The deterministic component of the traffic 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.

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Lag Variables in Nitrogen Oxide Concentration Modelling: A Case Study in Wrocław, Poland

Atmosphere ◽

10.3390/atmos11121293 ◽

2020 ◽

Vol 11 (12) ◽

pp. 1293

Author(s):

Joanna A. Kamińska ◽

Fernando Jiménez ◽

Estrella Lucena-Sánchez ◽

Guido Sciavicco ◽

Tomasz Turek

Keyword(s):

Air Quality ◽

Wind Speed ◽

Traffic Flow ◽

Sunshine Duration ◽

Delayed Effect ◽

Hourly Data ◽

Random Forest Models ◽

Flow Intensity ◽

Lag Variables ◽

The Impact

Due to the unwavering interest of both residents and authorities in the air quality of urban agglomerations, we pose the following question in this paper: What impact do current and past meteorological factors and traffic flow intensity have on air quality? What is the impact of lagged variables on the fit of an explanation model, and how do they affect its ability to predict? We focused on NO2 and NOx concentrations, and conducted this research using hourly data from the city of Wrocław (western Poland) from 2015 to 2017; we used multi-objective optimization to determine the optimal delays. It turned out that for both NO2 and NOx, the past values for traffic flow, wind speed, and sunshine duration are more important than the current ones. We built random forest models on each of the pollutants for both the current and past values and discovered that including a lagged variable increases the resulting R2 from 0.51 to 0.56 for NO2 and from 0.46 to 0.52 for NOx. We also analyzed the feature importance in each model, and found that for NO2, a wind speed delay of more than three hours causes a significant decrease, while the importance of relative humidity increases with a seven-hour delay; likewise, wind speed increases the importance for NOx prediction with a two-hour delay. We concluded that, in pollutant concentration modeling, the possibility of a delayed effect of the independent variables should always be considered, because it can significantly increase the performance of the model and suggest unexpected relationships or dependencies.

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FOURIER ANALYSIS OF THE TRAFFIC FLOW INTENSITY

Intelligence Innovations Investment ◽

10.25198/2077-7175-2021-4-46 ◽

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.

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Determining the Applicability Area of Single-Lane Roundabout Depending on Traffic Flow Intensity

Advanced Technologies, Systems, and Applications IV -Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of Advanced Technologies (IAT 2019) - Lecture Notes in Networks and Systems ◽

10.1007/978-3-030-24986-1_14 ◽

2019 ◽

pp. 171-186

Author(s):

Ammar Saric ◽

Sanjin Albinovic ◽

Mirza Pozder ◽

Suada Dzebo ◽

Emira Muftić

Keyword(s):

Traffic Flow ◽

Flow Intensity

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Short-Term Traffic Flow Intensity Prediction Based on CHS-LSTM

Arabian Journal for Science and Engineering ◽

10.1007/s13369-020-04862-3 ◽

2020 ◽

Vol 45 (12) ◽

pp. 10845-10857

Author(s):

Lei Zhao ◽

Quanmin Wang ◽

Biao Jin ◽

Congmin Ye

Keyword(s):

Traffic Flow ◽

Short Term ◽

Intensity Prediction ◽

Flow Intensity

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

Automobile Roads and Road Construction ◽

10.33744/0365-8171-2021-109-184-190 ◽

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.

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