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Journal articles on the topic 'Traffic'

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1

Amin, Reuel. "Traffix : Efficient Traffic Control using IoT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31872.

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This paper aims to alleviate traffic congestion brought on by antiquated, ineffective traffic management systems that are based on a predefined countdown. Long red light delays are the result of these traditional systems, which have a predefined countdown regardless of the actual traffic on a given road. Our system makes sure that time set for the traffic lights reflects the traffic density in real time, which ensures efficient use of time. In order to do this, we first compute the traffic density, which is ascertained by combining image processing methods along with the use of ultrasonic sens
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Hussein, Shahab A., Mahmood A. Hussein, and Saad A. Al-Rijabo. "Mechanization Assessment of Soil Compaction Induced by Traffic of Farm Machinery." IOP Conference Series: Earth and Environmental Science 1214, no. 1 (2023): 012051. http://dx.doi.org/10.1088/1755-1315/1214/1/012051.

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Abstract This study was conducted to investigate the impacts of compacted and non-compacted soils induced by traffic of farm machines and equipment during the agricultural operations on some mechanization properties (e.g. Draught Force, Specific Resistance, Energy Use Efficiency and Soil resistance to cutting and shaping). The experiment was conducted during the spring agricultural season of 2022 in one of the farms that located about 30 km Northwest Mosul city - Nineveh Governorate - Iraq. Randomized Complete Block Design (RCBD) was used for data analyses with four replications (n=4). The exp
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Hamarashid, Hozan Khalid, Miran Hama Rahim Saeed, and Soran Saeed. "Designing a Smart Traffic Light Algorithm (HMS) Based on Modified Round Robin Algorithm." Kurdistan Journal of Applied Research 2, no. 1 (2017): 27–30. http://dx.doi.org/10.24017/science.2017.1.8.

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Nowadays, traffic light system is very important to avoid car crashes and arrange traffic load. In the Sulaimani City / Iraq, there are many traffic problems such as traffic congestion or traffic jam and the amount of time provided manually to the traffic light system. This is the main difficulty that we try to solve. The traffic lights exist but still do not manage traffic congestion due to the fixed time provided for each lane regardless of their different load. Therefore, we are proposing to change the traditional traffic system to smart traffic system (adaptive system). This paper Focuses
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Elizabeth Philip, Babitha, and Jaseela K H. "Traffic Flow Modeling and Study of Traffic Congestion." International Journal of Scientific Engineering and Research 4, no. 1 (2016): 67–68. https://doi.org/10.70729/ijser15667.

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Chaurasia, Amit, and Vivek Kumar Sehgal. "Performance of Gaussian and Non-Gaussian Synthetic Traffic on Networks-on-Chip." International Journal of Multimedia Data Engineering and Management 8, no. 2 (2017): 33–42. http://dx.doi.org/10.4018/ijmdem.2017040104.

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In this paper, we have worked on the bursty synthetic traffic for Gaussian and Non-Gaussian traffic traces on the NoC architecture. This is the first study on the performance of Gaussian and Non-Gaussian application traffic on the multicore architectures. The real-time traffic having the marginal distribution are Non-Gaussian in nature, so any analytical studies or simulations will not be accurate, and does not capture the true characteristics of application traffic. Simulation is performed on synthetic generated traces for Gaussian and Non-Gaussian traffic for different traffic patterns. The
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Wu, Wei Qiang, Bing Ni Luo, Pei Pei Chen, and Qin Yu Zhang. "QoS Routing Protocol Based on Resource Optimization for Aerospace Networks." Applied Mechanics and Materials 596 (July 2014): 856–60. http://dx.doi.org/10.4028/www.scientific.net/amm.596.856.

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To guarantee the QoS of the various traffics and take good advantage of the network resource, the QoS routing protocol based on resource optimization is proposed. By the network state information dynamic update and the QoS routing optimization model design, the QoS routing protocol can provide the optimal path for real-time traffic, broadband traffic and best effort traffic in time with low control message cost. Simulation shown that, compared to the traditional shortest path routing, the QoS routing can satisfy the demand of traffics and can improve the network performance.
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Manvelidze, A. B. "Air lines network modelling algorithm." Strategic decisions and risk management, no. 6 (February 13, 2018): 22–29. http://dx.doi.org/10.17747/2078-8886-2017-6-22-29.

