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.

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.

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.

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.

Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches

2003 ◽  
Vol 1857 (1) ◽  
pp. 74-84 ◽  
Author(s):  
Yiannis Kamarianakis ◽  
Poulicos Prastacos
Keyword(s):  
Traffic Flow ◽  
Moving Average ◽  
Data Sets ◽  
Neighborhood Structure ◽  
Urban Network ◽  
Vector Autoregressive ◽  
The Road ◽  
Loop Detectors ◽  
Forecasting Performance ◽  
Short Term Forecasting

Several univariate and multivariate models have been proposed for performing short-term forecasting of traffic flow. Two different univariate [historical average and ARIMA (autoregressive integrated moving average)] and two multivariate [VARMA (vector autoregressive moving average) and STARIMA (space–time ARIMA)] models are presented and discussed. A comparison of the forecasting performance of these four models is undertaken with data sets from 25 loop detectors located in major arterials in the city of Athens, Greece. The variable under study is the relative velocity, which is the traffic volume divided by the road occupancy. Although the specification of the network’s neighborhood structure for the STARIMA model was relatively simple and can be further refined, the results obtained indicate a comparable forecasting performance for the ARIMA, VARMA, and STARIMA models. The historical average model could not cope with the variability of the data sets at hand.

scholarly journals Analisis Kinerja Bundaran Leuwigajah Kota Cimahi. (Hal. 50-60)

2019 ◽  
Vol 5 (2) ◽  
pp. 50
Author(s):  
Andika Diarsa Putra ◽  
Oka Purwanti
Keyword(s):  
Traffic Flow ◽  
Lower Limit ◽  
Degree Of Saturation ◽  
Traffic Flows ◽  
Current Increase ◽  
Upper Limit ◽  
Maximum Current ◽  
The City

ABSTRAKBundaran Leuwigajah merupakan salah satu bundaran penting di Kota Cimahi yang tepatnya terletak di Cimahi Selatan. Bundaran Leuwigajah melayani arus lalu lintas dari berbagai arah, yaitu arus lalu lintas yang berasal dari Jl. Leuwigajah, Jl. Baros dan Jl. Kerkof. Tujuan dari penelitian ini adalah menganalisis kinerja persimpangan dengan pengendalian bundaran yaitu kapasitas, derajat kejenuhan, tundaan dan peluang antrian. Selain itu, penelitian ini bertujuan menganalisis pengaruh arus lalu lintas terhadap kinerja bundaran. Hasil penelitian pada pagi pukul 08:30 – 09:30 menghasilkan kapasitas ( ) terbesar pada Jl. Leuwigajah – Jl. Kerkof dengan nilai 3715 smp/jam, Derajat kejenuhan ( ) bundaran adalah 0,54 dan tundaan bundaran (DR) adalah 6,7 det/smp. Peluang antrian bundaran mempunyai batas bawah 6,8% dan batas atas 15,8%. Berdasarkan hasil perhitungan, kinerja Bundaran Leuwigajah masih memenuhi persyaratan MKJI 1997 dengan catatan hanya pada jam 08:30 – 09:30. Setelah dilakukan skenario peningkatan arus lalu lintas, bundaran masih memenuhi persyaratan dengan kondisi peningkatan arus maksimum 40% dari kondisi eksisting karena menghasilkan nilai DS 0,75.Kata Kunci: Bundaran, Jalinan, MKJI 1997, Leuwigajah ABSTRACTLeuwigajah Roundabout is one of the most important roundabouts in the city of Cimahi precisely located in South Cimahi. Leuwigajah Roundabout serves traffic flows from various directions, namely the flow of traffic coming from Leuwigajah St., Baros St., and Kerkof St. The purpose of this research is to analyze the performance of intersections with roundabout control, namely capacity, degree of saturation, delay and the queue opportunities. The results of the research at 8:30 - 9:30 a.m. produced the largest capacity on Jl. Leuwigajah - Jl. Kerkof C = 3715 pcu/hour, roundabout degree of saturation DS = 0.54 ; and roundabout delay DR = 6.7 sec/pcu. Opportunities for roundabout queues have a lower limit of 6,8% and an upper limit of 15.8%. Based on the results of calculations, the performance of the Leuwigajah Roundabout still meets the requirements of IHCM 1997 with a note only at 08:30 - 09:30. After increasing traffic flow scenario, roundabout still meets the requirements with a maximum current increase of 40% from the existing condition because it produces DS value 0.75.Keywords: Roundabout, Weaving, IHCM 1997, Leuwigajah

ENSURING THE PEDESTRIAN’S SAFETY DESIGN OF URBAN STREET CROSSWALKS

2019 ◽  
pp. 103-110
Author(s):  
Dmitriy Nemchinov
Keyword(s):  
Traffic Flow ◽  
Minimum Distance ◽  
Travel Speed ◽  
Vehicle Speed ◽  
Urban Street ◽  
Safety Design ◽  
Positive Practices ◽  
Time Required ◽  
Pedestrian Crossing ◽  
The City

The article presents an analysis of positive practices for ensuring the safety of pedestrians at the inter-section of the city streets carriageway, as well as a description of some innovations of regulatory and tech-nical documents, including an increased number of cases when a safety island can be arranged at a pedestri-an crossing. requirements for providing visibility at a pedestrian crossing to determine the minimum distance of visibility at a pedestrian crossing based on the time required pedestrians for crossing the roadway, recommended options for using ground unregulated pedestrian crossings on trapezoidal artificial irregularities according to GOST R 52605; traffic flow) and Z-shaped (also in the direction of the traffic flow), the requirements for the size of the securi-ty island have been established to allow put bicycle inside of safety island, a recommended set of measures to reduce the vehicle speed and describes the types of activities and describes a method of their application, describes methods zones device with reduced travel speed - residential and school zones, set requirements for turboroundabouts and methods of their design.

Traffic Flow Data Collection and Signal Control System Based on Internet of Things and Cloud Computing

2013 ◽  
Vol 846-847 ◽  
pp. 1608-1611 ◽  
Author(s):  
Hui Jie Ding
Keyword(s):  
Cloud Computing ◽  
Control System ◽  
Data Collection ◽  
Internet Of Things ◽  
Traffic Flow ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Flow Data ◽  
Traffic Jam ◽  
Sensing Data

As more and more cars are in service, the traffic jam becomes a serious problem in our society. At the same time, more and more sensors make the cars more and more intelligent, and this promotes the development of Internet of things. Real time monitoring the cars will produce massive sensing data, the Cloud computing gives us a good manner to solve this problem. In this paper, we propose a traffic flow data collection and traffic signal control system based on Internet of things and the Cloud computing. The proposed system contains two main parts, sensing data collection and traffic status control subsystem.

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