High Traffic Intensity Research Articles

Synthesis of the system for controlling the distance between vehicles

Problem. In conditions of high traffic intensity, it often happens that shortly after turning on the car's speed control mode, the driver has to brake in order to maintain a distance from other road users moving at variable speeds. The work analyzed the remote control system, considered the remote control system and car control, considered the sensors of the automatic control system, selected the control law, analyzed the control object, the structural diagram of the distance. A control system was developed and the transfer coefficient of the control law was determined. Goal. As a result of the analysis, the goal of the study was highlighted: to conduct a synthesis of the remote control system. Methodology. The main method of solving this problem is the study of the differential equations of the control system and the selection of optimal controller parameters that ensure the necessary quality of the transition process. Results. The result of the study is: a two-circuit distance control system, containing the circuits for regulating the engine rotation speed and the distance to the car driving ahead which meets the requirements of the task, if the P-regulator is used in the speed control circuit, and a PD-regulator is used in the remote control circuit. Originality. The originality lies in the fact that the introduction of the distance maintenance function into the car's speed control system contributes to a comfortable ride and reduces the likelihood of a stressful situation. Practical value. The use of the proposed results indicate the possibility of developing an automatic distance control system with specified quality parameters.

COMPUTER SIMULATION MODEL OF A COMPUTER NETWORK WITH FRACTAL TRAFFIC FOR TESTING ROUTING ALGORITHMS


 
 
 The object of research in this article is simulation modeling of a computer network and the process of traffic routing. The relevance of the research is due to the importance of ensuring the quality of service in computer networks, in particular, by necessity reducing the number of lost IP-packets at high traffic intensity values. Determining the routing of traffic packets is a complex process and is based on various indicators or combinations of indicators. If the routing process takes place in a dynamic mode, then the complexity of the route calculation increases, in this case, one of the tools for research and comparison of different routing algorithms can be a computer simulation model of a computer network. The goal of the work is the development and research of a computer simulation model of a computer network for testing traffic routing algorithms. The tasks: to develop computer simulation model of a computer network to generate the network structure and simulate the traffic distribution process with the ability to test different routing algorithms. Research methods: theory of computer networks, theory of fractal analysis, object-oriented programming, theory of algorithms and data structures, theory of complex networks, theory of Markov processes. Conclusions. The paper investigated the basic principles of traffic routing in computer networks. A simulation model of a computer network for testing traffic routing algorithms has been developed. A method based on the theory of complex networks has been developed to generate the structure of a computer network. Theory of fractal analysis and Markov processes are used for traffic generation. A series of experiments was conducted on a developed model to determine how different fractal dimensions of traffic at high traffic intensity values affect the number of lost packets, and therefore the quality of service. Analyzing the results of the experiment, the following conclusions can be drawn: the least number of lost packets occurs when the process is random or has weak trends. The fewest lost packets were at fractal dimension 1.5, i.e., when the process is completely random, there were also few lost packets at fractal dimensions close to this; persistent and anti-persistent processes (those with memory) cause more packet loss for the same traffic intensity and maximum number of packets sent from one device per unit of time. Moreover, anti-persistent processes cause significantly more losses than persistent ones. Thus, when performing traffic routing and finding optimal paths for sending IP-packets, it can be useful to determine and take into account the fractal dimension of traffic at the entrance of each router and use it when calculating metrics to determine the best routes.
 
 

Optimisation of Queueing Efficiency and Performance of Nigeria Commercial Banks

The objective of this research is to carry out an optimisation of the comparative analysis of the queuing efficiency of commercial banks using the TORA Optimisation Approach. Based on a sample size of four commercial banks of the top two performing banks and least two performing banks in Lagos State Nigeria, the research adopted the output from the Tora Optimisation Software to show the performance of each of the banks based on queuing efficiency. The variables measured include arrival rate ( λ ) and service rate ( µ ). They were analysed for synchronised efficiency in customer satisfaction as relating to the queuing efficiency of each of the banks which were compared among commercial banks using number of queuing efficiency performances such as; the average number of customers on queue and in the system, average time each customer spends on queue and in the system and the probability of the system being idle. The results showed that Bank A had the highest traffic intensity with its customer arrival rate not being matched with faster service delivery rate by bank officials. Banks peak period with high influx of customers was 10:30 to 11:30am and between 12:30pm to 1:30pm daily is off peak period. The research made recommendation on how the queuing efficiency of each banks, can be improved upon due to its concern to most customers. Keywords: Queuing Efficiency, Peak period, Traffic Intensity, Queuing system, Arrival Rate, Service Rate

Assessment of metal (Fe, Pb and Cd) pollution of surface runoff of the high traffic intensity regions in city of Malayer, Iran

Assessment of metal (Fe, Pb and Cd) pollution of surface runoff of the high traffic intensity regions in city of Malayer, Iran

Polycyclic Aromatic Hydrocarbons in Araucaria heterophylla Needles in Urban Areas: Evaluation of Sources and Road Characteristics.