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This analysis is dedicated to find out methods for setting of route networks where new aircraft can be effectively put into service. The conception of this analysis is based on the idea of so called connectivity principle for airports connected by passenger traffic with each other.For the passenger traffic analysis the author took passenger traffic data by federal districts starting from the Far East. Then consequently the data for Siberian, Ural, Wolga, Northwestern, Central, Southern and North Caucasian federal districts were analyzed. Passenger traffic to the Crimea was treated separately.
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Desimoni, Federico, Sergio Ilarri, Laura Po, Federica Rollo, and Raquel Trillo-Lado. "Semantic Traffic Sensor Data: The TRAFAIR Experience." Applied Sciences 10, no. 17 (2020): 5882. http://dx.doi.org/10.3390/app10175882.

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Modern cities face pressing problems with transportation systems including, but not limited to, traffic congestion, safety, health, and pollution. To tackle them, public administrations have implemented roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. In the case of traffic sensor data not only the real-time data are essential, but also historical values need to be preserved and published. When real-time and historical data of smart cities become available, everyone can join an evidence-based debate on the city’s future evolution.
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Amirullah, M. Farid. "Standard Operating Crime Investigation Traffic Accidents." Jurnal Daulat Hukum 1, no. 3 (2018): 837. http://dx.doi.org/10.30659/jdh.v1i3.3411.

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History Traffic in Indonesia can not be separated from the development of the world Automotive technology, which originated from the discovery of the engine with petroleum fuels. In the days of the Dutch East Indies government then ruled Indonesia started bringing vehicles wheel 4 and wheel 2 to Indonesia, causing traffic activity. And when the car and motorcycle multiply causing many problems - the problems of traffic, such as traffic violations and accidents. Given the above, of course of police duties particularly Traffic Police Unit increasingly severe, in the sense of Traffic Police Unit
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T M, Inba Malar, Bharatha Sreeja G, Amala Justus Selvam M, et al. "Intelligent Traffic Control System Using Deep Learning." ECS Transactions 107, no. 1 (2022): 2783–90. http://dx.doi.org/10.1149/10701.2783ecst.

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Traffic congestion and regulating traffic in traffic signals are major issues in cities. Nowadays, in most of the cities, traffic management centers installed numerous cameras all over the roads and traffic signals. Such cameras can be effectively used for the automation of traffic signals. The objective is to develop a real time system that can automatically monitor real time traffic and make the system intelligent using artificial intelligence techniques. Specifically, Deep Convolutional Neural Networks are employed to perform the task. From statistical traffic data, it determines count, typ
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Wuthishuwong, Chairit, and Ansgar Traechtler. "Distributed control system architecture for balancing and stabilizing traffic in the network of multiple autonomous intersections using feedback consensus and route assignment method." Complex & Intelligent Systems 6, no. 1 (2019): 165–87. http://dx.doi.org/10.1007/s40747-019-00125-3.

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Abstract Autonomous and intelligent system show a remarkable step in urban traffic management. Autonomous Intersection Management (AIM) is an outstanding example of using an autonomous vehicle and wireless communication technology. The traffic performance of a single AIM system has been proved in many works however, traffic in the network of multiple AIMs is waiting for an implementation. Coordination of traffic between intersections in the network is an important step of managing the overall networked traffic throughput. The authors modeled the traffic network with the multi-agents concept an
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Royko, Yuriy, Yurii Yevchuk, and Romana Bura. "Minimization of traffic delay in traffic flows with coordinated control." Transport technologies 2021, no. 2 (2021): 30–41. http://dx.doi.org/10.23939/tt2021.02.030.

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The method and results of transport research, carried out by field research method, on the determination of the main indicators of traffic flows with significant unevenness of the movement on the arterial street in conditions of coordinated control is reviewed in the paper. Time parameters of traffic light control for which a reduction in traffic delay is achieved in direct and opposite traffic flow by the change of permissive signal depending on traffic intensity are determined using the simulation method. Change (increase) of the duration of the permissive signal provides uninterrupted movem
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Åberg, L. "Traffic rules and traffic safety." Safety Science 29, no. 3 (1998): 205–15. http://dx.doi.org/10.1016/s0925-7535(98)00023-x.

