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Journal articles on the topic 'Traffic characterises'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Yu, Qing, Kezhong Liu, A. P. Teixeira, and C. Guedes Soares. "Assessment of the Influence of Offshore Wind Farms on Ship Traffic Flow Based on AIS Data." Journal of Navigation 73, no. 1 (2019): 131–48. http://dx.doi.org/10.1017/s0373463319000444.

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This paper proposes a framework to assess the influence of Offshore Wind Farms (OWFs) on maritime traffic flow based on raw Automatic Identification System (AIS) data collected before and after the installation of the offshore wind turbines. The framework includes modules for data acquisition, data filtering and statistical analysis. The statistical analysis characterises the influence of an OWF on maritime traffic in terms of minimum passing distances and lateral distribution of the ship trajectories near the OWF. The framework is applied to a specific route for which AIS data is available be

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Chernigovskiy, A. V., M. V. Krivov, and A. L. Istomin. "Investigating Network Traffic and Selecting a Matching Mathematical Model." Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, no. 3 (132) (September 2020): 84–99. http://dx.doi.org/10.18698/0236-3933-2020-3-84-99.

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The investigation aimed to study various network traffic types so as to derive a mathematical description not only for a specific type of traffic, but also for the aggregated network traffic. We characterized the main types of data transmitted during network operation and compared the results with the most common mathematical models, that is, Poisson, Pareto, Weibull, exponential and lognormal distributions. We established that regardless of traffic type the volume distribution of data packets transmitted has a "long tail" and is well described by the lognormal distribution model. We evaluated

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Pérez-Castán, Javier A., Fernando Gómez Comendador, Álvaro Rodríguez-Sanz, Rocío Barragán, and Rosa M. Arnaldo-Valdés. "Design of a conflict-detection air traffic control tool for the implementation of continuous climb operations: A case study at Palma TMA." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 13 (2019): 4839–52. http://dx.doi.org/10.1177/0954410019831198.

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Continuous climb operation is an operational concept that allows airlines to perform an optimal departing trajectory avoiding air traffic control segregation requirements. This concept implies the design and integration of air traffic flows for the sake of safety performance. This paper designs a new conflict-detection air traffic control tool based on the blocking-area concept, characterises the conflict probability between air traffic flows and assesses the impact of continuous climb operation integration in a terminal manoeuvring area. In this paper, a conflict is set out by the infringemen

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Taylor, Aimee R., Diego F. Echeverry, Timothy J. C. Anderson, Daniel E. Neafsey, and Caroline O. Buckee. "Identity-by-descent with uncertainty characterises connectivity of Plasmodium falciparum populations on the Colombian-Pacific coast." PLOS Genetics 16, no. 11 (2020): e1009101. http://dx.doi.org/10.1371/journal.pgen.1009101.

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Characterising connectivity between geographically separated biological populations is a common goal in many fields. Recent approaches to understanding connectivity between malaria parasite populations, with implications for disease control efforts, have used estimates of relatedness based on identity-by-descent (IBD). However, uncertainty around estimated relatedness has not been accounted for. IBD-based relatedness estimates with uncertainty were computed for pairs of monoclonal Plasmodium falciparum samples collected from five cities on the Colombian-Pacific coast where long-term clonal pro

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Ishkov, A. M., A. E. Ivanova, A. L. Boyarshinov, and N. A. Filippova. "Road Safety in the Arctic Zone of the Russian Federation." World of Transport and Transportation 20, no. 5 (2023): 66–75. http://dx.doi.org/10.30932/1992-3252-2022-20-5-8.

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The article deals with the issue of road safety in the Arctic zone of the Russian Federation.The analysis of road traffic accidents over the past 10 years that occurred in the Arctic zone of the Republic of Sakha (Yakutia) was carried out for the first time ever. The study refers to the total number of road traffic accidents, accidents due to the fault of pedestrians, accidents due to the unsatisfied condition of streets and roads, accidents involving children under 16 years of age, accidents involving drivers with signs of alcohol intoxication and accidents committed by drivers without the ri

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Singh Samra, Ravjot, and Marinho Barcellos. "DDoS2Vec: Flow-Level Characterisation of Volumetric DDoS Attacks at Scale." Proceedings of the ACM on Networking 1, CoNEXT3 (2023): 1–25. http://dx.doi.org/10.1145/3629135.

