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Готові списки джерел за темами / Traffic flow reconstruction / Статті в журналах

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Статті в журналах з теми "Traffic flow reconstruction"

Автор: Grafiati

Опубліковано: 10 березня 2023

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1

Wilkie, David, Jason Sewall, and Ming Lin. "Flow reconstruction for data-driven traffic animation." ACM Transactions on Graphics 32, no. 4 (2013): 1–10. http://dx.doi.org/10.1145/2461912.2462021.

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2

Kriso, S., J. Peinke, R. Friedrich, and P. Wagner. "Reconstruction of dynamical equations for traffic flow." Physics Letters A 299, no. 2-3 (2002): 287–91. http://dx.doi.org/10.1016/s0375-9601(02)00288-8.

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3

Hu, Kong, Shun Ying Zhu, and Hong Wang. "The Research of Freeway Single Horn-B-Type Interchange Situ Reconstruction and Expansion Traffic Organization." Applied Mechanics and Materials 361-363 (August 2013): 1895–99. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.1895.

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Анотація:

Interchange is the important conversion node of freeway. In the process of Interchange reconstruction and expansion, how to ensure the traffic of Interchange in all directions operate normally, to reduce the impact of the construction on traffic flow and to ensure the security of the roads traffic flow smoothly is very crucially. Through analyzing the characteristics of the driver, road and traffic flow, to study and determine the Interchange situ reconstruction and expansion traffic organization plan and security measures during construction traffic organization.

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4

Bilotta, Stefano, and Paolo Nesi. "Traffic flow reconstruction by solving indeterminacy on traffic distribution at junctions." Future Generation Computer Systems 114 (January 2021): 649–60. http://dx.doi.org/10.1016/j.future.2020.08.017.

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5

Zhang, Xue Li. "Path Reconstruction of Intelligent Traffic Based on Positive Feedback System." Applied Mechanics and Materials 513-517 (February 2014): 3160–64. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3160.

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Traffic congestion are prevalent in worldwide cities. The imbalance between demand and supply of urban traffic is the root cause of this problem. So taking effective measures to regulate traffic demand, and guiding the traffic problems of the supply and demand balance is the best way to solve traffic congestion. This paper improves the TDM measure, and combines with intelligent information platform for the design of a new urban transport demand management adaptability of dynamic traffic data analysis platform. The platform supported by the technology of wireless sensor communications, intellig

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6

Bilotta, Stefano, and Paolo Nesi. "Estimating CO2 Emissions from IoT Traffic Flow Sensors and Reconstruction." Sensors 22, no. 9 (2022): 3382. http://dx.doi.org/10.3390/s22093382.

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CO2 emissions from burning fossil fuels make a relevant contribution to atmospheric changes and climate disruptions. In cities, the contribution by traffic of CO2 is very relevant, and the general CO2 estimation can be computed (i) on the basis of the fuel transformation in energy using several factors and efficiency aspects of engines and (ii) by taking into account the weight moved, distance, time, and emissions factor of each specific vehicle. Those approaches are unsuitable for understanding the impact of vehicles on CO2 in cities since vehicles produce CO2 depending on their specific effi

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7

Tang, Wenyun, Jiahui Chen, Chao Sun, Hanbing Wang, and Gen Li. "Traffic Demand Estimations Considering Route Trajectory Reconstruction in Congested Networks." Algorithms 15, no. 9 (2022): 307. http://dx.doi.org/10.3390/a15090307.

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Traffic parameter characteristics in congested road networks are explored based on traffic flow theory, and observed variables are transformed to a uniform format. The Gaussian mixture model is used to reconstruct route trajectories based on data regarding travel routes containing only the origin and destination information. Using a bi-level optimization framework, a Bayesian traffic demand estimation model was built using route trajectory reconstruction in congested networks. Numerical examples demonstrate that traffic demand estimation errors, without considering a congested network, are wit

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8

Haj-Salem, H., and J. P. Lebacque. "Reconstruction of False and Missing Data with First-Order Traffic Flow Model." Transportation Research Record: Journal of the Transportation Research Board 1802, no. 1 (2002): 155–65. http://dx.doi.org/10.3141/1802-18.