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14

Hosseinyalmdary, S., and A. Yilmaz. "TRAFFIC LIGHT DETECTION USING CONIC SECTION GEOMETRY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-1 (June 2, 2016): 191–200. http://dx.doi.org/10.5194/isprsannals-iii-1-191-2016.

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Traffic lights detection and their state recognition is a crucial task that autonomous vehicles must reliably fulfill. Despite scientific endeavors, it still is an open problem due to the variations of traffic lights and their perception in image form. Unlike previous studies, this paper investigates the use of inaccurate and publicly available GIS databases such as OpenStreetMap. In addition, we are the first to exploit conic section geometry to improve the shape cue of the traffic lights in images. Conic section also enables us to estimate the pose of the traffic lights with respect to the c
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Hosseinyalmdary, S., and A. Yilmaz. "TRAFFIC LIGHT DETECTION USING CONIC SECTION GEOMETRY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-1 (June 2, 2016): 191–200. http://dx.doi.org/10.5194/isprs-annals-iii-1-191-2016.

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Traffic lights detection and their state recognition is a crucial task that autonomous vehicles must reliably fulfill. Despite scientific endeavors, it still is an open problem due to the variations of traffic lights and their perception in image form. Unlike previous studies, this paper investigates the use of inaccurate and publicly available GIS databases such as OpenStreetMap. In addition, we are the first to exploit conic section geometry to improve the shape cue of the traffic lights in images. Conic section also enables us to estimate the pose of the traffic lights with respect to the c
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16

Saadi Abdullah, Ahmed, Majida Ali Abed, and Ahmed Naser Ismael. "Traffic signs recognitionusing cuckoo search algorithm and Curvelettransform with image processing methods." Journal of Al-Qadisiyah for computer science and mathematics 11, no. 2 (2019): 74–81. http://dx.doi.org/10.29304/jqcm.2019.11.2.591.

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Compliance with traffic signs is one of the most important things to follow to avoid traffic accidents as well as compliance with traffic rules in terms of parking, speed control, and other traffic sings. Progress in different areas, such as self-propelled car manufacturing or the production of devices that help the visually impaired, require values to find a way to determine traffic signals with high precision in this research, The first step is to take a picture of the traffic sign and apply some digital image processing techniques to increase image contrast and eliminate noise in the image,
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17

Faraj, Mohammed Abdulmaged, and Najmadin Wahid Boskany. "Intelligent Traffic Congestion Control System using Machine Learning and Wireless Network." UHD Journal of Science and Technology 4, no. 2 (2020): 123–31. http://dx.doi.org/10.21928/uhdjst.v4n2y2020.pp123-131.

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Traffic congestion has become a big problem for most people because it increases noise, air pollution, and wasting time. Current normal traffic light system is not enough to manage the traffic problematic congestions because they operate on a fixed-time length plan. In recent years, internet of things led to introducing new models of intelligent traffic light systems; by utilizing different techniques such as predictive-based model, radiofrequency identification, and ultrasonic-based model. The most essential one of these techniques is depends of image processing and microcontroller communicat
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18

Kuo, Yau-Hwang, Mong-Fong Horng, and Jung-Hsien Chiang. "An Adaptive Fuzzy Clustering Technique for Traffic Prediction of Packet-switched Networks." Journal of Advanced Computational Intelligence and Intelligent Informatics 5, no. 3 (2001): 180–88. http://dx.doi.org/10.20965/jaciii.2001.p0180.

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Traffic prediction is significant to QoS design because it assists efficient management of network resources to improve the reliability and performance of the next generation Internet. The unavoidable traffic variation caused by diverse Internet services complicates traffic prediction, particularly in a multi-hop network. To simplify the complicated statistical analysis used in traditional approaches, an adaptive traffic prediction approach featuring robustness, high accuracy and high adaptability is proposed in this paper. The proposed approach bases on a novel fuzzy clustering algorithm to g
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19

Singh, Arunima, and Dr Ashok Kumar Sahoo. "Traffic Sign Recognition." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 122–26. http://dx.doi.org/10.31142/ijtsrd12783.