Araucaria heterophylla needles were collected in urban areas of the city of Quito, Ecuador, to analyze the relationship between the concentration of polycyclic aromatic hydrocarbons (PAHs) with different emission sources and road characteristics. The PAHs were analyzed by high-performance liquid chromatography (HPLC) and included naphthalene (Naph), benzo[a]anthracene (BaA), chrysene (Chry), and benzo[a]pyrene (BaP), which are related to the sources considered in this work. The results indicated that some streets with moderate and low traffic intensity had higher total concentrations of PAHs than streets with high traffic intensity, showing the importance of non-traffic related emission sources and road characteristics on PAH emissions. All the studied PAHs were associated with traffic emissions, although Naph and BaP were more associated with acceleration and braking activities, while BaA and Chry also seemed to come from restaurant emissions. The presence of gas stations was also important in the emission of PAHs. Road capacity seems to have a higher effect on pollutant emission than road gradient and urban forms. The outcomes of this study are expected to facilitate the diagnostics of the concentration of PAHs in urban areas, which contribute to the design of strategies for the mitigation of pollution by PAHs in urban environment.

A PH i /PH i , n / C / C Queuing Model in Randomly Changing Environments for Traffic Circulation Systems

Robust optimal design of circulation systems (e.g., roads for vehicles or corridors for pedestrians) relies on an accurate steady-state traffic flow model that considers the effect of randomly changing environmental factors (e.g., daily periodicity and weather). Most analytical models assume that the customer interarrival time and service time of circulation facilities follow the exponential distribution with fixed rate parameters, which is unrealistic in most cases. In this paper, we develop a stationary PH i /PH i , n / C / C state-dependent queuing model in a randomly changing environment (RE), which is represented by a Markov chain. The model simultaneously considers the general randomness of arrival and service, the randomly varying rate parameters, and the state-dependent service (the travel time increases with the number of customers). The existing matrix analytic scheme (MAS) algorithm is extended to solve the proposed model because it avoids the explicit calculation of probability distributions. The space complexity of the algorithm is only linear in the number of RE states and is independent of the enormous (four-dimensional) state space of the Markov process. Its time complexity is a linear function of the product of the queue capacity and the number of RE states. Our model is validated versus simulation estimates. The obtained conditional performance measures can accurately capture the queue accumulation and dissipation and reveal the effect of randomly changing environments. Numerical experiments provide some interesting findings. (1) The proposed stationary model coincides with the transient M( t )/G x / C / C fluid queuing model under special conditions. (2) Under high traffic intensities, increasing the randomness in the duration time of the RE state leads to an obvious growth in the conditional queue length. (3) An increase in the facility length leads to an increase or a decrease in the average output rate, depending on whether the congestion dissipates effectively in one cycle. (4) A larger width is required to obtain the maximum average output rate for traffic demand with a greater nonuniformity.

PM2.5 exposure differences between children and adults

Heights of children and adults vary substantially and may cause different exposure to PM2.5 particles. We measured pedestrian PM2.5 exposure by foot following a 5.5 km route along kindergartens and schools in Mainz (Germany). Measurements were conducted in November 2019 on eight consecutive days at two heights, the potential breathing heights of adults in 1.6 and children in 1.0 m using Alphasense OPC-N3 low-cost sensors. We found that regardless of height level, persisting calm weather conditions including low wind speeds <1.0 m/s and lack of precipitation lead to increased PM2.5 exposure exceeding 67.8 μg/m3. Comparing the height levels revealed that the children were exposed to >20% higher concentrations on six days (p < 0.01), on a single day this difference exceeded 80% (24.7 μg/m3). Differences generally increased with increasing PM2.5 concentrations, though the latter are largely independent of the position along the route but varied strongly among days. These findings are supported by a microclimate simulation including traffic exhaust emissions revealing strongest height differences nearby streets with high traffic intensities. Our results demonstrate that children are exposed to considerably higher levels of PM2.5 that are typically not observed in the stationary networks recording aerosols on only one level.

