scholarly journals SELECTED ISSUES IN MODELLING OF TRAFFIC FLOWS IN CONGESTED URBAN

2014 ◽  
Vol 29 (1) ◽  
pp. 77-89 ◽  
Author(s):  
Renata Żochowska
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Transportation Network ◽  
Traffic Flows ◽  
Traffic Shaping ◽  
Dynamic Traffic ◽  
Urban Network ◽  
Traffic Models ◽  
The Subject ◽  
The City

Making rational decisions about the planning and designing the traffic management in the city requires a proper description of traffic flows following through the various elements of the transportation network. This issue is the subject of many studies, resulting in a wide variety of models used in this field. Generally they can be divided into two main groups: models describing the distribution of traffic flows in the transportation network and models describing the transition of traffic flow by individual elements of the transportation network. This article reviews the models used to describe the traffic shaping in such an arrangement. Then the way of describing traffic flows, which may be used in the construction and calibration of dynamic traffic models has been formalized. The article also includes a calculation example with application of the proposed description of the components of traffic flows on the link of urban network.

Modeling Traffic Volatility Dynamics in an Urban Network

2005 ◽  
Vol 1923 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Yiannis Kamarianakis ◽  
Angelos Kanas ◽  
Poulicos Prastacos
Keyword(s):  
Traffic Flow ◽  
Model Building ◽  
Time Series Models ◽  
Traffic Flows ◽  
Flow Data ◽  
Coefficient Estimates ◽  
Urban Network ◽  
Loop Detectors ◽  
The City ◽  
Autoregressive Conditional Heteroscedasticity

This article discusses the application of generalized autoregressive conditional heteroscedasticity (GARCH) time series models for representing the dynamics of traffic flow volatility. The methods encountered in the literature focus on the levels of traffic flows and assume that variance is constant through time. The approach adopted in this paper concentrates primarily on the autoregressive properties of traffic variability, with the aim to provide better confidence intervals for traffic flow forecasts. The model-building procedure is illustrated with 7.5-min average traffic flow data for a set of 11 loop detectors located at major arterials that direct to the center of the city of Athens, Greece. A sensitivity analysis for coefficient estimates is undertaken with respect to both time and space.

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 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 P PEMODELAN ARUS LALU LINTAS DAN WAKTU TUNGGU TOTAL OPTIMAL DI PERSIMPANGAN JL. JEMUR ANDAYANI – AHMAD YANI SEBAGAI UPAYA MENGURAI KEMACETAN

2020 ◽  
Vol 14 (3) ◽  
pp. 389-398
Author(s):  
Yuniar Farida ◽  
Aris Fanani ◽  
Ida Purwanti ◽  
Luluk Wulandari ◽  
Nanida Jenahara Zaen
Keyword(s):  
Traffic Flow ◽  
Waiting Time ◽  
Traffic Management ◽  
Traffic Flows ◽  
Left Turn ◽  
Traffic Performance ◽  
Time Calculation ◽  
High Level ◽  
Signal Time

One crossroad of ​​Surabaya whose high level of congestion is the crossing of Jemur Andayani – Ahmad Yani Street. It needs to Improve traffic management, geometric, and signal time to obtain optimal traffic performance. The purpose of this study is to make a model of traffic flow and determine the optimal total waiting time at the crossing of Jemur Andayani – Ahmad Yani using Compatible Graph. Compatible graphs are two sets where vertices indicate objects to be arranged and edges indicate compatible pairs of objects. Compatible traffic flow is two traffic flows which if both of them run simultaneously can run safely and not collide. The results of the optimal waiting time calculation using a compatible graph assuming the left turn following the lamp is 75 seconds. While the optimal total waiting time by assuming the left turn not following the lights is 60 seconds. The optimal total waiting time is smaller than the actual total waiting time currently applied at Frontage Ahmad Yani street, which is 170 seconds by assuming turn left following the lights.