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In previous studies, two traffic data-cleaning algorithms were developed at the Institut National de Recherche sur les Transports on the basis of filtering techniques and statistical approaches. Because of their mathematical structure (linearity of the process), both algorithms present a high level of inaccuracy in the case of nonhomogeneous traffic conditions at the location of the measurement stations (for example, free flow upstream and congestion downstream, or vice versa). A new algorithm for solving the traffic data-cleaning problem on the basis of real-time application of a dynamic firs

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9

Zhu, Huai Zhong, Shun Ying Zhu, Yu Wu, and Shuang Deng. "Evaluation of Traffic Organization Scheme during Highway Reconstruction Period." Applied Mechanics and Materials 361-363 (August 2013): 2007–11. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.2007.

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Анотація:

An appropriate traffic organization scheme of highway reconstruction can ensure the normal operation of the traffic flow, and reduce the influence of reconstruction. Based on evaluation principles, this paper will analysis and screen index systems such as level of service, negative economic benefit and traffic environmental impact. The evaluation criterion of each index will be ascertained based on existing research results of level of service for highway. Then an integrated approach combined with dynamic comprehensive evaluation and analytic hierarchy process is proposed to evaluate the traff

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10

Hui, Meng, Lin Bai, YanBo Li, and QiSheng Wu. "Highway Traffic Flow Nonlinear Character Analysis and Prediction." Mathematical Problems in Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/902191.

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Анотація:

In order to meet the highway guidance demand, this work studies the short-term traffic flow prediction method of highway. The Yu-Wu highway which is the main road in Chongqing, China, traffic flow time series is taken as the study object. It uses phase space reconstruction theory and Lyapunov exponent to analyze the nonlinear character of traffic flow. A new Volterra prediction method based on model order reduction via quadratic-linear systems (QLMOR) is applied to predict the traffic flow. Compared with Taylor-expansion-based methods, these QLMOR-reduced Volterra models retain more informatio

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11

Mrgole, Anamarija L., and Drago Sever. "Incorporation of Duffing Oscillator and Wigner-Ville Distribution in Traffic Flow Prediction." PROMET - Traffic&Transportation 29, no. 1 (2017): 13–22. http://dx.doi.org/10.7307/ptt.v29i1.2116.

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Анотація:

The main purpose of this study was to investigate the use of various chaotic pattern recognition methods for traffic flow prediction. Traffic flow is a variable, dynamic and complex system, which is non-linear and unpredictable. The emergence of traffic flow congestion in road traffic is estimated when the traffic load on a specific section of the road in a specific time period is close to exceeding the capacity of the road infrastructure. Under certain conditions, it can be seen in concentrating chaotic traffic flow patterns. The literature review of traffic flow theory and its connection wit

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12

Rodriguez-Vega, Martin, Carlos Canudas-de-Wit, and Hassen Fourati. "Location of turning ratio and flow sensors for flow reconstruction in large traffic networks." Transportation Research Part B: Methodological 121 (March 2019): 21–40. http://dx.doi.org/10.1016/j.trb.2018.12.005.

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13

Hou, Yue, Da Li, Di Zhang, and Zhiyuan Deng. "An Improved Phase Space Reconstruction Method-Based Hybrid Model for Chaotic Traffic Flow Prediction." Discrete Dynamics in Nature and Society 2022 (September 23, 2022): 1–22. http://dx.doi.org/10.1155/2022/5604674.

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Анотація:

Traffic flow is chaotic due to nonstationary realistic factors, and revealing the internal nonlinear dynamics of chaotic data and making high-accuracy predictions is the key to traffic control and inducement. Given that high-quality phase space reconstruction is the foundation of predictive modeling. Firstly, an improved C-C method based on the fused norm search domain is proposed to address the issue that the C-C method in the phase space reconstruction algorithm does not meet the Euclidean metric accuracy and reduces the reconstruction quality when the infinite norm metric is used. Secondly,

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14

Wu, Ke Man, and Lian De Zhong. "Established Methods of Space between Expressway Work Zones Based on Delay of Expressway." Applied Mechanics and Materials 409-410 (September 2013): 1374–78. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.1374.

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Via microscopic traffic flow simulation, based on the theory of traffic capacity and queue delay of vehicles on work zones and relying on the Reconstruction and Widening of Fekai Expressway, the paper gives suggested values of minimum space between adjacent work zones in the same direction under different traffic volumes and traffic compositions for references, during the construction of a two-way-8-lane highway with half road way closed. The result can promote work zone traffic safety.

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15

Wang, Xiaoquan, Wenjun Li, Chaoying Yin, Shaoyu Zeng, and Peng Liu. "A multiple-parameter approach for short-term traffic flow prediction." Modern Physics Letters B 35, no. 14 (2021): 2150245. http://dx.doi.org/10.1142/s0217984921502456.