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Volumetric Distributed Denial of Service (DDoS) attacks have been a severe threat to the Internet for more than two decades. Some success in mitigation has been achieved based on numerous defensive techniques created by the research community, implemented by the industry, and deployed by network operators. However, evolution is not a privilege of mitigations, and DDoS attackers have found better strategies and continue to cause harm. A key challenge in winning this race is understanding the various characteristics of DDoS attacks in network traffic at scale and in a realistic manner. In this p

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Jurkowski, Wojciech. "Przewozy pasażerskie w regionalnym systemie transportu kolejowego w województwie dolnośląskim w 2018 r. = Spatial distribution of passenger flows in a regional system of rail transport. A case study involving Poland’s Dolnośląskie Voivodeship." Przegląd Geograficzny 93, no. 4 (2021): 533–53. http://dx.doi.org/10.7163/przg.2021.4.3.

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Poland’s socio-economic transformation brought a rapid increase in motorisation even as public transport underwent regression. This problem was particularly marked in the rail-transport sector, which experienced the largest contraction in the history of railways on Polish territory. However, by the late 2010s and early 2020s, it was possible to note positive change on the country’s rail-services market, mainly due to investment in infrastructure and the emergence of new railway companies. The period in question may thus be seen to mark the beginning of a new stage to the development of rail tr

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Žnidarič, Aleš, and Jan Kalin. "Using bridge weigh-in-motion systems to monitor single-span bridge influence lines." Journal of Civil Structural Health Monitoring 10, no. 5 (2020): 743–56. http://dx.doi.org/10.1007/s13349-020-00407-2.

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Abstract Bridge weigh-in-motion systems use instrumented bridges or culverts to weigh vehicles as they pass over the structures. They also provide data to allow the calculation of several bridge performance indicators. The article starts with the basics of a bridge weigh-in-motion system and briefly describes two key bridge performance indicators, girder distribution factor and dynamic amplification factor, which are also derived from B-WIM measurements. The central part of the article focuses on monitoring of influence lines, the third key parameter that characterises the bridge performance u

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Barrera-Jiménez, Humberto, and Juan Pineda-Jaramillo. "A Framework for Integrating Freight Transport, Urban Land Planning, and Infrastructure Management under Economic Geography Principles." Urban Science 8, no. 2 (2024): 30. http://dx.doi.org/10.3390/urbansci8020030.

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This study presents a conceptual framework proposal for integrating urban freight initiatives (UFIs), or city logistics initiatives, into urban planning and urban management (UPUM) land use and infrastructure systems. As a novel approach, this framework integrates three components: Firstly, a conceptual basis on three economic geography theory principles—location, agglomeration, and urbanisation. Secondly, spatial analysis and subsequent clustering integrate companies’ spatial positions, their proximity to other companies, their freight intensity, and the characteristics of the zonal road infr

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Tian, Wulin, and Carlo Caponecchia. "Using the Functional Resonance Analysis Method (FRAM) in Aviation Safety: A Systematic Review." Journal of Advanced Transportation 2020 (October 20, 2020): 1–14. http://dx.doi.org/10.1155/2020/8898903.

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The functional resonance analysis method (FRAM) is a system-based method to understand highly complex sociotechnical systems. Besides learning from safety occurrences or undesirable states, FRAM can be used to understand how things go well in a system, by identifying gaps between “work as imagined” (WAI) and “work as done” (WAD). FRAM is increasingly used in many domains and can enhance our understanding of a complex system and proposes strategies to refine the work design. This systematic review identified 108 FRAM research papers from 2006–2019. Most of these papers were conducted by Europea

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NÓBREGA ALVES, RÔMULO ROMEU, JOSÉ RIBAMAR DE FARIAS LIMA, and HELDER FARIAS P. ARAUJO. "The live bird trade in Brazil and its conservation implications: an overview." Bird Conservation International 23, no. 1 (2012): 53–65. http://dx.doi.org/10.1017/s095927091200010x.

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SummaryBrazil’s rich biological and cultural diversity makes it an exceptional location for examining the commerce in live wild birds and its implications for conservation. This paper catalogues the live bird species being traded in Brazil, characterises the trade in these animals, and discusses the implications for avian conservation. In spite of being illegal, capturing and selling birds is still a very common practice in Brazil and involves many actors who make up part of a large commercial network that distributes wild animals to every corner of the country. Our survey revealed that at lea

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Yan, Ruoyu. "Combining Renyi Entropy and EWMA to Detect Common Attacks in Network." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 10 (2016): 1650021. http://dx.doi.org/10.1142/s021800141650021x.

