scholarly journals USING THE COMPLEX OF PHOTO AND VIDEO RECORDING OF TRAFFIC VIOLATIONS TO IDENTIFY DETERMINISTIC AND STOCHASTIC COMPONENTS OF THE TRAFFIC FLOW INTENSITY

2021 ◽  
pp. 61-71
Author(s):  
M.G. Boyarshinov ◽  
◽  
A. S. Vavilin ◽  
A.G. Shumkov ◽  
◽  
...  
Keyword(s):  
Traffic Flow ◽  
Methodological Approach ◽  
Video Recording ◽  
Statistical Processing ◽  
Practical Significance ◽  
Traffic Flows ◽  
Traffic Lights ◽  
Deterministic Component ◽  
Traffic Violations ◽  
Flow Intensity

The relevance of the manuscript is due to the need to process and analyze the information accumulated by the complexes of photo-video recording of traffic violations, which will further develop mathematical, computational and simulation models of road transport, solve problems of optimization and management of traffic flows, make management decisions to reduce the number of congestion and reduce the anthropogenic load on the environment. The object of the study is a part of a three-lane road with heavy one-way traffic, equipped with a software and technical complex that allows measuring the main characteristics of the traffic flow (vehicle speeds, including the average values on the controlled road part, driving time, etc.). The subject of the study is the traffic flow intensity during a 7-day time (from Monday to Sunday). The analysis of the obtained dependences allowed us to formulate a hypothesis about the presence of determin- istic and stochastic components in the traffic flow intensity, which is a random function of time, and the verification of which is the purpose of this study. Statistical processing of the obtained data is used as a theoretical and methodological approach, as well as the assumption that the traffic flow intensity can be represented by the sum of deterministic and stochastic components. The developed approach using the smoothing procedure allowed us to select both components, and this is a scientific novelty of the analysis performed. As a result of the study, it is shown that the deterministic component of the traffic flow intensity for working days is qualitatively different from the deterministic component for weekends. Statistical indicators of probabilistic distributions of traffic flow intensities and random components selected from them are determined. Estimates of the correspondence of the selected curves to the normal law of probability distribution are obtained using the Kolmogorov and Pearson criteria, which contradict each other. Practical significance consists in the use of a deterministic component for predicting traffic flows, controlling the operation of traffic lights, monitoring the operation of equipment, as well as in the reconstruction, design and construction of roads and road objects. The direction of further research is to obtain, statistically process and generalize data on the traffic flows intensity in other parts of the road network.

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 FOURIER ANALYSIS OF THE TRAFFIC FLOW INTENSITY

2021 ◽  
pp. 46-59
Author(s):  
M.G. Boyarshinov ◽  
◽  
A.S. Vavilin ◽  
A.G. Shumkov ◽  
◽  
...  
Keyword(s):  
Time Series ◽  
Fourier Series ◽  
Traffic Flow ◽  
Harmonic Functions ◽  
Traffic Flows ◽  
The Road ◽  
Flow Intensity ◽  
Software And Hardware ◽  
On The Road ◽  
Amplitude Characteristics

