scholarly journals Development of multiparameter equations for satellite monitoring analysis of traffic flow

2018 ◽  
Vol 143 ◽  
pp. 04009 ◽  
Author(s):  
Alexander Testeshev ◽  
Vera Timohovetz ◽  
Tatyana Mikeladze
Keyword(s):  
Traffic Flow ◽  
Dynamic Characteristics ◽  
Road Networks ◽  
Weather Conditions ◽  
Satellite Monitoring ◽  
Flow Modeling ◽  
Traffic Flows ◽  
Mathematical Methods ◽  
The Road ◽  
Multiparameter Equations

The paper is dedicated to the development of multiparameter equations of traffic flows for satellite monitoring analysis of the road networks of major cities. Use of multiparameter dependences will allow interpreting the road situation by transforming a static image into dynamic characteristics of traffic and refuse from multiple mono-dependences which account road and weather conditions. Multiparameter dependences are developed based on mathematical methods for traffic flow modeling. The issue of using cartographic resources with updatable databases are investigated, sufficient amount of observation samples was determined for development of reliable functional dependences. The suggested method allows minimizing resource expenses on creation of calculation framework for analysis of network monitoring results for traffic flows on road networks of modern metropolises.

scholarly journals Traffic Flow Modeling on Road Networks Using Cellular Automata Theory

2018 ◽  
Vol 7 (2.28) ◽  
pp. 225 ◽  
Author(s):  
A Chechina ◽  
N Churbanova ◽  
M Trapeznikova ◽  
A Ermakov ◽  
M German
Keyword(s):  
Cellular Automata ◽  
Initial Conditions ◽  
Road Networks ◽  
Original Model ◽  
Program Package ◽  
Automata Theory ◽  
Flow Modeling ◽  
Traffic Flows ◽  
Urban Road ◽  
The Road

The paper deals with mathematical modeling of traffic flows on urban road networks. The original model is based on the cellular automata theory and presents a generalization of Nagel-Schreckenberg model to a multilane case.Numerical realization of the model is represented in a form of the program package that consists of two modules: User Interface and Visualization module (for setting initial conditions and modelling parameters and visual representation of calculations) and Computation module (for calculations).Computations are carried out for each element of the road (i.e. T or X type intersection, straight road fragment) separately and in parallel, that allows performing calculations on various complex road networks. Different kinds of average characteristics (e.g. the capacity of the crossroad) can be also obtained using the program package. 

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 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.

scholarly journals Data-driven profiling of traffic flow with varying road conditions

2019 ◽  
pp. 149-157 ◽  
Author(s):  
O K Golovnin
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Flow Characteristics ◽  
Weather Conditions ◽  
Flow Speed ◽  
Data Driven ◽  
The Road ◽  
Data Driven Approach ◽  
Traffic Flow Characteristics ◽  
The City

The article describes the road, institutional and weather conditions that affect the traffic flow. I proposed a method for traffic flow profiling using a data-driven approach. The method operates with macroscopic traffic flow characteristics and detailed data of road conditions. The article presents the results of traffic flow speed and intensity profiling taking into account weather conditions. The study used road traffic and conditions data for the city of Aarhus, Denmark. The results showed that the method is effective for traffic flow forecasting due to varying road conditions.

scholarly journals A Novel Algorithm Based on the Pixel-Entropy for Automatic Detection of Number of Lanes, Lane Centers, and Lane Division Lines Formation

Entropy ◽  
2018 ◽  
Vol 20 (10) ◽  
pp. 725 ◽  
Author(s):  
Fernando Hermosillo-Reynoso ◽  
Deni Torres-Roman ◽  
Jayro Santiago-Paz ◽  
Julio Ramirez-Pacheco
Keyword(s):  
Traffic Flow ◽  
Intelligent Transportation Systems ◽  
Moving Objects ◽  
Color Space ◽  
Automatic Detection ◽  
Weather Conditions ◽  
Transportation Systems ◽  
Lane Detection ◽  
Computational Time ◽  
The Road

Lane detection for traffic surveillance in intelligent transportation systems is a challenge for vision-based systems. In this paper, a novel pixel-entropy based algorithm for the automatic detection of the number of lanes and their centers, as well as the formation of their division lines is proposed. Using as input a video from a static camera, each pixel behavior in the gray color space is modeled by a time series; then, for a time period τ , its histogram followed by its entropy are calculated. Three different types of theoretical pixel-entropy behaviors can be distinguished: (1) the pixel-entropy at the lane center shows a high value; (2) the pixel-entropy at the lane division line shows a low value; and (3) a pixel not belonging to the road has an entropy value close to zero. From the road video, several small rectangle areas are captured, each with only a few full rows of pixels. For each pixel of these areas, the entropy is calculated, then for each area or row an entropy curve is produced, which, when smoothed, has as many local maxima as lanes and one more local minima than lane division lines. For the purpose of testing, several real traffic scenarios under different weather conditions with other moving objects were used. However, these background objects, which are out of road, were filtered out. Our algorithm, compared to others based on trajectories of vehicles, shows the following advantages: (1) the lowest computational time for lane detection (only 32 s with a traffic flow of one vehicle/s per-lane); and (2) better results under high traffic flow with congestion and vehicle occlusion. Instead of detecting road markings, it forms lane-dividing lines. Here, the entropies of Shannon and Tsallis were used, but the entropy of Tsallis for a selected q of a finite set achieved the best results.