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How to timely and precisely identify attack behaviors in network without dealing with a large number of traffic features and historical data, such as training data, is an important research work in the field of network security. In this paper, firstly, the differences between Renyi entropy and Shannon entropy are analyzed and compared. In order to capture network traffic changes exactly, Renyi entropy instead of Shannon entropy is proposed to measure selected traffic features. Then EWMA control chart theory is used to check Renyi entropy time series for detecting and screening anomalies. And t

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Almeida, Ana, Susana Brás, Susana Sargento, and Ilídio Oliveira. "Exploring bus tracking data to characterize urban traffic congestion." Journal of Urban Mobility 4 (December 2023): 100065. http://dx.doi.org/10.1016/j.urbmob.2023.100065.

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Vojdani, Nina. "Real Time Traffic Information from Ferries to Optimise Intermodal Transport Chains." Journal für Mobilität und Verkehr, no. 4 (November 22, 2019): 16–19. http://dx.doi.org/10.34647/jmv.nr4.id27.

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The baltic sea traffics are in particular characterized by ferry and RoRo traffic. Numerous ferry connections link the neighboring countries and thus allow for an exchange of goods. The use of real time information still has untapped potential so that the respective initial and terminal hauls as well as port‐related transshipment processes can be matched to the ferry traffic as a major part of journey in multimodal transport chains. In this way, to provide dispatchers with decision‐relevant real time information enables timely decision‐making, not only with regard to efficient fleet management

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Miele, L. F., G. S. Lee, M. Lin, et al. "QS280. Mesoscopic Traffic Flow Theory Characterizes Microhemodynamics in Chemically-Induced Murine Colitis." Journal of Surgical Research 151, no. 2 (2009): 295. http://dx.doi.org/10.1016/j.jss.2008.11.585.

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Khan, Zawar H., T. Aaron Gulliver, and Khurram S. Khattak. "A Novel Macroscopic Traffic Model based on Distance Headway." Civil Engineering Journal 7 (December 26, 2021): 32–40. http://dx.doi.org/10.28991/cej-sp2021-07-03.

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A new model is proposed to characterize changes in traffic at transitions. These changes are affected by driver response. The distance headway between vehicles is considered as it affects driver behavior. Driver response is quick with a small distance headway and slow when the distance headway is large. The variations in traffic are greater with a slow driver while traffic is smooth with a quick driver. A model is developed which characterizes traffic based on driver response and distance headway. This model is compared with the well-known and widely employed Zhang and PW models. The Zhang mod

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Silveira, P. A. M., A. P. Teixeira, and C. Guedes Soares. "Use of AIS Data to Characterise Marine Traffic Patterns and Ship Collision Risk off the Coast of Portugal." Journal of Navigation 66, no. 6 (2013): 879–98. http://dx.doi.org/10.1017/s0373463313000519.

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This paper studies the risk of ship collision off the coast of Portugal based on Automatic Identification System (AIS) data, which is recorded and maintained by the Portuguese coastal Vessel Traffic Service (VTS) control centre (CCTMC). Computer programs for decoding, visualization and analysis of the AIS data have been developed. From analysis of the AIS data available, maritime traffic off the coast of Portugal is characterized and a statistical analysis of traffic in the Traffic Separation Schemes is provided. An algorithm has been developed to assess the risk profile and the relative impor

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Moraes, Moacir T. de, Henrique Debiasi, Julio C. Franchini, and Vanderlei R. da Silva. "Soil penetration resistance in a rhodic eutrudox affected by machinery traffic and soil water content." Engenharia Agrícola 33, no. 4 (2013): 748–57. http://dx.doi.org/10.1590/s0100-69162013000400014.

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Soil compaction caused by machinery traffic reduces crop yields. This study aimed to evaluate the effects of intensive traffic, and the soil water content, on the soil penetration resistance (PR) of a Rhodic Eutrudox (Distroferric Red Latosol, Brazilian Classification), managed under no-tillage (NT). The experiment consisted of six treatments: NT with recent chiseling, NT without additional compaction, and NT with additional compaction by 4, 8, 10 and 20 passes of a harvester with a weight of 100 kN (70 kN on the front axle). Undisturbed soil samples were collected at 5.5-10.5 cm and 13.5-18.5

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H. Khan, Zawar, Waheed Imran, Sajid Azeem, Khurram S. Khattak, T. Aaron Gulliver, and Muhammad Sagheer Aslam. "A Macroscopic Traffic Model based on Driver Reaction and Traffic Stimuli." Applied Sciences 9, no. 14 (2019): 2848. http://dx.doi.org/10.3390/app9142848.