Photoelectric and diffusion charging measurements of fine particulate air pollution along the main roads of the city of Madrid from 1999 to 2021

In this work, the evolution of the fine particulate air pollution (of size below one μm) produced by the vehicles when driving along several roads of Madrid is studied. Measurements were taken with portable near real-time sensors of Diffusion Charging (DC) and Photoelectric Charging (PC) while driving along the roads. The obtained measurement profiles basically consist of spikes when measuring in the exhaust plumes of preceding vehicles and a background level of mixed aged exhaust that forms when high traffic intensity exist. The DC sensor measures air concentration of the particles Total Active Surface (TAS) and the PC sensor was calibrated to measure the air concentration of Particle bound Polycyclic Aromatic Hydrocarbons (PPAH). The amount of adsorbed PAH per active surface (the PC/DC ratio) is a measure of particles toxicity. Both sensors are sensible to ultra-fine particles of size below 0.1 μm. The measured median values of DC and PC, for the years 1999, 2001, 2005, 2006, 2016, 2017, 2020 and 2021, are plotted as well as their median PC/DC ratio. Examples of measurement profiles are also shown including measurements during COVID-19 driving restrictions. During these restrictions, we could conclude that our measured particulate air pollution of fine and ultrafine particles is caused by “polluting-vehicles” still coexisting in the vehicle fleet of Madrid, which do not fulfill the latest Euro standard because they are too old or have no/malfunctioning catalytic converter and/or diesel particle filter (DPF). The changes of the measured median of the DC and PC values are discussed based on already known results of implemented vehicle technologies for reducing emissions, the evolution of the vehicle fleet fulfilling the increasingly demanding Euro standards, the traffic count, the PC and DC working principles, the evolution of the exhaust emission when exiting the pipe, and on the sulfur content reductions in diesel. The main factors that allowed the large reduction of the median values of both DC and PC (from 1167 ± 57 mm2/m3 and 990 ± 54 ng/m3 in 1999 to 263 ± 14 mm2/m3 and 124 ± 7 ng/m3 in 2021 respectively) as well as the changes in the PC/DC ratio was, according to our findings, the diesel sulfur content reduction and the implementation of the Diesel Oxidation Catalysis (DOC) and the DPF.

Simulating the spread and establishment of alien species along aquatic and terrestrial transport networks: A multi‐pathway and high‐resolution approach

Abstract The introduction and further spread of many alien species have been a result of trade and transport. Consequently, alien species are often found close to traffic infrastructure and urban areas. To contain and manage the spread of alien species, it is essential to identify and predict major routes of spread, which cannot be obtained by applying common modelling approaches such as species distribution models. Here, we present a new model called CASPIAN to simulate the dispersal of alien species along traffic infrastructure and the establishment of populations along these routes. The model simulates simultaneous spread of species of up to eight different modes of transport along roads, railways and waterways. We calibrated and validated the model using two species that spread within Germany as case studies: the terrestrial plant Senecio inaequidens and the freshwater clam Corbicula fluminea, and performed a shortest path analysis to quantify the relative importance of individual routes for spread. The application of the model yielded detailed predictions of dispersal and establishment for &gt;600,000 segments of the traffic network throughout Germany. Once calibrated, the model captured the general spread dynamics of the two species with higher accuracy for the freshwater environment due to the higher quality of data available for the aquatic species. The quantification of spread routes using the shortest path analysis revealed a clear backbone of major routes of spread, which varied depending on the type of traffic network and the starting points considered. Major routes of spread aligned with high traffic intensities, but high traffic per se did not necessarily result in high spread intensities. Synthesis and application. By simulating the spreading dynamics of alien species along transport networks across multiple pathways, CASPIAN enables the identification of major spread routes along different dispersal pathways and quantification of their relative importance, which helps prioritising pathways of introduction as required by international biodiversity goals such as the CBD Aichi targets.