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20

Pešić, Dalibor, Boris Antić, Emir Smailovic, and Bojana Todosijević. "The impact of the average traffic flow speed on occurrence risk of road crash." Put i saobraćaj 65, no. 2 (2019): 29–36. http://dx.doi.org/10.31075/pis.65.02.05.

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Traffic flow characteristics have a significant impact on occurrence risk of road crash. The most important characteristics of the traffic flow, the impact of which is the subject of numerous studies, are the traffc flow, density, average traffic flow speed, dispersion of traffic flow speeds, as well as the contents of vehicle in traffic flow. These characteristics are in strong correlation between each other, so changes in one parameter conditional make change of other parameters. Research shows that speed-related traffic flow parameters have a significant impact on occurrence risk of road cr
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21

Hailu, Dawit Hadush, Gebrehiwet Gebrekrstos Lema, Gebremichael T. Tesfamariam, and Tole Sutikno. "A simulation based performance evaluation of optical ethernet switch." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (2020): 1639. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1639-1646.

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<p class="FigureCaption"><span>With the advent of several new cloud radio access network (C-RAN) technologies, today’s networking environment is dramatically altered and is experiencing a rapid transformation. One of the most important is ethernet based C-RAN, in support of which many products such as optical Ethernet switches have recently appeared on the market. This paper presents the performance analysis of such switches with respect to packet loss ratio (PLR), latency and packet delay variation (PDV). We employed the Simula based on discrete event modelling on Simula (DEMOS),
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Taras, Postranskyy, Boikiv Mykola, Afonin Maksym, and Rogalskyi Roman. "SELECTION OF A TRAFFIC MANAGEMENT SCHEME AT AN INTERSECTION TAKING INTO CONSIDERATION THE TRAFFIC FLOW COMPOSITION." Eastern-European Journal of Enterprise Technologies 1, no. 3 (103) (2020): 39–46. https://doi.org/10.15587/1729-4061.2020.195327.

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Traffic flows in large cities have a non-uniformed character of origin and changes. The main parameters are often sensitive to the changes in the environmental conditions, specifically, the time of the day, season, etc. The magnitudes that characterize traffic flows have a stochastic nature and therefore they are difficult to predict. According to this, indicators such as intensity, density and traffic speed over time and space are uneven. Taking this into consideration, during the development of traffic management schemes, there arises a necessity to take into consideration additional factors
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Jiang, Shi Bao, Chuan Feng Bai, and Cui Feng Du. "Traffic Forecast Based on Empirical Mode Decomposition and RBF Neural Network." Advanced Materials Research 846-847 (November 2013): 1270–73. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1270.

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Traffic analysis and forecast are the classic topics of telecommunication research, as they provide strategic ground to address the issues such as mobile networks traffic jam, network coverage planning design, marketing management etc. On the basis of the empirical mode decomposition theory and methods, this article first implements multi-scale analysis of the time series of traffic, then it goes on to executes RBF neural network based on the different compositions, and finally reach the forecast expectation of voice traffics of selected base stations.
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Trzoński, Karol. "Railway Traffic Regional in Silesia - history or the future." Transportation Overview - Przeglad Komunikacyjny 2016, no. 4 (2016): 61–66. http://dx.doi.org/10.35117/a_eng_16_04_07.

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Silesian Voivodeship is the most populated area in Poland, having a well-functioning road network and a dense rail network, which unfortunately is not sufficiently used due to low capacity due to poor technical condition (at medium speeds not exceeding 30 km/h for passenger traffic and 20 km/h for freight traffic). On the railway network in Silesia there is mixed traffic, ie. Commodity-passenger. Often freight traffic has priority over passenger traffic and a number of railway lines is greater % of occupancy. The article presents the historical regional railway, which was to be dedicated to on
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Fahrianto, Feri, Viva Arifin, Imam Marzuki Shofi, et al. "Investigating Synthetic Traffic Generators for Zipf Distribution Simulation Accuracy." JURNAL INFOTEL 17, no. 2 (2025): 268–78. https://doi.org/10.20895/infotel.v17i2.1359.