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A new macroscopic traffic flow model is proposed, which considers driver presumption based on driver reaction and traffic stimuli. The Payne–Whitham (PW) model characterizes the traffic flow based on a velocity constant C 0 which results in unrealistic density and velocity behavior. Conversely, the proposed model characterizes traffic behavior with velocities based on the distance headway. The performance of the proposed and PW models is evaluated over a 300 m circular road for an inactive bottleneck. The results obtained show that the traffic behavior with the proposed model is more realistic

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Velarde-Alvarado, Pablo, Alberto F. Martínez-Herrera, and Adalberto Iriarte-Solis. "Using Entropy Spaces and Mixtures of Gaussian Distributions to Characterize Traffic Anomalies." Procedia Technology 3 (2012): 97–108. http://dx.doi.org/10.1016/j.protcy.2012.03.011.

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Ali, Faryal, Zawar Hussain Khan, Khurram Shehzad Khattak, and Thomas Aaron Gulliver. "A Microscopic Traffic Flow Model Characterization for Weather Conditions." Applied Sciences 12, no. 24 (2022): 12981. http://dx.doi.org/10.3390/app122412981.

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Road surfaces are affected by rain, snow, and ice, which influence traffic flow. In this paper, a microscopic traffic flow model based on weather conditions is proposed. This model characterizes traffic based on the weather severity index. The Intelligent Driver (ID) model characterizes traffic behavior based on a constant acceleration exponent resulting in similar traffic behavior regardless of the conditions, which is unrealistic. The ID and proposed models are evaluated over a circular road of length 800 m. The results obtained indicate that the proposed model characterizes the velocity and

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Asif, Muhammad, Shafi Khan, Rashid Ahmad, and Dhananjay Singh. "Game-Theoretic Solutions for Data Offloading in Next Generation Networks." Symmetry 10, no. 8 (2018): 299. http://dx.doi.org/10.3390/sym10080299.

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In recent years, global mobile data traffic has seen an unprecedented increase. This is due to worldwide usage of smart devices, availability of fast internet connections, and the popularity of social media. The Mobile Network Operators (MNOs) are, therefore, facing problems in handling this huge traffic flow. Each type of traffic, including real-time video, audio, and text has its own Quality of Services (QoS) requirements which, if not met, may cause a sufficient loss of profit. Offloading of these traffics can be made more efficient so that values of QoS parameters are enhanced. In this wor

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Waddell, Jonathan M., Stephen M. Remias, Jenna N. Kirsch, and Ted Trepanier. "Utilizing Low-Ping Frequency Vehicle Trajectory Data to Characterize Delay at Traffic Signals." Journal of Transportation Engineering, Part A: Systems 146, no. 8 (2020): 04020069. http://dx.doi.org/10.1061/jtepbs.0000382.

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LI, MING, and S. C. LIM. "MODELING NETWORK TRAFFIC USING CAUCHY CORRELATION MODEL WITH LONG-RANGE DEPENDENCE." Modern Physics Letters B 19, no. 17 (2005): 829–40. http://dx.doi.org/10.1142/s0217984905008864.

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Much attention has been given to the long-range dependence and fractal properties in network traffic engineering, and these properties are also widely observed in many fields of science and technologies. Traffic time series is conventionally characterized by its fractal dimension D, which is a measure for roughness, and by the Hurst parameter H, which is a measure for long-range dependence, see for examples (Refs. 10–12). Each property has been traditionally modeled and explained by self-affine random functions, such as fractional Gaussian noise (FGN)1,10–13,18,22–28 and fractional Brownian mo

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Boora, Amardeep, Indrajit Ghosh, and Satish Chandra. "What Characterizes a Vehicle as Follower on Two-Lane Intercity Highways under Heterogeneous Traffic Conditions." Journal of Transportation Engineering, Part A: Systems 144, no. 2 (2018): 04017070. http://dx.doi.org/10.1061/jtepbs.0000106.

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Vojtov, Viktor, Andrey Кravtsov, Mykola Karnaukh, Oleksiy Goryayinov, Anna Kozenok, and Inna Babych. "Assessment of the Ergonomic Stability of the Traffic Flow on Sections of the Road Network. Identification of the Mathematical Model." Central Ukrainian Scientific Bulletin. Technical Sciences 1, no. 7(38) (2023): 236–45. http://dx.doi.org/10.32515/2664-262x.2023.7(38).1.236-245.