Seasonal Changes in Urban PM2.5 Hotspots and Sources from Low-Cost Sensors

PM2.5 concentrations in urban areas are highly variable, both spatially and seasonally. To assess these patterns and the underlying sources, we conducted PM2.5 exposure measurements at the adult breath level (1.6 m) along three ~5 km routes in urban districts of Mainz (Germany) using portable low-cost Alphasense OPC-N3 sensors. The survey took place on five consecutive days including four runs each day (38 in total) in September 2020 and March 2021. While the between-sensor accuracy was tested to be good (R² = 0.98), the recorded PM2.5 values underestimated the official measurement station data by up to 25 µg/m3. The collected data showed no consistent PM2.5 hotspots between September and March. Whereas during the fall, the pedestrian and park areas appeared as hotspots in &gt;60% of the runs, construction sites and a bridge with high traffic intensity stuck out in spring. We considered PM2.5/PM10 ratios to assign anthropogenic emission sources with high apportionment of PM2.5 in PM10 (&gt;0.6), except for the parks (0.24) where fine particles likely originated from unpaved surfaces. The spatial PM2.5 apportionment in PM10 increased from September (0.56) to March (0.76) because of a pronounced cooler thermal inversion accumulating fine particles near ground. Our results showed that highly resolved low-cost measurements can help to identify PM2.5 hotspots and be used to differentiate types of particle sources via PM2.5/PM10 ratios.

Study on Properties of Bituminus Mix Using the Combination of Shredded Plastic combined with Chemical Additives

Abstract: The design of a satisfactory bituminous mix is a complex task due to the wide variation in properties of its constituents such as bitumen, coarse and fine aggregate, filler, etc. The design also depends on the shape and gradation of the aggregates. Flexible pavement with bituminous surfacing is commonly used in Indian highways. Distress symptoms, such as cracking, rutting, etc., are increasingly caused earlier by high traffic intensity, over loading of vehicles and significant variations in daily and seasonal temperature of the pavement. Investigations have revealed that Plastic and sulphur modifier can be used to improve properties of bitumen and bituminous mixes to make it more suitable for road construction. The present investigation comprises of determining the Marshall test properties of Dense Bitumen macadam Using VG-30 grade penetration grade bitumen modified with Sulphur as Modifier. The study helps to ascertain the suitability of Sulphur as modifier which could minimize the consumption of VG-30 grade bitumen. Also there is considerable amount of savings in bitumen cost. Keywords: Dense Bitumen macadam, combined index, Marshall Stability test, Sulfur, plastic.

Deep Graph Reinforcement Learning Based Intelligent Traffic Routing Control for Software-Defined Wireless Sensor Networks

Software-defined wireless sensor networks (SDWSN), where the data and control planes are decoupled, are more suited to handling big sensor data and effectively monitoring dynamic environments and events. To overcome the limitations of using static routing tables under high traffic intensity, such as network congestion, high packet loss rate, low throughput, etc., it is critical to design intelligent traffic routing control for the SDWSNs. In this paper we propose a deep graph reinforcement learning (DGRL) model-based intelligent traffic control scheme for SDWSNs, which combines graph convolution with deterministic policy gradient. The model fits well for the task of intelligent routing control for the SDWSN, as the process of data forwarding can be regarded as the sampling of continuous action space and the traffic data has strong graph features. The intelligent control policies are made by the SDWSN controller and implemented at the sensor nodes to optimize the data forwarding process. Simulation experiments performed on the Omnet++ platform show that, compared with the existing traffic routing algorithms for SDWSNs, the proposed intelligent routing control method can effectively reduce packet transmission delay, increase packet delivery ratio, and reduce the probability of network congestion.

Dynamic incentive schemes for managing dockless bike-sharing systems

Balancing supply and demand for a dockless bike-sharing system is difficult as users are allowed to pick up and return bikes anywhere within a large service area. One strategy to help manage the amount of dockless bikes scattered within a service area is to offer monetary rewards for users who would be willing to pick up bikes scattered around some central location or to return their bikes at this central location. We develop a modeling framework to analyze the effectiveness of using dynamic incentive schemes for balancing the amount of bikes in the system to minimize the expected operating cost. Using an extensive set of numerical experiments, we illustrate specific operation environments under which these dynamic incentive schemes would be most effective for reducing the operating cost of the system. We find that the use of dynamic pickup and return rewards can generate very substantial cost reductions in an operating environment with a high traffic intensity of bike return outside the central location and a high overall traffic intensity of bike returns relative to bike pickups in the system. We also find that return rewards are generally more cost-effective than pickup rewards.