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This study proposes a short-term traffic flow prediction approach based on multiple traffic flow basic parameters, in which the chaos theory and support vector regression are utilized. First, a high-dimensional variable space can be obtained according to the traffic flow fundamental function. Then, a maximum conditional entropy method is proposed to determine the embedding dimension. And multiple time series are reconstructed based on the phase space reconstruction theory using the time delay obtained by mutual information method and the embedding dimension captured by the maximum conditional

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16

Boyarshinov, M. G., A. S. Vavilin, and A. G. Shumkov. "FOURIER ANALYSIS OF THE TRAFFIC FLOW INTENSITY." Intelligence. Innovations. Investment, no. 4 (2021): 46–59. http://dx.doi.org/10.25198/2077-7175-2021-4-46.

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Анотація:

The relevance of this work is determined by the need to find modern ways to process the information about traffic flows for regulating and controlling the movement of transport and pedestrians, to reduce congestion, road accidents, etc. The object of study is a part of road with heavy two-way traffic, equipped with a software and hardware complex that allows to measure the characteristics of the transport flow. The subject of the study is the daily intensity of the cars flow during the week, from Monday to Sunday. The purpose of this study is to analyze the amplitudes, frequencies, and periods

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17

Boyarshinov, M. G., A. S. Vavilin, and A. G. Shumkov. "USING THE COMPLEX OF PHOTO AND VIDEO RECORDING OF TRAFFIC VIOLATIONS TO IDENTIFY DETERMINISTIC AND STOCHASTIC COMPONENTS OF THE TRAFFIC FLOW INTENSITY." Intelligence. Innovations. Investment, no. 3 (2021): 61–71. http://dx.doi.org/10.25198/2077-7175-2021-3-61.

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The relevance of the manuscript is due to the need to process and analyze the information accumulated by the complexes of photo-video recording of traffic violations, which will further develop mathematical, computational and simulation models of road transport, solve problems of optimization and management of traffic flows, make management decisions to reduce the number of congestion and reduce the anthropogenic load on the environment. The object of the study is a part of a three-lane road with heavy one-way traffic, equipped with a software and technical complex that allows measuring the ma

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18

Xie, Tao, and Qinshou Huang. "Demonstration and analysis of urban bridge reconstruction under the concept of sustainable development." Advances in Engineering Technology Research 3, no. 1 (2022): 15. http://dx.doi.org/10.56028/aetr.3.1.15.

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Urban bridge across the river as an important urban traffic arteries, the completion of the bridge changes the traffic conditions, industrial layout and urban planning, and provides opportunities and development power for economic development. With the rapid growth of urban expansion and traffic volume, the contradiction between the demand of urban road traffic flow and the carrying capacity of road network is becoming increasingly prominent, and the capacity of some Bridges across the river can not meet the growing travel needs of the people, becoming the traffic bottleneck of urban traffic.

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19

Li, Na, Ze Wu, and Zhongbiao Zhao. "Application of Internet of Things Compressed Sensing and Information Interaction Technology in Intelligent Transportation Layout." Scientific Programming 2021 (April 23, 2021): 1–11. http://dx.doi.org/10.1155/2021/9979198.

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With the continuous development of economy, the number of motor vehicles has increased sharply, and urban traffic congestion has become more and more frequent. Urban traffic congestion has become one of the important reasons that hinder the continuous development of major cities. In order to better solve the problem of urban traffic congestion, it is more urgent to build urban intelligent transportation system. The technology related to Internet of things is becoming more and more mature, which has become a new idea of collecting traffic information, providing convenience for traffic, and inje

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20

Wang, Zhanzhong, Ruijuan Chu, Minghang Zhang, Xiaochao Wang, and Siliang Luan. "An Improved Hybrid Highway Traffic Flow Prediction Model Based on Machine Learning." Sustainability 12, no. 20 (2020): 8298. http://dx.doi.org/10.3390/su12208298.

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For intelligent transportation systems (ITSs), reliable and accurate real-time traffic flow prediction is an important step and a necessary prerequisite for alleviating traffic congestion and improving highway operation efficiency. In this paper, we propose an improved hybrid predicting model including two steps: decomposition and prediction to predict highway traffic flow. First, we adopted the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method to adaptively decompose the original nonlinear, nonstationary, and complex highway traffic flow data. Then, we used t

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21

Zhou, Jingmei, Hui Chang, Xin Cheng, and Xiangmo Zhao. "A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model." Complexity 2020 (June 17, 2020): 1–17. http://dx.doi.org/10.1155/2020/1434080.