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The paper discusses the structure of the mathematical model featuring assessment of the ergonomic stability of the traffic flow in various sections of the road network under the influence of external disturbances, which is the result of structural identification. The mathematical model differs from the known ones in that it takes into account the dynamics of the process development. In addition to the gradients of speed and density of traffic flows, the research takes into account the dynamic properties of vehicles and the multi-lane road network, as well as the time of delays at pedestrian cr

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Anisimov, Ilya, Anastasia Burakova, Olga Burakova, and Lyudmila Burakova. "Evaluation of the traffic signal regulation efficiency of crossroads with unstable transport demand by time." MATEC Web of Conferences 170 (2018): 05013. http://dx.doi.org/10.1051/matecconf/201817005013.

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The article describes the results of the research, whose goal is to assess the effectiveness of the traffic light operation at crossroads with unstable transport demand in terms of time and directions. The modern way of cities development consists in creation of sustainable, and, hence, safe, harmless and comfortable environment for residing. This determines the separation of urban and industrial areas, the creation of transport infrastructure, in particular crossroads, which are equipped with traffic lights. As a rule, it is characterized by unstable transport demand in the direction of entry

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Knežiček, Tihomir, Dean Osmanović, and Sabina Sinanović Ćatibušić. "LOCALLY CHARACTERISED REPETITIVE ILLEGAL LANDFILLS CLASSIFICATION." Glasnik Rudarsko-geološko-građevinskog fakulteta 11, no. 11 (2023): 1–8. http://dx.doi.org/10.51558/2303-5161.2023.11.11.1.

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Illegal dumping of waste material is present in almost all local communities in Bosnia and Herzegovina, including in the areas of urban and rural local communities of the City of Tuzla. Uncontrolled waste dumping at the landfields, as the illegal dumping, are created by dumping different types of waste material in areas that are not intended for waste material disposal. These are areas that are usually next to roads with less traffic, or in the immediate vicinity of roads where access is possible for motor vehicles with a lower load capacity. Illegal landfills have a direct negative impact on

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WENDT, JAN A., and DARIUSZ JACEK OLSZEWSKI-STRZYŻOWSKI. "Changes in air tourism to Tunisia in 2009–2018." Baltic Journal of Health and Physical Activity 12, Special Issue 1 (2020): 158–66. http://dx.doi.org/10.29359/bjhpa.12.spec.iss1.17.

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Background: T he subject of this study is an analysis of the changes of tourist air traffic in Tunisia between 2009 and 2018. During this time, Tunisia saw political changes and worldwide-reported coverage of terrorist attacks on tourists (2014–2015). The aim of this study was to attempt to determine the extent to which the Tunisian Revolution and terrorist attacks have had a negative impact on the decline in the tourist traffic, and to assess the rate of return of the tourist traffic and income in this sector to the levels from before the Revolution. Material and methods: The main source of s

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Sayyady, Fatemeh, John R. Stone, Kent L. Taylor, Fadi M. Jadoun, and Y. Richard Kim. "Clustering Analysis to Characterize Mechanistic–Empirical Pavement Design Guide Traffic Data in North Carolina." Transportation Research Record: Journal of the Transportation Research Board 2160, no. 1 (2010): 118–27. http://dx.doi.org/10.3141/2160-13.

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Cristina, Alejandra Domínguez-Cabrera, Diego Febres-Eguiguren Juan, and N. Cuadra Steven. "Uncovering road traffic crashes typologies using multiple correspondence analysis (MCA), in a low-resource setting." Revista Facultad de Ingeniería, Universidad de Antioquia, no. 107 (July 18, 2022): 113–30. https://doi.org/10.17533/udea.redin.20220786.

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The main focus of this study was to investigate self-reported road traffic crashes (RTC) among drivers from Loja Ecuador and to illustrate the applicability of multiple correspondence analysis (MCA) in detecting and representing typologies of individuals who have experienced an RTC as well as the typology of RTC events, upon information collected through a web-based survey carried in 2021. Overall, 754 drivers were investigated and we estimated a life prevalence (LP) of RTC of 41.5% (95% CI 36.9 to 46.2). Typology of drivers who reported involvement in an RTC is characterized by a predominance

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Bothe, Shruti, Haneya Naeem Qureshi, and Ali Imran. "Which Statistical Distribution Best Characterizes Modern Cellular Traffic and What Factors Could Predict Its Spatiotemporal Variability?" IEEE Communications Letters 23, no. 5 (2019): 810–13. http://dx.doi.org/10.1109/lcomm.2019.2908370.

