scholarly journals Research on Key Technology of Signal Control Subarea Partition Based on Correlation Degree Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Huihui Lan ◽  
Xianyu Wu
Keyword(s):  
Traffic Control ◽  
Coordinated Control ◽  
Optimization Method ◽  
Analysis Method ◽  
Control Effect ◽  
Average Delay ◽  
Traffic Efficiency ◽  
Correlation Degree ◽  
Correlation Analysis Method ◽  
Division Model

In order to accurately divide the traffic control subarea and improve the regional coordination control effect, this paper studies the key technologies of traffic control subarea division from the influence of the discrete characteristics of the fleet on the coordinated control. Correlation analysis method and regression analysis method are used to construct the correlation model of adjacent intersections. The principle and process of transportation subarea division are designed by using analytic hierarchy process, and a new traffic subarea division model is proposed. Taking Gulou Street in Miyun District of Beijing as an example, combined with the green wave coordination optimization method, the new model was applied and simulated in SimTraffic. The simulation results show that the average delay of the intersection is reduced by 21.4%, the total number of stops is reduced by 9.62%, and the travel time is shortened by 8.75%. The new intersection degree model and the coordinated control scheme obtained by the traffic subarea division model make the highest traffic efficiency. That is, to verify the scientific research method of this paper, the research results are reliable and the practical application value is high.

scholarly journals Research on Urban Traffic Active Control in Cooperative Vehicle Infrastructure

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Li-li Zhang ◽  
Li Wang ◽  
Qi Zhao ◽  
Fang Wang ◽  
Yadongyang Zhu ◽  
...  
Keyword(s):  
Traffic Control ◽  
Optimization Method ◽  
Control Model ◽  
Urban Traffic ◽  
Advanced Technology ◽  
Traffic Demand ◽  
Traffic Efficiency ◽  
Dynamic Phase ◽  
Phase Sequence ◽  
Intersection Control

Urban intersection control mainly undertakes two tasks: traffic safety and traffic efficiency. Traditional intersection control models and methods have been insufficient in improving traffic efficiency, which is composed of the increase in traffic demand and the complexity of demand at present. In this paper, we propose a novel model and method called ATCM, which is based on the advanced technology of cooperative vehicle infrastructure. In this paper, a novel active traffic control model (ATCM) is proposed, which is based on the advanced technology of cooperative vehicle infrastructure. ATCM increases the intersection control model variables from the traditional two dimensions to five dimensions. It reshapes intersection control from the perspective of road designers and managers, so it can achieve more flexible and efficient traffic control. To this end, a multivariable active traffic control model is constructed, which includes road speed, lane control, sequence, phase, and green light time; a D-double layer optimization method is designed for this model. The first part of this optimization method combines speed control and dynamic phase sequence control. The second part is realized by the combination of lane control and dynamic phase sequence control. By conducting comprehensive experiments, the results demonstrate that the proposed approach is more flexible and efficient than traditional methods.

The Applying of Grey Correlation Degree Theory on Quantitative Area Risk Assessment

2014 ◽  
Vol 915-916 ◽  
pp. 1500-1503
Author(s):  
Qing Min Si ◽  
Hao Zhang ◽  
Jin Lin Wu ◽  
Jing Qi Yu ◽  
Jian Min Yi
Keyword(s):  
Risk Assessment ◽  
Correlation Analysis ◽  
Degree Theory ◽  
Analysis Method ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Correlation Analysis Method ◽  
Grey Correlation Degree

The quantitative area risk assessment (QARA) are definitted based on the characteristics of the area risk assessment, and the model of the QARA are proposesed. Based on the accident consequences analysis method and the theory of grey correlation, it presents the risk correlation analysis method which is used to analysis the risk correlation value between the projects, and discusses the grading method of the risk correlation according to the smooth handling idea. The practical applying results show that the theory of risk correlation has a good practical in QARA.

scholarly journals Coordinated Control Model of Main-Signal and Pre-Signal for Intersections with Dynamic Waiting Lanes

2018 ◽  
Vol 10 (8) ◽  
pp. 2849 ◽  
Author(s):  
Chen Zhao ◽  
Yulin Chang ◽  
Peng Zhang
Keyword(s):  
Traffic Control ◽  
Control Method ◽  
Coordinated Control ◽  
Control Model ◽  
Signal Timing ◽  
Average Delay ◽  
Before And After ◽  
Traffic Volumes ◽  
Vehicle Delay

In order to alleviate the problem of the oversaturation of intersections, a traffic control method using a main-signal and pre-signals to periodically control the direction of dynamic waiting lanes was proposed in this paper. Based on the research on vehicle delay at intersections with dynamic waiting lanes and constraint relationships among a set of timing elements of the main-signal and pre-signal, a coordinated control model of a main-signal and pre-signal was built to minimize the average delay. Finally, a case study was performed to show that the proposed model is feasible. The objective optimization was performed by using a genetic algorithm to determine the main-signal and pre-signal timing scheme of the case study intersection, and then the average delay before and after installing dynamic waiting lanes was calculated and analyzed. The proposed method was found to be effective in reducing the intersection delay by 31.8% compared with the present situation of the intersection. Subsequently, the traffic volumes in the directions with dynamic waiting lanes installed were changed. It was demonstrated that with increasing traffic volumes, the effectiveness of the model to reduce intersection delay would be significant.