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Accurate traffic generation is essential for realistic network simulations in systems such as Content Delivery Networks (CDNs), Information-Centric Networks (ICNs), and the Internet of Things (IoT). These environments handle various types of data traffic—ranging from web pages and videos to sensor data and software updates—making it critical to model traffic patterns effectively. A well-designed traffic generator enables researchers and engineers to simulate real-world workloads, test scalability, and evaluate the performance of caching, routing, and resource allocation strategies under re
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Shulong, Dong, Li Chenchen, Fu Yuan, Wang Xiaolin, and Song Ziwen. "The effect of traffic signal countdown on traffic flow." Journal of Scientific and Engineering Research 8, no. 7 (2021): 90–95. https://doi.org/10.5281/zenodo.10608820.

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<strong>Abstract</strong> In order to reveal the impact of signal countdown on traffic operation, this paper quantifies its substantial impact on traffic operation from both efficiency and safety. It is found that the impact on traffic flow is different in two different situations: low saturation flow and high saturation flow the same. Therefore, based on the conclusion of this study, this paper proposes the reference conditions for the signal countdown setting, which provides a theoretical basis for the setting of the countdown, and improves the safety and traffic efficiency of the intersecti
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Tian, Bei Ping, Han Mei Wang, Wen Fang Liu, Bao Jun Yuan, and Xiao Bing Zhong. "Chain Reaction of Mountainside Disasters and its Dispersing Impact on the Traffic and Transportation Network." Advanced Materials Research 243-249 (May 2011): 592–96. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.592.

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There are much mountainous areas in China. Mountainous traffic is greatly different from the plain.Interrelation of mountain landform and the traffic there is analyzed first. Because mountainous traffics and towns are greatly influenced by the disasters there, chain reaction of disasters and its dispersing impact are in particular demonstrated. The course of a disaster could be divided into several stages. Through analyzing their characteristics, solutions in turn to treat disaster are listed. A case is given to elaborate the disaster and its impact on the traffic and town.
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Müller, Dorit, and Heike Weber. ""Traffic"." Transfers 3, no. 1 (2013): 65–74. http://dx.doi.org/10.3167/trans.2013.030106.

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In a nineteenth century context, traffic could mean both communication and the transportation of goods and people. For instance, the German term “traffic” (Verkehr), referred to “communicating” (verkehren) and to “traffic”/“transportation” (Verkehr). Historically speaking, before the age of telegraphy, any communication over distance required the physical transport of a message or a messenger. Many authors, thus, identified the latter as a fundamental caesura in the relationship between media and mobility, uncoupling media from their previous reliance on physical movement. At the same time, te
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Harrington, Jonathan. "Traffic." English Journal 81, no. 5 (1992): 103. http://dx.doi.org/10.2307/819913.

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Donapetry, María, and Steven Soderbergh. "Traffic." Chasqui 30, no. 1 (2001): 200. http://dx.doi.org/10.2307/29741674.

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Schippers, Martijn. "Traffic." Verslaving 5, no. 3 (2009): 69–70. http://dx.doi.org/10.1007/bf03081453.

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Ma, Qinglu, and Zheng Zou. "Traffic State Evaluation Using Traffic Noise." IEEE Access 8 (2020): 120627–46. http://dx.doi.org/10.1109/access.2020.3006332.

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Smith, M. J., and T. van Vuren. "Traffic Equilibrium with Responsive Traffic Control." Transportation Science 27, no. 2 (1993): 118–32. http://dx.doi.org/10.1287/trsc.27.2.118.

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Shimizu, H., and E. J. Davison. "Traffic Congestion Control of Traffic Network." IFAC Proceedings Volumes 25, no. 18 (1992): 117–22. http://dx.doi.org/10.1016/s1474-6670(17)49955-1.

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StoIlova, K., and T. StoIlov. "Traffic noise and traffic light control." Transportation Research Part D: Transport and Environment 3, no. 6 (1998): 399–417. http://dx.doi.org/10.1016/s1361-9209(98)00017-0.

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Tiwari, Geetam, Joseph Fazio, and Sushant Gaurav. "Traffic planning for non-homogeneous traffic." Sadhana 32, no. 4 (2007): 309–28. http://dx.doi.org/10.1007/s12046-007-0027-5.