The relevance of this work is determined by the need to find modern ways to process the information about traffic flows for regulating and controlling the movement of transport and pedestrians, to reduce congestion, road accidents, etc. The object of study is a part of road with heavy two-way traffic, equipped with a software and hardware complex that allows to measure the characteristics of the transport flow. The subject of the study is the daily intensity of the cars flow during the week, from Monday to Sunday. The purpose of this study is to analyze the amplitudes, frequencies, and periods of harmonic functions obtained by decomposing the time series of road traffic intensities to identify the main patterns of traffic flow formation. As a theoretical and methodological approach, the decomposition of the function of the traffic flow intensity in the Fourier series with respect to harmonic functions is used. The approach developed by the authors using the fast Fourier transform procedure made it possible to determine the amplitude-frequency characteristics of the time series under consideration, which is a scientific novelty of the analysis. It is proposed to use the «period-amplitude» characteristics as physically more meaningful instead of the «frequency-amplitude» dependencies traditionally used for the analysis. The processing of data obtained from software and hardware complexes allowed us to determine dependences of the car flow intensity on the road of the Perm city at different averaging intervals, to describe the features of the motor transport movement on the road under consideration. As a result of the study, the amplitude-frequency characteristics of time series are obtained. It is shown that the individual harmonics of the Fourier series expansion of the traffic flow intensity, which exhibits the properties of a random function, duplicate the periodicity of the global, local, and intermediate extremes of the original function and have similar periods. The practical significance consists in the use of the decomposition of the function of the traffic flow intensity in the Fourier series of harmonic functions for predicting traffic flows, controlling the operation of traffic lights, monitoring the operation of equipment, as well as in the reconstruction, design and construction of roads and road objects. The study will continue in the direction of obtaining, processing and determining the «period-amplitude» characteristics for time series of traffic flow intensity for other road networks.

Real-Time Traffic Signal Control Based on Kalman Filtering Theory

2015 ◽  
Vol 713-715 ◽  
pp. 915-918
Author(s):  
Yuan Xin Xu ◽  
Wan Ying Yang ◽  
Wen Shi
Keyword(s):  
Kalman Filter ◽  
Traffic Flow ◽  
Control Method ◽  
Urban Traffic ◽  
Traffic Signal Control ◽  
Signal Timing ◽  
Traffic Flows ◽  
Traffic Lights ◽  
Real Time Traffic ◽  
Stable Signal

Aiming at the problem that individual control of urban traffic lights and stable signal timing. This paper proposed a real timing control method of traffic lights which based on Kalman filter. This method use Kalman filter to predict the next time traffic flows and then update the signal timing. By field researching the traffic flow of intersection in peak hour and predicting the traffic flow. Then update the signal timing. Meanwhile using the VISSIM to simulate the intersection. The result of the simulation shows that the length of vehicle queue decreased significantly and the number of stops dropped. The efficiency of access has been greatly improved.

scholarly journals Multilane Traffic Flow Modeling Using Cellular Automata Theory

2018 ◽  
Vol 173 ◽  
pp. 06003 ◽  
Author(s):  
Antonina Chechina ◽  
Natalia Churbanova ◽  
Marina Trapeznikova
Keyword(s):  
Mathematical Modeling ◽  
Cellular Automata ◽  
Traffic Flow ◽  
Road Networks ◽  
Automata Theory ◽  
Flow Modeling ◽  
Traffic Flows ◽  
Microscopic Approach ◽  
Traffic Lights ◽  
Urban Road

The paper deals with the mathematical modeling of traffic flows on urban road networks using microscopic approach. The model is based on the cellular automata theory and presents a generalization of the Nagel-Schreckenberg model to a multilane case. The created program package allows to simulate traffic on various types of road fragments (T or X type intersection, strait road elements, etc.) and on road networks that consist of these elements. Besides that, it allows to predict the consequences of various decisions regarding road infrastructure changes, such as: number of lanes increasing/decreasing, putting new traffic lights into operation, building new roads, entrances/exits, road junctions.

scholarly journals The emergence of free intervals in the traffic flow depending on the intensity of movement and speed

2021 ◽  
pp. 184-190
Author(s):  
Tetiana Sokolenko ◽  
◽  
Anatoliy Palchyk ◽  
Keyword(s):  
Traffic Flow ◽  
Delay Time ◽  
Lag Time ◽  
Traffic Flows ◽  
Cross Sectional ◽  
Free Interval ◽  
Vehicle Delay ◽  
Flow Intensity ◽  
The Cross ◽  
Made In

The movement of single and group cars in traffic flows was investigated during the work. These studies are used to calculate the vehicle delay time during maneuvers through crossings and adjacencies at the same level. On the basis of the data obtained, the technical and economic discussion of the cross-sectional or adjoining parameters under consideration can be made. In the course of the study, examination will be conducted on the influence of intensity, velocity and traffic flow on the distribution intervals between cars and a graph of this effect for different traffic intensities is to be constructed. On the basis of the provided charts, the dependence of the free interval, necessary for maneuvering, on the traffic flow intensity is described. Using this dependence, you can figure out the number of cars that can be transported continuously. Knowing the traffic flow, its intensity and the distribution of free intervals between cars and groups of vehicles, the lag time of cars that are waiting for the ability to maneuver as well as their quantity can be calculated with the help of the proposed method.