PERFORMANCE OF THREE ARMS SIGNALIZED INTERSECTION AT SALABENDA IN BOGOR REGENCY

&lt;p&gt;The increase in urban transportation in the 2000s era was very high. The use of motorized vehicles during the pandemic has decreased slightly with the government's ban on traveling out of town, including the 2020 homecoming and 2021 homecoming. Most people who travel are in the city center, including the city of Bogor and Bogor district. The travel patterns are very diverse, but most use public transportation and private transportation in addition to freight transportation with a fairly high intensity, especially at night. The purpose of this study was to obtain the LoS value at the signalized intersection of the three arms of the Salabenda intersection. The three-arm Salabenda intersection is the border between Bogor regency and the city of Bogor, so this intersection is one of the busiest and most densely populated intersections beside the Ciawi intersection in the north. The Salabenda intersection has become more congested with the opening of the Section IIIA Toll Road so that the traffic load shifts from Jl. KH. Sholeh Iskandar to this toll road, so that the intersection will have a higher traffic intensity. From the three observations and data collection in the field, it can be seen that in the afternoon it has a very high LoS, namely E. Followed by a LoS D level in the afternoon and in the morning LoS is still in the form of C. So it is still safe to use in the morning with a recommended level. The LoS E condition is a condition where the intersection has a degree of saturation of 0.926, which is almost close to 1, exacerbated by high side resistance activity.&lt;/p&gt;

On the application of an automated train traffic control complex under high traffic intensity

On the application of an automated train traffic control complex under high traffic intensity

Решение транспортной задачи с использованием алгоритма Дейкстры для грузовых перевозок

For the development of the road transportation process organization sector, it is necessary to solve the problems of finding the shortest path using Dijkstra’s algorithm. Meeting the needs of the population with high-quality services provided by the transport complex is possible due to the formation of a technically, technologically and economically balanced transport complex with the use of new methods and tools for optimizing the transport system. The relevance of the article lies in the fact that the problem of efficiency of the transport network functioning with finding the shortest distances is of complex character. High traffic intensity, lack of reserves for full loading of the road transport network (RTN), not optimally calculated transport network automatically lead to low system performance. The problems and prospects of organizing the work of the transport system in the context of introduction of modern geoinformation technologies and definition of improvement of the most significant areas in the organization of the transportation process are the purpose of this article. The system is based on Dijkstra’s algorithm, which allows to search for the shor-test path with minimal costs and ensure the increase in the transport network efficiency. The stated goals are planned to be achieved by providing new software implementation, where a four-layer data collection system is proposed, as well as a graph calculation in the freight transport network is developed and implemented.

Experimental study on bituminous concrete pavement using low density polyethylene and sasobit

Since there is a constant increase in high traffic intensity, Bituminous Pavements are predicted to function better these days. Bituminous Pavements perform poorly in moisture-induced conditions. Moisture damage causes stripping or the separation of the binder from the aggregates. According to a thorough literature analysis, adding polymers to asphalt binders helps to enhance the bond between the aggregate and the binder, which may help to improve numerous features of asphalt pavements and aid to meet the aforementioned standards. The widespread usage of plastic in products such as wrappers, carry bags, and cold drink bottles has serious environmental and economic consequences. The safe disposal of these plastic wastes is a major social concern. Also, high temperature mixing of bituminous materials in Hot Mix Plants (HMA) generates toxic gases, affects global warming and reduces the hauling distance of the asphalt concrete pavements. The present study was conducted to investigate the impact of partial replacement of Low-Density Polyethylene (LDPE) waste in bituminous mixes at four different percentages of bitumen contents 4.2%, 4.7%, 5.2% and 5.7%. Furthermore, Sasobit an organic additive of Warm Mix Asphalt Technology at constant percentage of 3% by weight of bitumen was also used with Varying percentages of LDPE, such as 2%, 4% and 6% respectively. This Study examined the effect of above-mentioned types of mixes on Marshall Properties. The inculsion of plastic increased the stability of the mixes. The maximum stability achieved with 4% plastic and 3% sasobit. The addition of sasobit lowers the Tensile Strength Ratio (TSR) value but well under specified limits. Hence, Low-Density Polyethylene with sasobit can be well utilized in bituminous mixes.