INVESTIGATION OF ACOUSTIC LOAD FROM TRAFFIC FLOW ON THE EXAMPLE OF THE CITY OF KHMELNYTSKY

2021 ◽  
Vol 2021 (24) ◽  
pp. 183-192
Author(s):  
Anatolii Morozov ◽  
◽  
Nataliia Mironova ◽  
Tetiana Morozova ◽  
Victor Rybak ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Residential Buildings ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Urban Ecosystem ◽  
Reproductive Capacity ◽  
Traffic Flows ◽  
Natural Habitats ◽  
Acoustic Load ◽  
The City

Introduction. Urbanization, intensification of road transport, development of urban infrastructure contributes to increased noise pollution. As traffic flows increase, so do acoustic discomfort zones, and the problem of traffic noise is becoming increasingly environmentally and socially important. Problem statement. The traffic flow significantly exacerbates the environmental problems of cities. One of the most negative factors is the increasing acoustic load. Noise pollution is currently becoming one of the most important environmental stressors. Noise levels depend on the intensity, speed, nature of traffic, type and quality of coverage, land use planning (longitudinal and transverse street profiles, building architecture, traffic lights) and the presence of greenery. Noise leads to an imbalance of auditory adaptation, regulatory processes of the central nervous system, gastrointestinal tract, hemodynamic disorders, the development of noise sickness. At long influence mechanisms of reflex and neurohumoral reactions are broken, there is a nervous pathology, attention decreases by 12-16%. Physiological and biochemical adaptation of a person to noise is impossible, in addition, noise has an inherent consuming effect. Acoustic load has a negative impact on flora and fauna. The main ones are reduced adaptive and reproductive capacity, changes in trophic nets, increased risk of predation, growth retardation, accelerated transpiration, death of leaves and flowers. This problem is most acute for urban ecosystems, as urbanization is one of the main factors in reducing biodiversity due to the loss of natural habitats, their fragmentation or drastic change. In urban conditions, many anthropogenic (industrial, transport noise) is added to the natural noise, which significantly changes the acoustic background. Currently, the noise load in megacities has increased by 12-15 dB, and the volume by three to four times. In cities with heavy traffic, the noise level is approaching 80 dB. Cartographic methods are widely used to visualize and predict noise load. Mapping the noise load of cities is relevant for Ukraine. Currently, acoustic maps have been developed only for certain districts of Kyiv. The creation of acoustic maps will help improve the ecological condition of urban areas. Purpose. Investigate and assess the level of noise load created by traffic flows on the main highways of the city of Khmelnytsky, create an acoustic map and determine the main directions of noise pollution. Research methods. general scientific (generalization, comparison, analysis and synthesis, theoretical and methodological substantiation); mathematical statistics; field (full-scale measurements of noise on the territory); cartographic (construction of a map-scheme) Results. The article highlights the problem of urban ecosystem acoustic load. It is evaluated the noise pollution of Khmelnytskyi city in Ukraine. The noise contamination model is constructed using GIS technologies within modern software package. It is shown that simulation and visualization of noise load using software makes it possible to objectively and detail estimate the acoustic situation and to propose managerial decisions development to protect the population from noise. Conclusion. The intensity of traffic noise depends on the condition and width of roads, the distance of residential buildings from the axis of the roadway. Depending on the capacity of roads, the presence of intersections changes the acoustic load. Reduction of urban traffic noise is associated with absorbing, reflecting, shielding and insulating acoustic ability. Optimization of noise protection of the urban ecosystem depends on a set of architectural and planning solutions. When introducing technical and economic characteristics of noise protection measures, it is necessary to take into account their features (practical limitations and opportunities).