Traffic Flow Simulator by Multiagent

2001 ◽  
Vol 13 (4) ◽  
pp. 419-425
Author(s):  
Hitoshi Tsunashima ◽  
◽  
Yasukazu Nishi ◽  
Takashi Honjyo ◽  
Hiroyuki Kaku ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Artificial Life ◽  
Flow Analysis ◽  
Essential Elements ◽  
Individual Characteristics ◽  
Traffic Flows ◽  
The Road ◽  
The Past ◽  
Flow Simulator ◽  
Unique Individual

Several methods have been proposed for investigating complex traffic flows. However, the dynamics of vehicles and their drivers' characteristics, which are important factors for any traffic flow analysis, have not been considered sufficiently enough in the past. This paper describes a new concept for simulating complex traffic flows by multiple agents. The agents are considered as a kind of artificial life (A-Life), and their behaviors are independently based on their own knowledge. Drivers, vehicles, roads, and the traffic environment, which are essential elements in our simulation, are defined as the agents. The combination of the driver agent and the vehicle agent work based on the drivers' fields of vision and their unique individual characteristics. The road agent communicates with the vehicle agent in regard to its velocity and position. The effectiveness of our new method for modeling a traffic flow is shown by a simulation study.

scholarly journals MAPPING AND ASSESSMENT OF TRAFFIC CONGESTION ON MAJOR ROADS IN MINNA (CASE STUDY OF CHANCHAGA L.G.A)

2017 ◽  
Vol 4 (2) ◽  
pp. 171 ◽  
Author(s):  
Oluibukun Gbenga Ajayi ◽  
Ayodeji Timothy Oluwunmi ◽  
Joseph Olayemi Odumosu ◽  
Taiwo James Adewale
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Road Networks ◽  
Urban Centre ◽  
Pavement Condition ◽  
The Road ◽  
Road Pavement ◽  
Analysis Of Results ◽  
Narrow Road ◽  
Road Corridors

The level of urbanization in the developing world indicates that more people live in cities now than before. As urbanization increases, road usage also increases proportionately which sometimes introduce some strain to the existing road and as a consequence constitutes some impediments to free traffic flow. The situation described above is on the increase in Chanchaga Local Government Area of Niger State, an urban centre in North Central, Nigeria. In order to investigate the probable causes and degree of severity of this menace, an attempt has been made in this research to investigate and map out the nature of traffic congestion frequently experienced on some selected roads within Chanchaga LGA. These road networks include Kpakungun - Gidan Kwano road, Bosso-Mobil route, Bosso – Mekunkele route, Kpakungun – city gate road and Book roundabout – Mobil Route. Using a 1m Pan-Sharpened spatial resolution IKONOS Image, handheld GPS receivers, and manual traffic count, the traffic patterns of the selected road networks within the study area were assessed and mapped out. A Geo-Database was also designed for the routes which provide information about the road pavement condition, average traffic volume, adjacent land use, etc. Analysis of results and other queries performed revealed that the most probable causes of traffic congestion in Chanchaga LGA include narrow road width, bad road pavement and indiscriminate parking of vehicles along the road corridors, especially by commercial cab drivers. Conclusively, it was observed that the Kpakungun axis of Minna – Bida road is the most congested route of all the road networks considered, closely followed by the Bosso-Mobil Road. The traffic gridlock along these routes is most prominent on Mondays and Wednesdays (around 8 am and 4 pm) and also on Fridays (around 1-4pm). Also, a free traffic flow is often experienced on Saturdays by 8 am which gradually builds into a synchronized flow around the evening time on all the road networks considered.  

scholarly journals Analysis of the distribution of the number of applications of the estimated load on the Federal roads during the year

2018 ◽  
Vol 5 (4) ◽  
Author(s):  
Vladimir Akulov ◽  
Artem Tiraturyan ◽  
Ilya Bodro ◽  
Anastasia Simakova ◽  
Marina Farnieva
Keyword(s):  
Traffic Flow ◽  
Statistical Processing ◽  
Weather Conditions ◽  
Design Stage ◽  
Traffic Intensity ◽  
Agricultural Industry ◽  
The Road ◽  
Calculated Load ◽  
On The Road ◽  
Favorable Weather