TripRes

2021 ◽  
Vol 17 (2) ◽  
pp. 1-21
Author(s):  
Xiaolong Xu ◽  
Zijie Fang ◽  
Lianyong Qi ◽  
Xuyun Zhang ◽  
Qiang He ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Discrete Distribution ◽  
Resource Provisioning ◽  
Path Selection ◽  
Urban Traffic ◽  
Traffic Flows ◽  
Multimedia Services ◽  
Traffic Flow Prediction ◽  
The City ◽  
Multimedia Surveillance

The Internet of Vehicles (IoV) connects vehicles, roadside units (RSUs) and other intelligent objects, enabling data sharing among them, thereby improving the efficiency of urban traffic and safety. Currently, collections of multimedia content, generated by multimedia surveillance equipment, vehicles, and so on, are transmitted to edge servers for implementation, because edge computing is a formidable paradigm for accommodating multimedia services with low-latency resource provisioning. However, the uneven or discrete distribution of the traffic flow covered by edge servers negatively affects the service performance (e.g., overload and underload) of edge servers in multimedia IoV systems. Therefore, how to accurately schedule and dynamically reserve proper numbers of resources for multimedia services in edge servers is still challenging. To address this challenge, a traffic flow prediction driven resource reservation method, called TripRes, is developed in this article. Specifically, the city map is divided into different regions, and the edge servers in a region are treated as a “big edge server” to simplify the complex distribution of edge servers. Then, future traffic flows are predicted using the deep spatiotemporal residual network (ST-ResNet), and future traffic flows are used to estimate the amount of multimedia services each region needs to offload to the edge servers. With the number of services to be offloaded in each region, their offloading destinations are determined through latency-sensitive transmission path selection. Finally, the performance of TripRes is evaluated using real-world big data with over 100M multimedia surveillance records from RSUs in Nanjing China.

scholarly journals A Cellular Automaton Traffic Flow Model with Advanced Decelerations

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Yingdong Liu
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Flow Model ◽  
Stable State ◽  
Practical Significance ◽  
Fundamental Diagram ◽  
Traffic Flow Model ◽  
Short Time ◽  
Vehicle Deceleration ◽  
Real Traffic

A one-dimensional cellular automaton traffic flow model, which considers the deceleration in advance, is addressed in this paper. The model reflects the situation in the real traffic that drivers usually adjust the current velocity by forecasting its velocities in a short time of future, in order to avoid the sharp deceleration. The fundamental diagram obtained by simulation shows the ability of this model to capture the essential features of traffic flow, for example, synchronized flow, meta-stable state, and phase separation at the high density. Contrasting with the simulation results of the VE model, this model shows a higher maximum flux closer to the measured data, more stability, more efficient dissolving blockage, lower vehicle deceleration, and more reasonable distribution of vehicles. The results indicate that advanced deceleration has an important impact on traffic flow, and this model has some practical significance as the result matching to the actual situation.