ANALYSIS OF THE INTENSITY AND COMPOSITION OF TRAFFIC FLOWS IN THE CITY CENTER RYAZAN

2016 ◽  
Vol 3 (1) ◽  
pp. 259-263
Author(s):  
Кураксин ◽  
A. Kuraksin ◽  
Шемякин ◽  
A. Shemyakin
Keyword(s):  
Traffic Flow ◽  
Experimental Research ◽  
Traffic Flows ◽  
City Center ◽  
The City

The article presents the description of the experimental research of the intensity of traffic flow, held at the UDS of the city of Ryazan. The paper shows the technique of research of a num-ber of controlled intersections to identify clock irregularities in the intensity of movement when moving along the transport corridor.

scholarly journals Traffic Management Facilities Used at Intersection of Ukmergės and Geležinio Vilko Streets in Vilnius

2013 ◽  
Vol 14 (3) ◽  
pp. 187-195
Author(s):  
Vidmantas Pumputis ◽  
Giedrius Garbinčius ◽  
Valentin Mironov
Keyword(s):  
Experimental Investigation ◽  
Traffic Management ◽  
Traffic Simulation ◽  
Simulation Program ◽  
Traffic Intensity ◽  
Traffic Flows ◽  
Traffic Capacity ◽  
The City ◽  
Main Streets

Vilnius, the capital and the largest city of Lithuania, is faced with serious traffic problems. The main streets of the city are overcrowded with traffic. Therefore, the effective ways to ease the congestion should be sought. The paper considers the problem of high traffic intensity and congestion at the intersection of two busy Vilnius streets. Research is based on the analysis of the data stored at the Vilnius Traffic Management Centre and the information obtained in the experimental investigation of traffic flows. All the collected data have been used in the traffic simulation program, to make some effective measures helping to increase traffic capacity of the considered intersection.

scholarly journals Traffic management of Udayana University Sudirman campus intersection using Vissim software

2019 ◽  
Vol 276 ◽  
pp. 03006
Author(s):  
Putu Alit Suthanaya ◽  
Ngurah Upadiana
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Signal Timing ◽  
Data Traffic ◽  
University Campus ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Traffic Flow Management ◽  
The City

The city of Denpasar is the capital of Bali Province, as well as the centre of various activities including government offices, hospitals, schools/ universities, trade and services, as well as tourism. Traffic congestion in the city of Denpasar is increasing from year to year, especially at the point of the intersection node, such as at the signalised intersection of Udayana University Sudirman Campus. The high trip attraction to Udayana University Campus has exacerbated the congestion of the intersection. The purpose of this study was to examine an alternative to managing the traffic flow using the Vissim software. The required data included the intersection geometric data, traffic volume and signal timing. The calculation of the intersection’s performance was conducted based on the Indonesian Highway Capacity Manual (IHCM). The simulation of the traffic flow management was conducted with the help of the Vissim software. The results of the performance analysis of the intersection conduced using Vissim Software indicated that the application of Vissim software was valid. The traffic management proposed has reduced both queue length and delay time.

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 Study on the Vehicle Linear Dynamic Interval in a Traffic Flow

2021 ◽  
Vol 23 (1) ◽  
pp. E11-E22
Author(s):  
Oleg Fyodorovich Danilov ◽  
Victor Ivanovich Kolesov ◽  
Denis Alexandrovich Sorokin ◽  
Maxim Leonidovich Gulaev
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Road Traffic ◽  
Dynamic Performance ◽  
Model Analysis ◽  
Traffic Flows ◽  
Transportation Industry ◽  
The Road ◽  
Linear Dynamic ◽  
Algorithmic Support

The transportation industry of a modern city involves the effective systems for the road traffic management. To manage any object is impossible without understanding its specifics. The tasks of road traffic management are based on mathematical models of traffic flows. The “following the leader” model based on the linear dynamic interval of vehicles has become widely accepted in the model analysis. The paper discusses the mathematical model of the linear dynamic interval of vehicles; the model is identified structurally and parametrically. Coefficients of the model are analyzed in detail; a generalized assessment of the dynamic performance of the traffic flow, evolved in various road conditions, is given. The study has resulted in the proposed basic models for traffic flows that can be used for algorithmic support of the model analysis of traffic flows and the road traffic management.

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