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Short-term traffic flow has the characteristics of complex, changeable, strong timeliness, and so on. So the traditional prediction algorithm is difficult to meet its high real-time and accuracy requirements. In this paper, a multiscale and high-precision LSTM-GASVR short-term traffic flow prediction algorithm is proposed. This method uses 15 min traffic flow data of the first 16 sections as input and completes the data preprocessing operation through reconstruction, normalization, and rising dimension by working day factor; establishing the prediction model based on the long- and short-term m

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22

Sivilevičius, Henrikas, Gražvydas Paliulis, Antanas Klibavičius, and Vytautas Palevičius. "Research on the operation of roundabouts based on the sustainable development principles." Baltic Journal of Road and Bridge Engineering 10, no. 2 (2015): 166–73. http://dx.doi.org/10.3846/bjrbe.2015.21.

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The main elements of urban transport infrastructure include: the street network with intersections, bridges, viaducts, flyovers, vehicular traffic tunnels. Unsignalized four-leg intersections and roundabouts is the largest “saturated transport flow” of the street network. Roundabouts which were designed as far back as 1970–1980 were well-functioning when the car ownership level was 180–200 veh/1000 inhabitants. Currently, when the level of car ownership comes to 520–560 veh/1000 inhabitants, unsignalized roundabouts operate in the “oversaturated flows” regime. The research results of the Vilni

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23

Liu, X., Y. Zhang, and Q. Li. "AUTOMATIC PEDESTRIAN CROSSING DETECTION AND IMPAIRMENT ANALYSIS BASED ON MOBILE MAPPING SYSTEM." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W4 (September 13, 2017): 251–58. http://dx.doi.org/10.5194/isprs-annals-iv-2-w4-251-2017.

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Pedestrian crossing, as an important part of transportation infrastructures, serves to secure pedestrians’ lives and possessions and keep traffic flow in order. As a prominent feature in the street scene, detection of pedestrian crossing contributes to 3D road marking reconstruction and diminishing the adverse impact of outliers in 3D street scene reconstruction. Since pedestrian crossing is subject to wearing and tearing from heavy traffic flow, it is of great imperative to monitor its status quo. On this account, an approach of automatic pedestrian crossing detection using images from vehicl

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24

Qin, Zhong, Guang Ting Su, Dong Hui Li, Yu Mei, Yi Wei He, and Qing Sen Chen. "Vehicle Segmentation Approach Based on the Space-Time and Self-Similarity of Background." Advanced Materials Research 179-180 (January 2011): 115–21. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.115.

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Vehicle segmentation is the key of the traffic video image analysis, the movement state of vehicles can be understudied to get traffic flow parameters. Based on the traffic scene characterized by gradual change, the paper present the background model reconstruction with time-space and self-similarity of background. Video frame image is differenced from background, and binary to get the vehicle template. According to the template, movement vehicle will be segmented from it, the results of the experiment confirmed the effectiveness of algorithm.

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25

Lu, Liang Fu, Zheng-Hai Huang, Mohammed A. Ambusaidi, and Kui-Xiang Gou. "A Large-Scale Network Data Analysis via Sparse and Low Rank Reconstruction." Discrete Dynamics in Nature and Society 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/323764.

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With the rapid growth of data communications in size and complexity, the threat of malicious activities and computer crimes has increased accordingly as well. Thus, investigating efficient data processing techniques for network operation and management over large-scale network traffic is highly required. Some mathematical approaches on flow-level traffic data have been proposed due to the importance of analyzing the structure and situation of the network. Different from the state-of-the-art studies, we first propose a new decomposition model based on accelerated proximal gradient method for pa

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26

Růžička, J., J. Kruntorád, and R. Rek. "Microsimulation of pedestrian conflict with other transport modes." IOP Conference Series: Earth and Environmental Science 900, no. 1 (2021): 012038. http://dx.doi.org/10.1088/1755-1315/900/1/012038.