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Wakeman, Ian, Dave Lewis, and Jon Crowcroft. "Traffic analysis of trans-Atlantic traffic." Computer Communications 16, no. 6 (1993): 376–88. http://dx.doi.org/10.1016/0140-3664(93)90119-d.

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Otoshi, Tatsuya, Yuichi Ohsita, Masayuki Murata, Yousuke Takahashi, Keisuke Ishibashi, and Kohei Shiomoto. "Traffic prediction for dynamic traffic engineering." Computer Networks 85 (July 2015): 36–50. http://dx.doi.org/10.1016/j.comnet.2015.05.001.

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Adje, Erick A., Vinasetan Ratheil Houndji, and Michel Dossou. "Features analysis of internet traffic classification using interpretable machine learning models." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 3 (2022): 1175. http://dx.doi.org/10.11591/ijai.v11.i3.pp1175-1183.

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Internet traffic classification is a fundamental task for network services and management. There are good machine learning models to identify the class of traffic. However, finding the most discriminating features to have efficient models remains essential. In this paper, we use interpretable machine learning algorithms such as decision tree, random forest and eXtreme gradient boosting (XGBoost) to find the most discriminating features for internet traffic classification. The dataset used contains 377,526 traffics. Each traffic is described by 248 features. From these features, we propose a 12
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Erick, A. Adje, Ratheil Houndji Vinasetan, and Dossou Michel. "Features analysis of internet traffic classification using interpretable machine learning models." International Journal of Artificial Intelligence (IJ-AI)1175-1183 11, no. 3 (2022): 1175–83. https://doi.org/10.11591/ijai.v11.i3.pp1175-1183.

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Internet traffic classification is a fundamental task for network services and management. There are good machine learning models to identify the class of traffic. However, finding the most discriminating features to have efficient models remains essential. In this paper, we use interpretable machine learning algorithms such as decision tree, random forest and eXtreme gradient boosting (XGBoost) to find the most discriminating features for internet traffic classification. The dataset used contains 377,526 traffics. Each traffic is described by 248 features. From these features, we propose a 12
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Zeng, Ming-Hua, Ke-Jun Long, Zi-Wen Ling, and Xi-Yan Huang. "A Multistage Multiobjective Model for Emergency Evacuation Considering ATIS." Mathematical Problems in Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/8291950.

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The impacts of advanced traveler information system’s (ATIS’s) penetration and compliance rates on network performances during hybrid traffic emergency evacuation are investigated in a degraded road network. Before traffic incident a Path-Size Logit (PSL) route choice model is integrated with constraints on the level of service (LOS) of traffic to formulate a bilevel programming model. It aims at minimizing traffic demand in road network which may locally deteriorate the LOS. The lower level is a PSL-stochastic user equilibrium model for multiple classes of users. During the ongoing incident,
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Agherkakli, B., A. Najafi, and S. H. Sadeghi. "Ground based operation effects on soil disturbance by steel tracked skidder in a steep slope of forest." Journal of Forest Science 56, No. 6 (2010): 278–84. http://dx.doi.org/10.17221/93/2009-jfs.

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In this study, the effects of slope and traffic intensity on soil compaction, rutting and forest floor removal was evaluated on a skid trail in the natural forest of north of Iran. Combination of two levels of slope &amp;lt; 20% (SC1) and &amp;gt; 20% (SC2) and three levels of traffic (one, five and nine traffics) were studied. Treatment plots, with three replications, were established on the skid trail prior to skidding. The results of this study showed that all bulk densities were considerably higher in SC2 than in SC1 and average soil bulk densities were measured from 1.07 (g∙cm&lt;sup&gt;&
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Singh, Rahul, Kamini Rawat, and Aarti Kadiyan. "Simulation of Traffic Flow in Presence of Traffic Light using Cellular Automata." Indian Journal of Applied Research 4, no. 6 (2011): 191–93. http://dx.doi.org/10.15373/2249555x/june2014/60.

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DAVYDOV, Boris. "1C31 Rescheduling of the mixed traffic on the railway section(Traffic Planning)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1C31–1_—_1C31–6_. http://dx.doi.org/10.1299/jsmestech.2015._1c31-1_.