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Bejarano, Lilian Astrid, Carlos Enrique Montenegro, and Helbert Eduardo Espitia. "Optimization of a Fuzzy System Used to Characterize the Factors That Affect Drivers on Urban Roads." Computers 12, no. 4 (2023): 70. http://dx.doi.org/10.3390/computers12040070.

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This document seeks to model the behavior of drivers on urban roads considering different environmental factors using a Mamdani-type fuzzy system. For this, a leader-following traffic model and a fuzzy logic system are used to characterize the behavior of drivers. Real data are obtained using a camera in the roads under consideration, and these data and an optimization process are employed to fit the fuzzy model. For the optimization process, the fuzzy logic system used to model the driver’s behavior is incorporated into a dynamic vehicle tracking model where the fuzzy system allows considerin

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Mir, Fairoz Akhter, Azam Faiyaz, and Asif Hussain Dr. "Comparative Study on Effect of Fly Ash and Rice Husk Ash on Strength of Concrete." International Journal of Trend in Scientific Research and Development 2, no. 5 (2018): 1803–13. https://doi.org/10.31142/ijtsrd18169.

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The construction of concrete pavement is growing across the country due to its strength, durability, better serviceability and overall economy in long run. The need is to develop better quality pavement sections, which can bear heavy loads. This can be achieved by using high compressive strength concrete 40MPa made up of hydraulic cement having fine and course aggregates. In the work embodied construction work is done with the help of wastage from industry. Fly ash is a by product of burned coal from thermal plants and Rice husk ash is the by product of burned rice husk from paper plant. Consi

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Zakharenko, Roman. "Traffic Priority Mechanisms." Transportation Science 54, no. 5 (2020): 1211–24. http://dx.doi.org/10.1287/trsc.2019.0917.

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In the future world of self-driving vehicles, intersections will be managed by computers that send individual commands to each passing vehicle. This paper proposes to make traffic priority contingent on the self-reported value of time of vehicle occupants. A model of two merging roads with stochastic traffic is developed. Algorithms for calculation of optimal exit sequences, accounting for time value heterogeneity, are characterized. Welfare costs of a limited planning horizon are assessed. An incentive-compatible scheme of payment for priority is calculated. Under mild conditions, the mechani

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Costanzo, Antonio, Sergio Falcone, Carmelo La Piana, et al. "Laser Scanning Investigation and Geophysical Monitoring to Characterise Cultural Heritage Current State and Threat by Traffic-Induce Vibrations: The Villa Farnesina in Rome." Remote Sensing 14, no. 22 (2022): 5818. http://dx.doi.org/10.3390/rs14225818.

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A multidisciplinary approach is often the only way to assess the state of the cultural heritage, thus involving different specialist expertise and techniques. The paper shows the paired use of terrestrial laser scanning (TLS) and geophysical monitoring (GM) to detect past effects and analyse the actual vibration levels induced by traffic on cultural heritage. The case study is the Villa Farnesina, one of the most important Renaissance buildings commissioned by the banker Agostino Chigi. The Villa contains frescoes attributed to Raphael and other famous 16th century artists, and it is located a

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YI, Xiangyu, Hongmei ZHOU, and Shaopeng ZHONG. "Real-Time Adaptive Traffic Flow Prediction Based on a GE-GRU-KNN Model." Promet - Traffic&Transportation 37, no. 3 (2025): 754–72. https://doi.org/10.7307/ptt.v37i3.775.

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Traffic flow prediction is an important part of urban intelligent transportation systems. However, due to strong nonlinear characteristics and spatiotemporal correlations of the traffic within the network, traffic flow prediction has been a challenging task. In order to capture the spatiotemporal correlation, and improve the traditional methods of using predefined adjacency matrices that cannot effectively characterise the dynamic correlation of traffic flow, a GE-GRU-KNN model for predicting the road traffic flow is proposed. Specifically, the spatial representation of the road network learne

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Ali, Faryal, Zawar Hussain Khan, Thomas Aaron Gulliver, Khurram Shehzad Khattak, and Ahmed B. Altamimi. "A Microscopic Traffic Model Considering Driver Reaction and Sensitivity." Applied Sciences 13, no. 13 (2023): 7810. http://dx.doi.org/10.3390/app13137810.