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Abstract An effective solution of the conflict points of different transport modes is a significant issue at the urban level today. With the permanent increase of traffic in cities, it is necessary to look for suitable and sustainable transport solutions to these situations, so that the traffic flow is smooth and the transport remains safe, ecological and economical. The paper deals with the design of a simple decision-making tool for selecting the solution of pedestrian conflict with other traffic modes (classical pedestrian crossing, controlled pedestrian crossing for defined pedestrian and

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27

Li, Dazhou, Chuan Lin, Wei Gao, Zeying Chen, Zeshen Wang, and Guangqi Liu. "Capsules TCN Network for Urban Computing and Intelligence in Urban Traffic Prediction." Wireless Communications and Mobile Computing 2020 (June 4, 2020): 1–15. http://dx.doi.org/10.1155/2020/6896579.

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Predicting urban traffic is of great importance to smart city systems and public security; however, it is a very challenging task because of several dynamic and complex factors, such as patterns of urban geographical location, weather, seasons, and holidays. To tackle these challenges, we are stimulated by the deep-learning method proposed to unlock the power of knowledge from urban computing and proposed a deep-learning model based on neural network, entitled Capsules TCN Network, to predict the traffic flow in local areas of the city at once. Capsules TCN Network employs a Capsules Network a

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28

Han, Fengqing. "Short-term Traffic Flow Prediction Based on Multivariable Phase Space Reconstruction and LSSVM." Journal of Information and Computational Science 11, no. 9 (2014): 3209–17. http://dx.doi.org/10.12733/jics20103884.

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29

Bąkowski, Andrzej, and Leszek Radziszewski. "Measurements of urban traffic parameters before and after road reconstruction." Open Engineering 11, no. 1 (2021): 365–76. http://dx.doi.org/10.1515/eng-2021-0035.

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Abstract The study analyzed the parameters of vehicle traffic and noise on the national road in the section in the city from 2011 to 2016. In 2013–2014 this road was reconstructed. It was found that in most cases, the distribution of the tested variable was not normal. The median and selected percentiles of vehicle traffic parameters and noise were examined. The variability and type A uncertainty of the results were described and evaluated. The results obtained for the data recorded on working and non-working days were compared. The vehicle cumulative speed distributions, for two-way four-lane

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30

Cheng, Shuang, Shun Ying Zhu, Hong Wang, and Bing Liu. "The Rational Construction Length Alternately by Subsections of the Reconstruction Project of Freeway." Applied Mechanics and Materials 178-181 (May 2012): 1433–37. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.1433.

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In order to ensure the quality of the reconstruction project of freeway as well as the traffic efficiency without breaking down the traffic, it is crucially important to arrange the work zone length alternately by sub-ways and subsections. The simulation method of transportation is adopted for Microscopic of the transportation situation under various length of work zone. Based on the results of the simulation, the stability, efficiency and safety of traffic flow are evaluated and analyzed comprehensively. The balance point among these three factors is determinated by the method of fuzzy compre

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31

Zhang, Zhaoyue, An Zhang, Cong Sun, Shuaida Xiang, and Shanmei Li. "Data-Driven Analysis of the Chaotic Characteristics of Air Traffic Flow." Journal of Advanced Transportation 2020 (September 18, 2020): 1–17. http://dx.doi.org/10.1155/2020/8830731.

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Understanding the chaos of air traffic flow is significant to the achievement of advanced air traffic management, and trajectory data are the basic material for studying the chaotic characteristics. However, at present, there are two main obstacles to this task, namely, large amounts of noise in the measured data and the tedium of existing data processing methods. This paper improves the incorrect trajectory processing method based on ADS-B trajectory data and proposes a method by which to quickly extract the traffic flow through a certain waypoint. Currently, the commonly used theoretical ana

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32

Yuan, Sheng, Yuting Chen, Huihui Huo, and Li Zhu. "Analysis and Synthesis of Traffic Scenes from Road Image Sequences." Sensors 20, no. 23 (2020): 6939. http://dx.doi.org/10.3390/s20236939.

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Traffic scene construction and simulation has been a hot topic in the community of intelligent transportation systems. In this paper, we propose a novel framework for the analysis and synthesis of traffic elements from road image sequences. The proposed framework is composed of three stages: traffic elements detection, road scene inpainting, and road scene reconstruction. First, a new bidirectional single shot multi-box detector (BiSSD) method is designed with a global context attention mechanism for traffic elements detection. After the detection of traffic elements, an unsupervised CycleGAN

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33

Kumar, Ashutosh, Takehiro Kashiyama, Hiroya Maeda, Hiroshi Omata, and Yoshihide Sekimoto. "Real-time citywide reconstruction of traffic flow from moving cameras on lightweight edge devices." ISPRS Journal of Photogrammetry and Remote Sensing 192 (October 2022): 115–29. http://dx.doi.org/10.1016/j.isprsjprs.2022.07.022.