Application of Cross-correlation Analysis Method for Measurement of the Fluid Flow Rate Based on X-ray Radiation

2019 ◽  
Vol 11 (1) ◽  
pp. 01025-1-01025-5 ◽  
Author(s):  
N. A. Borodulya ◽  
◽  
R. O. Rezaev ◽  
S. G. Chistyakov ◽  
E. I. Smirnova ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Correlation Analysis ◽  
Flow Rate ◽  
Cross Correlation ◽  
Fluid Flow Rate ◽  
Analysis Method ◽  
X Ray ◽  
Cross Correlation Analysis ◽  
Correlation Analysis Method

scholarly journals Multiobjective Optimization Model for Collaborative En-Route and Slot Allocation

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Shangwen Yang ◽  
Jingting Zhang ◽  
Ping Chen ◽  
Yongjie Yan
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Programming Model ◽  
Numerical Test ◽  
Simulated Data ◽  
Slot Allocation ◽  
Collaborative Decision Making ◽  
Average Delay ◽  
Flight Delay ◽  
Collaborative Decision

To allocate the en-routes and slots resource to the flights with collaborative decision-making, a multiobjective 0-1 integer programming model was proposed. According to different demands from air traffic control departments, airlines, and passengers, efficiency, equity, and effectiveness principles of collaborative decision-making were considered. With the aim to minimize the total flight delay costs, the total number of turning points, and average delay time of passengers, the effectiveness constraints were achieved. The algorithm was designed to solve the model on the basis of the objective method, and Lingo11 and MatlabR2007b were applied in numerical tests. To test how well the model works in real world, a numerical test was performed based on the simulated data of a civil en-route. Test results show that, compared with the traditional strategy of first come first served, the model gains better effect. The superiority of the model was verified.

scholarly journals THE DEVELOPMENT OF THE QUALITY MANAGEMENT SYSTEM IN TERMS OF KNOWLEDGE MANAGEMENT / KOKYBĖS VADYBOS SISTEMŲ TOBULINIMAS ŽINIŲ VADYBOS ASPEKTU

2011 ◽  
Vol 3 (4) ◽  
pp. 113-119
Author(s):  
Romualdas Vitkauskas
Keyword(s):  
Knowledge Management ◽  
Quality Management ◽  
Quality Management System ◽  
Analysis Method ◽  
Continual Improvement ◽  
Correlation Analysis Method ◽  
Product And Process ◽  
Quality Of Products ◽  
The Relationship

The interaction of quality management and knowledge man­agement are analyzed quite widely in scientific literature and discussed with reference to various models integrating these two management theories. However, there are not enough precise tools that could provide a possibility of improving the quality of products and services through knowledge management. To this end, the article examines the already existing models for the interaction between quality management and knowledge management. The results of a survey on Lithuanian industry show what organizational knowledge is the most important while implementing quality management principles aimed at improving quality. The correlation analysis method showed the relationship between quality management principles (process approach, continual improvement, management, facts) and the factors defining the product and process quality (the extent of determining process execution time, process resources, costs of process stages, indicators for products and/or services, the dura­tion of the process, the extent of measuring indicators, the extent of collecting information on indicators, the extent of collecting information about the costs of the process). Santrauka Kokybės vadybos ir žinių vadybos sąveika mokslinėje literatūroje analizuojama gana plačiai, aptariami įvairūs sąveikos modeliai integruojant šias dvi vadybos teorijas. Tačiau nepakankamai nagrinėjamos konkrečios priemonės, kuriomis būtų galima pagerinti produktų ir paslaugų kokybę pasitelkiant žinių vadybą. Tuo tikslu straipsnyje analizuojami jau egzis­tuojantys kokybės vadybos ir žinių vadybos sąveikos modeliai bei pateikiami Lietuvos pramonės įmonių tyrimo rezultatai, parodantys, kokios organizacinės žinios svarbiausios įgyvendinant kokybės vadybos principus, skirtus kokybei gerinti. Taikant koreliacinės analizės metodą nustatyta, kad egzistuoja ryšys tarp kokybės vadybos principų (procesinio požiūrio, nuolatinio gerinimo, valdymo remiantis faktais) įgyvendinimo lygio ir veiksnių, apibūdinančių produktų ir procesų kokybę (procesų įvykdymo laiko nustatymas, procesų išteklių nustatymas, procesų etapų išlaidų nustatymas, produktų ir (ar) paslaugų rodiklių nustatymas, rodiklių matavimas, rodiklių informacijos rinkimas, informacijos apie proceso trukmę nustatymas ir informacijos apie proceso išlaidas rinkimas).

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