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A new microscopic traffic model is proposed that characterizes driver response according to reaction and sensitivity. Driver response in the intelligent driver (ID) model is based on a fixed acceleration exponent and so does not follow traffic physics. This inadequate characterization results in unrealistic traffic behavior. With the proposed model, drivers can be aggressive, sluggish, or typical. It is shown to be string stable, and for appropriate distance headway and velocity (speed), the traffic flow is smooth. Furthermore, the proposed model has better stability than the ID model because

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Li, Yueyang, Xuguang Wen, Yi Ai, and Zongping Li. "A fusion framework to characterize and evaluate air traffic clusters based on potential field theory." Alexandria Engineering Journal 107 (November 2024): 359–73. http://dx.doi.org/10.1016/j.aej.2024.07.076.

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Lebacque, J. P. "Two-Phase Bounded-Acceleration Traffic Flow Model: Analytical Solutions and Applications." Transportation Research Record: Journal of the Transportation Research Board 1852, no. 1 (2003): 220–30. http://dx.doi.org/10.3141/1852-27.

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A two-phase traffic flow model is described. One phase is traffic equilibrium: flow and speed are functions of density, and traffic acceleration is low. The second phase is characterized by constant acceleration. This model extends first-order traffic flow models and recaptures the fact that traffic acceleration is bounded. Calculation of analytical solutions of the two-phase model for dynamic traffic situations is shown, a set of calculation rules is provided, and some examples are analyzed.

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Oleh, Skydan, Sheludchenko Bogdan, Kukharets Savelii, Medvedskyi Oleksandr, and Yarosh Yaroslav. "ANALYTICAL STUDY OF MULTIFRACTAL INVARIANT ATTRIBUTES OF TRAFFIC FLOWS." Eastern-European Journal of Enterprise Technologies 3, no. 3(99) (2019): 22–29. https://doi.org/10.15587/1729-4061.2019.170212.

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The motor transport complex is formed by a multitude of motor traffic flows and a network of automobile roads. Transition to a new level of the motor functioning transport complex requires the development of new methods of formalizing the collective interaction of all road users. This is connected to an increase in the number of autonomous vehicles in joint traffic. We established that the transport-technological self-organization of motor transport flows is a multifractal structure. Such a structure is reliably enough described by regular hierarchical ‒ sets of Cantor regarding the parameter

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ZHANG, WEI-WEI, RUI JIANG, YAO-MING YUAN, and QING-SONG WU. "TRAFFIC DYNAMICS IN A TWO-LANE MIXED TRAFFIC SYSTEM: EFFECT OF FOUR LANE CHANGING REGULATIONS." International Journal of Modern Physics C 19, no. 11 (2008): 1705–15. http://dx.doi.org/10.1142/s0129183108013230.

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This paper investigates traffic dynamics of two-lane mixed traffic flow system composed of cars and buses, which are characterized by different lengths and different maximum velocities. Four lane changing regulations are studied, which reveals effect of lane changing ban, symmetric and asymmetric lane changing rules on traffic flow characteristics (flow rate, carry capability, lane changing frequency, and lane usage). We expect that our results could be useful for traffic management.

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Cook, Mylan R., Kent L. Gee, Mark K. Transtrum, Shane V. Lympany, and Matthew F. Calton. "A physics-guided model for predicting spectral and temporal variability of road traffic noise." Journal of the Acoustical Society of America 152, no. 4 (2022): A48. http://dx.doi.org/10.1121/10.0015497.

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The National Transportation Noise Map (NTNM) provides daily averaged A-weighted equivalent sound levels across the continental United States (CONUS) due to road traffic. The NTNM maps the spatial variability of road traffic noise, but not the temporal or spectral variability. A physics-guided model was developed to predict the temporal and spectral variability of road traffic noise across CONUS. Empirical models were developed to predict hourly road traffic volume and vehicle class mix across CONUS based on publicly available traffic volume measurements and geospatial data. The Federal Highway

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HUANG, DING-WEI, and WEI-NENG HUANG. "OPTIMIZATION OF TRAFFIC LIGHTS AT CROSSROADS." International Journal of Modern Physics C 14, no. 05 (2003): 539–48. http://dx.doi.org/10.1142/s0129183103004784.