Quantifying the Impact of Traffic on Electric Vehicle Efficiency

While the influence of several factors on battery electric vehicle (BEV) efficiency has been investigated in the past, their impact on traffic is not yet fully understood, especially when driving in a natural environment. This paper investigates the influence of driving in intense traffic conditions while considering the ambient temperature and driving behavior on BEV energy efficiency in a field study. A total of 30 BEV inexperienced drivers test drove a 2017 Volkswagen eGolf on a route with various road types in two different traffic intensity scenarios: During morning commute hours with higher traffic congestion and lower congestion hours throughout the middle of the day. Results support the hypothesis that traffic conditions significantly impact the vehicle’s efficiency, with additional consumption of approximately 4–5% in the high traffic scenario. By creating and comparing driving in traffic to an underlying base case scenario, the additional range potential by avoiding traffic for this particular vehicle can be quantified as up to seven miles. New patterns of BEV efficiencies emerged, which can help stakeholders understand how eco-driving can be strategically improved by selecting trip times and routes that avoid high traffic intensity.

Анализ эффективности способов приоритета автобусам при проезде перекрестков с применением адаптивного управления светофорами

In recent years in the cities of the Russian Federation, within the framework of the national project “Safe and high-quality roads” the concept of “priority development of public transport” has been actively implemented and Intelligent transport systems have been created. The article discusses ways to prioritize public transport when passing through intersections using adaptive traffic light control as a possible alternative to a lane for route vehicles. The aim of the study is to reduce the loss of time for road users by determining the best ways to prioritize buses when passing regulated intersections, taking into account the number of passengers in public transport and the loss of time for all traffic participants. During the study, field observation methods, mathematical and simulation modeling were used. The account of the moments of the approach of buses to the regulated intersection and the analysis of the loss of time for buses when passing through the section on the central street of Tyumen was carried out. The scientific novelty lies in establishing the dependencies of the average speed of the bus on the approach to the intersection from the moment until the end of the traffic signal, the delay time of the buses on the number and moment of stopping the buses when passing the intersection. With the help of simulation micromodeling, the dependence of the delay time of buses and cars on traffic intensity was established for five options for priority to public transport. Two variants of priority for buses when passing through intersections are based on the methods of adaptive control of traffic lights and the algorithms “stage recall” and “green extension”. The use of a dedicated lane and the “stage recall” method at high traffic intensity reduces the delay time for buses by 94%, for personal vehicles – increases by 85%. At low traffic intensity, the delay time changes by 11 and 6%, respectively, for buses and cars. The use of the “green extension” method allows to reduce the total delay time by 3.2% with a high traffic volume (1900 veh/h) and a small number of buses (40 veh/h) and has a greater effect than the lane for fixed-route vehicles (deterioration by 148%). To determine the most efficient priority method, it is proposed to take into account the number of passengers in public transport. The dependence of the total delay time of all traffic participants on the traffic intensity of cars and buses with different priority methods has been established. This approach allows us to further determine the area of rational application of priority methods for public transport with the target function of reducing the loss of time for all traffic participants.

Применение показателя Хёрста для исследования интенсивности транспортного потока

Abstract. The relevance of the work is due to the predictive properties of the Hurst indicator (index), which make it possible to identify the presence/absence of a trend in the observed stochastic process, which it is advisable to use when regulating and controlling traffic to reduce congestion, traffic accidents based on processing information about traffic flows coming from stationary video recording complexes of traffic violations. The object of investigation is a section of road with intensive one-way traffic, equipped with a software and hardware complex that allows measuring the characteristics of the flow of motor transport. 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 identify the patterns of evolution of the indicators included in the Hurst index, based on the processing of time series of the intensity of motor transport traffic on the road network. As a theoretical and methodological approach, the rescaled range analysis, or the definition of Hurst exponent, is used. The approach developed by the authors allowed us to establish the regularities of the evolution of mean values, standard deviations, accumulated and rescaled range, Hearst exponents, which is the scientific novelty of the performed analysis. Data processing of video surveillance software and hardware complexes made it possible to construct time-dependent indicators of the intensity of car traffic on a road with a consistently high flow of vehicles connecting the central and remote areas of the city of Perm, at various intervals of averaging by days of the week. As a result of the study of time series, dependences on the time of average values, standard deviations, accumulated and rescaled ranges, Hearst exponents were obtained. It is shown that the found characteristics of the traffic flow intensity on a road with a high traffic intensity differ significantly from similar characteristics obtained earlier for roads with a relatively low intensity. The practical significance lies in the use of predictive properties of the Hurst indicator in analyzing the intensity of the flow of vehicles for predicting the movement of vehicles, controlling the operation of traffic lights, monitoring the operation of equipment, etc. The direction of further research is to obtain, process and determine rescaled ranges and Hurst exponents for time series of traffic flow intensity on other sections of the road network.