Ефективність інноваційної діяльності харчової промисловості в системі цілей сталого розвитку країни

Ekonomika APK ◽  
2021 ◽  
Vol 319 (5) ◽  
pp. 46-56
Author(s):  
Olha Kovalenko ◽  
Liudmyla Yashchenko
Keyword(s):  
Sustainable Development ◽  
Capital Investment ◽  
Food Industry ◽  
Methodological Approach ◽  
Calculated Data ◽  
Weighted Average ◽  
Practical Significance ◽  
Educational Institutions ◽  
The Sustainable Development ◽  
Methodical Approach

The purpose of the article is to improve approaches to assessing the effectiveness of innovative activities of the food industry and its individual subsectors to identify prospects for development and problems that can hinder the sustainable development of this area of production and the country as a whole. Research methods. The article uses the methods of theoretical generalizations and comparisons, which made it possible to comprehensively consider and generalize methodological approaches to assessing the effectiveness of innovation in industries. When systematizing the calculated data by the intensity of innovation costs, the methods of statistical classification and grouping were used. To achieve the goal of the study, the methodology for assessing the level of manufacturability of industries has been improved (the OECD methodology is taken as a basis), which made it possible to re-evaluate the effectiveness of innovative activities in sub-sectors of the food industry with an emphasis on the computerization of production. Research results. The article presents a methodical approach to assessing the effectiveness of innovation in the food industry. The study is based on the OECD methodology for assessing the manufacturability of industries, which is to calculate the weighted average cost intensity of R & D. The application of this approach to the food industry has confirmed the too low level of its innovative manufacturability. It was found that due to the lack of relevant statistics on R&D expenditures, it is difficult to assess the effectiveness of innovation in certain sectors of the food industry. It is proposed to solve this problem with the help of capital investment indicators, which are invested in the software of industries and are directly related to the level of computerization of technological processes. The obtained indicators of the intensity of software costs are ranked in descending order and divided into three groups according to the level of computerization, which characterizes the efficiency of innovation, as its level increases profits and profitability in industries. This will contribute to the goals of sustainable development of the country (including goals 2 and 9) and increase the competitiveness of the food industry. Scientific novelty. A methodological approach to assessing the effectiveness of innovative activities of sub-sectors of the food industry in Ukraine is proposed, which will contribute to the formation of a new look at the research methodology of this area of knowledge. Practical significance. Designed for professionals in the field of food industry economics, scientists, teachers, graduate students and students of higher educational institutions. The results of the study can be used by experts to assess the level of manufacturability of industries. Tabl.: 3. Refs.: 30.

LIGHT REGULATION SYSTEMS IMPROVEMENT ANALYSIS TO FORECAST THE TRANSPORT FLOWS IN ALMATY

2021 ◽  
Vol 116 (1) ◽  
pp. 299-304
Author(s):  
Assel Aliyadynovna Sailau
Keyword(s):  
Environmental Pollution ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Light Regulation ◽  
Transport Network ◽  
Traffic Flows ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Transport Telematics

The number of vehicles on the roads of Almaty, Kazakhstan is growing from year to year. This brings about an increasing intensity and density of traffic flows in the streets which leads to congestion, decreasing speed of the traffic flow, increasing environmental pollution caused by car emissions, and which can potentially lead to the road traffic accidents (RTA), including fatalities. While the number of injuries grows up mainly due to drivers’ non-compliance with the speed limit, the environmental pollution is caused by longer traffic jams. Therefore, to reduce the level of road traffic injuries and emissions into the environment it is necessary to ensure the uniform movement of traffic flows in cities. Currently, one of the effective ways to do it is the use of transport telematics systems, in particular, control systems for road signs, road boards and traffic lights. The paper presents an analysis of existing systems and methods of traffic light regulation. The  analyses of the systems and methods are based on the use of homogeneous data, that is the data on standard parameters of traffic flows. The need in collecting and analyzing additional semi-structured data on the factors that have a significant impact on the traffic flows parameters in cities is shown as well. The work is dedicated to solving the problem of analysis and forecast of traffic flows in the city of Almaty, Kazakhstan. GPS data on the location of individual vehicles is used as the initial data for solving this problem. By projecting the obtained information onto the graph of the city's transport network, as well as using additional filtering, it is possible to obtain an estimate of individual parameters of traffic flows. These parameters are used for short-term forecast of the changes in the city's transport network.

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