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Thakur, Mannat, Harbir Singh, Shivam Jangra, Harshit Banga, Prabhat Kumar, and Piyush Gupta. "Predictive Traffic Modeling: A Machine Learning Approach to Time-Based Traffic Forecasting." International Journal of Research Publication and Reviews 6, sp5 (2025): 72–78. https://doi.org/10.55248/gengpi.6.sp525.1910.

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Baldev Singh, Dr, Dr S.N. Panda, and Dr Gurpinder Singh Samra. "Slow flooding attack detection in cloud using change point detection approach." International Journal of Engineering & Technology 7, no. 2.30 (2018): 33. http://dx.doi.org/10.14419/ijet.v7i2.30.13459.

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Cloud computing is one of the high-demand services and prone to numerous types of attacks due to its Internet based backbone. Flooding based attack is one such type of attack over the cloud that exhausts the numerous resources and services of an individual or an enterprise by way of sending useless huge traffic. The nature of this traffic may be of slow or fast type. Flooding attacks are caused by way of sending massive volume of packets of TCP, UDP, ICMP traffic and HTTP Posts. The legitimate volume of traffic is suppressed and lost in traffic flooding traffics. Early detection of such attack
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Wang, Ying, and Zongzhong Tian. "Efficient Original-Destination Bandwidth: A Novel Model for Arterial Traffic Signal Coordination." Journal Européen des Systèmes Automatisés 53, no. 5 (2020): 609–16. http://dx.doi.org/10.18280/jesa.530503.

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This paper proposes an efficient origin-estimation bandwidth (OD band) model, which provides dedicated progression bands for arterial traffic based on the real-time dynamic matrix of their estimated OD pairs. The innovations of the OD band model are as follows: First, the dynamics of through and turning-in/out traffics are analyzed based on the matrix of their estimated OD pairs, and used to generate the traffic movement sequence at continuous intersections; Second, the end-time of green interval for lag-lag phase sequence at continuous intersections is determined according to the relevant con
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Shi, Zhaolei, Nurbol Luktarhan, Yangyang Song, and Gaoqi Tian. "BFCN: A Novel Classification Method of Encrypted Traffic Based on BERT and CNN." Electronics 12, no. 3 (2023): 516. http://dx.doi.org/10.3390/electronics12030516.

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With the speedy advancement of encryption technology and the exponential increase in applications, network traffic classification has become an increasingly important research topic. Existing methods for classifying encrypted traffic have certain limitations. For example, traditional approaches such as machine learning rely heavily on feature engineering, deep learning approaches are susceptible to the amount and distribution of labeled data, and pretrained models focus merely on the global traffic features while ignoring local features. To solve the above problem, we propose a BERT-based byte
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XU, Yiquan, Jinyu GUO, Rui LUO, et al. "Refinement method of equivalent source power level determination for traffic noise in urban noise mapping." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 10 (2024): 1925–36. http://dx.doi.org/10.3397/in_2024_3105.

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For traffic noise prediction, the predictive models of source power level determination commonly in use are the Technical Guidelines for Noise Impact Assessment in China or the Calculation of Road Traffic Noise model in the United Kingdom, which incorporate traffic flow and car speeds. However, the accuracy of these models is often compromised due to urban traffic's complexity, vehicle diversity, and unforeseen events. This study investigates a refinement method based on noise on-site measurement and aforementioned approaches for equivalent source power level determination for traffic noise in
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P, Nwaerema, Fred-Nwagwu WF, and Dangana K. "Spatio-temporal variability of vehicular traffic, noise and temperature of Minna City, Niger State, Nigeria." MOJ Ecology & Environmental Sciences 7, no. 1 (2022): 7–9. http://dx.doi.org/10.15406/mojes.2022.07.00240.

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This study investigated spatio-temporal variability of vehicular traffic noise and temperature of Minna city, Niger State. The study used the 15 minutes Septa-Square technique to count the number of vehicles across the purposively selected junctions and round-abouts. The Noise Meter Level (Dosemeter) was used to generate the vehicular traffic noise at the selected junctions and roundabouts. The thermometer was used to capture the hotness of the selected roundabouts and junctions. The result of the study showed that Tunga Roundabout had 7032 vehicular counts, which was the highest vehicular tra
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