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We study the influence of traffic lights on the traffic flow in cities. The urban traffic is simulated in the cellular automata framework. Both the deterministic and probabilistic models are discussed. The effects of speed limit and stochastic noise are analyzed. The operation of a traffic light is characterized by two parameters: signal period and phase allocation. With two traffic lights on road, one more parameter is prescribed: synchronization shift. The results of tuning these parameters are presented in the fundamental diagram. We examine the traffic flow and discuss the choice of optimi

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Malandra, Filippo, Hakim Mellah, Abbas Dehghani Firouzabadi, Constant Wette, and Brunilde Sanso. "A Layered and Grid-Based Methodology to Characterize and Simulate IoT Traffic on Advanced Cellular Networks." IEEE Internet of Things Magazine 6, no. 1 (2023): 134–40. http://dx.doi.org/10.1109/iotm.001.2200156.

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Navoi, D. V., D. V. Kapski, N. A. Filippova, and I. N. Pugachev. "Analysis of world experience in the use of artificial intelligence in traffic control systems at various levels." «System analysis and applied information science», no. 1 (May 8, 2024): 26–36. http://dx.doi.org/10.21122/2309-4923-2024-1-26-36.

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When operating automated traffic control systems and their transformation into intelligent transport systems, modern requirements are imposed on the overall parameter safety, which characterizes the quality and efficiency of road traffic, especially when organizing high-speed loaded traffic of motor vehicles. The article discusses the use of various mathematical methods for these purposes when modeling transport processes and systems, including taking into account the development of artificial intelligence algorithms, so that when making decisions on traffic control, one can have reliable fore

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Luburić, Grgo, Antonia Perković Blašković, and Habib Hasani. "Risk Assessment of Traffic Accidents Involving Young Adult Drivers by Identification of Subjective and Objective Factors." Promet 35, no. 1 (2023): 27–36. http://dx.doi.org/10.7307/ptt.v35i1.9.

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Young drivers represent the most vulnerable age group at risk of participating in traffic accidents. In order to reduce the occurrence of traffic accidents involving young drivers, various models for assessing the risk of accidents have been studied. Inexperience, lack of driving skills and risky behaviour in traffic are the main characteristics of traffic accidents involving young adult drivers. On the contrary, traffic accidents involving older adult drivers are characterised by reduced visual and cognitive stimuli and reduced mobility. Based on the data about traffic accidents from the avai

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Bartuska, Ladislav, Jiri Hanzl, and Jan Lizbetin. "Urban Traffic Detectors Data Mining for Determination of Variations in Traffic Volumes." Archives of Automotive Engineering – Archiwum Motoryzacji 90, no. 4 (2021): 15–31. http://dx.doi.org/10.14669/am.vol90.art2.

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This paper analyses road traffic volumes in the urban environment for the purpose of traffic planning and creation of traffic models. For modelling traffic in a certain area, the initial information about transport demand and distribution in given area is required. The demand for transport is further re-distributed to the transport network and measured against the current road traffic volumes / intensity of traffic. Traffic volumes over time are characterized by various periodic and non-periodic influences (variations). By studying these variations, the tools can be specified for making the fi

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Wu, Zhen, Po-Lin Lai, Fei Ma, Keun-Sik Park, and Suthep Nimsai. "Determining Spatial Relationships between Airports and Local Economy from Competitiveness Perspective: A Case Study of Airports in China." Aerospace 10, no. 2 (2023): 138. http://dx.doi.org/10.3390/aerospace10020138.

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The intent of this research is to present an investigation into whether spatial relationships in China’s airports are primarily characterised by competition or complementarity; accordingly, this is approached from the perspectives of passenger and cargo traffic. This research also focused on two issues: The first is the spatial Durbin model (SDM), which is used to judge the competition or complementarity among airports with spatial dependence as an indicator. Second, considering that airport activities may be affected by neighbouring cities due to the externality of economic development, the s

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Samardžić, Kristina, Petar Andraši, Tomislav Radišić, and Doris Novak. "Probabilistic Air Traffic Complexity Analysis Considering Prediction Uncertainties in Traffic Scenarios." Aerospace 11, no. 10 (2024): 798. http://dx.doi.org/10.3390/aerospace11100798.

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This article presents a methodology for analyzing probabilistic air traffic complexity by integrating prediction uncertainties in convective weather scenarios. With the Performance Review Unit (PRU) model as a base, this method modifies the original framework by incorporating a weather-related complexity indicator. The approach was tested in Austrian airspace using ensemble weather forecasts and historical flight plan data. The results demonstrated that a probabilistic model effectively assesses traffic complexity and captures trends in complexity over time, providing greater reliability in hi

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