. Optimization of traffic flow at KS Tubun Street performed by the stages of forming a model of traffic flow, determining the density and velocity of the vehicle is based on the Greenberg model, and determining the length of the traffic lights to avoid a buildup of vehicles. The result is a traffic flow model with distance and time parameters. The density of vehicles that occurs on the streets of KS. Tubun street based on the Greenberg model between 180 to 240 unit car of passanger (ucp) with the average velocity of vehicles 15 to 19.5 km per hour. The density of vehicles on KS. Tubun street can be break down by increasing time. Traffic light cycle time can be reduced for 8 seconds with the red light glowing time is 80 seconds and the green light glowing time is 62 seconds.

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.

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