The article is devoted to the statistical processing of traffic intensity and composition of traffic flow obtained from the points of automated traffic intensity accounting for 2010-2018 in order to determine the distribution of the number of applications of the calculated load by months. The main source of information for statistical processing was the results of traffic accounting on highways M-1 «Belarus», a-107 MMK Mozhaisk-Volokolamsk highway, M-3 «Ukraine», M-4 «don», M-4 «don». The correct determination of the traffic intensity and composition of the traffic flow is an important task that allows you to make adequate decisions at the design stage of roads, namely to choose a road structure that can operate under load from the actual traffic flow for the entire service life. The authors calculated the total number of applications of the calculated load to the point on the surface of the coating, using the coefficients of reduction of vehicles to the calculated load of 115 kN. After calculating the total number of applications, the resulting value was divided by the number of days in the month in question. According to the data obtained, the total total number of applications of the calculated load at all points of accounting, by month, was found. The minimum values of the number of load applications are observed in winter (January, February, March), when the situation on the road deteriorates due to weather conditions. The values range from 4.75 % to 8 % for roads M-1 «Belarus», M-3 «Ukraine», M-4 «Don», M-4 «Don». The maximum values of the number of load applications observed in the warmer months (July, August, September, October), due to the fact that there are favorable weather conditions for recreation and the most active agricultural industry. The values range from 7.6 % to 11.3 % for the roads M-1 «Belarus», M-3 «Ukraine», M-4 «Don», M-4 «Don».

scholarly journals DETERMINATION OF TRAFFIC FLOWS PARAMETERS ON THE MANAGEMENT NETWORK

2020 ◽  
Author(s):  
Nataliia Semchenko ◽  
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Management ◽  
Traffic Flows ◽  
The Road ◽  
Specific Intensity ◽  
Traffic Flow Management ◽  
On The Road ◽  
Basic Characteristics

The work is devoted to the actual problem of determining the parameters of dense traffic flows on the road cities network, which can be used when introducing automated traffic control systems. The subject of the study is to determine the parameters of traffic flows in the central part of the city. The purpose of the work is to develop methods for determining the parameters of traffic flows of the street and road network on the basis of empirical and analytical modeling to reduce the number of peripheral measuring devices in the automated traffic control system. Methodology. In the given thesis there was solved the applied scientific problem of short-term operational forecasting of the traffic flow intensity on the transport network using the empirical-analytical approach, in which the measurement of traffic flow parameters at the entrances to the area of traffic flow management is carried out by transport detectors, internal local objects are determined by modeling. The proposed model is based on the determination of intensities at approaches to stop lines of internal crossroads of the management area using recurrent sequences. Experimental researches of traffic flows on the network and on the crossings were carried out using video filming during periods of maximum load. A comparative analysis of the simulation results with the experimental data showed that the relative error on a network with an area of 50-60 hectares does not exceed 3%, which indicates the adequacy of the model and the possibility of using it for management tasks. Practical implications. Implementation of the empirical-analytical method in automated traffic management systems will make it possible to reduce the number of detectors by 43-46% depending on the area of traffic management and obtain a sufficient economic effect. The regularities of the movement of dense traffic flows of high specific intensity on short hauls, typical for the central parts of cities, have been investigated. Value/originality. According to experimental results there were obtained approximating models of parameters of the logarithmic normal probabilistic law of time intervals distribution in dense traffic flows, the specific intensity of which exceeds 600 vph; the changes in basic characteristics of the vehicles group in the traffic flow when driving through the road crossing taking into account its intensity and the distance from the group forming object are determined.

scholarly journals MODELING AND SIMULATION OF TRAFFIC FLOWS ON INCLINED ROAD DURING EVACUATION PROCESS OF THE VOLCANO DISASTER WITH FINITE DIFFERENCE METHOD

2017 ◽  
Vol 17 (1) ◽  
pp. 8
Author(s):  
Richasanty Septima S ◽  
Said Munzir ◽  
Salmawaty Salmawaty
Keyword(s):  
Finite Difference ◽  
Finite Difference Method ◽  
Traffic Flow ◽  
Difference Method ◽  
Upwind Scheme ◽  
Vehicle Speed ◽  
Traffic Flows ◽  
The Road ◽  
Vehicle Density ◽  
Forward Difference

The research in this thesis was done to examine the model of traffic flow of volcanic disaster evacuation path for uphill and downhill roads. The assessment was focused on the area of disaster evacuation path from the Pante Raya Bener Meriah intersection to Takengon. This model is assessed for two different types of time when which a disaster occurs; the disaster occurred at night and the disaster occurred during the day, especially during peak hours (working hours). The model was developed with attention to the exixtence of inflow and outflow along the evacuation route. Furthermore, the model obtained is solved numerically by using finite difference method. The chosen approach of this method is upwind scheme with time and space steps using forward difference and backward difference. The solution of this model in the form of simulated vehicle density along evacuation pathways. The research conducted is in the form of a model of traffic flow on evacuation paths and restricted to the inflow and outflow without alternative path as well as the conditions of the road which are uphill and downhill, showed a high density of vehicles either at night or during the day. Uphill road conditions resulted in decreased vehicle speed and vehicle density will increase, while downhill road conditions resulted in increased vehicle speed and vehicle density will decrease, meaning that the road conditions which are uphill and downhill will greatly affect the process of evacuation. Degree vehicles of evacuation efficiency occuring at night without an alternative pathway produces a high efficiency so that it can be interpreted that the evacuation process in the evening was successful and runs better than the evacuation process during the day, and this is caused by the existence of vehicles on the road  evacuation process started thus affecting the efficiency levels. Keywords : Traffic flows, finite difference method, upwind scheme method, forward difference, backward difference, greenshield method, uphill road, downhill road.

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