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34

Wang, Shuying, Yinong Zhang, En Fu, and Shaohu Tang. "Multiscale Backcast Convolution Neural Network for Traffic Flow Prediction in The Frequency Domain." Applied Sciences 12, no. 23 (2022): 11912. http://dx.doi.org/10.3390/app122311912.

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Анотація:

With the construction of intelligent transportation systems in recent years, intelligent methods for the prediction of traffic flow are becoming more and more important, and accurate prediction plays a key role in enabling downstream scheduling algorithms. However, the accuracy of most current forecasting algorithms remains unsatisfactory. Because traffic depends on the time of the day and varies throughout the week, such as during peak commuting periods as opposed to other times, traffic flow data show evident cyclical patterns. We capitalize on this notion and propose a multiscale convolutio

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35

Jandacka, Dusan, Martin Decky, Katarina Hodasova, Peter Pisca, and Dusan Briliak. "Influence of the Urban Intersection Reconstruction on the Reduction of Road Traffic Noise Pollution." Applied Sciences 12, no. 17 (2022): 8878. http://dx.doi.org/10.3390/app12178878.

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The authors present the unsolved issue of the contextual design of urban intersections (UI) from the point of view of traffic noise emissions around residential buildings in the Slovak context. Noise barriers are very rarely used in urban areas, due to such reasons as lack of space for their installation, traffic safety (view at intersections), architectural factors, as well as the fact that they represent a barrier for pedestrians and cyclists. The use of low-noise asphalt pavements is limited in urban areas primarily due to the high cost of production and maintenance of these covers, their l

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36

Sekimoto, Yoshihide, Atsuto Watanabe, Toshikazu Nakamura, Hiroshi Kanasugi, and Tomotaka Usui. "Combination of spatio-temporal correction methods using traffic survey data for reconstruction of people flow." Pervasive and Mobile Computing 9, no. 5 (2013): 629–42. http://dx.doi.org/10.1016/j.pmcj.2012.10.005.

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Bhavani, Yerram, Vinjamuri Janaki, and Rangu Sridevi. "IP Traceback using Flow Based Classification." Recent Advances in Computer Science and Communications 13, no. 3 (2020): 482–90. http://dx.doi.org/10.2174/2213275912666190328200635.

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Background:Distributed Denial of Service (DDoS) attack is a major threat over the internet. The IP traceback mechanism defends against DDoS attacks by tracing the path traversed by attack packets. The existing traceback techniques proposed till now are found with few short comings. The victim required many number of packets to trace the attack path. The requirement of a large number of packets resulted in more number of combinations and more false positives.Methods:To generate a unique value for the IP address of the routers in the attack path Chinese Remainder theorem is applied. This helped

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38

Al-Mansour, Abdullah, Kang-Won Wayne Lee, and Abdulraaof H. Al-Qaili. "Prediction of Pavement Maintenance Performance Using an Expert System." Applied Sciences 12, no. 10 (2022): 4802. http://dx.doi.org/10.3390/app12104802.

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The pavement experiences deterioration due to traffic and environment, i.e., unsatisfactory riding quality and structural inadequacy, over time. Thus, predicting pavement performance over time is one of the key elements of any pavement maintenance management system (PMMS). It can be used as an efficient tool to program/schedule the maintenance applications and expenditures, and thus the necessary funds can be allocated. Using a combination of independent variables for any selected pavement section can generate section-wise condition assessment and prediction models. Moreover, these models can

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39

Wang, Xiaoyuan, Jianqiang Wang, Zhenxue Liu, Yaqi Liu, and Jingheng Wang. "Study on Reverse Reconstruction Method of Vehicle Group Situation in Urban Road Network Based on Driver-Vehicle Feature Evolution." Mathematical Problems in Engineering 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/1615691.

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Vehicle group situation is the status and situation of dynamic permutation which is composed of target vehicle and neighboring traffic entities. It is a concept which is frequently involved in the research of traffic flow theory, especially the active vehicle security. Studying vehicle group situation in depth is of great significance for traffic safety. Three-lane condition was taken as an example; the characteristics of target vehicle and its neighboring vehicles were synthetically considered to restructure the vehicle group situation in this paper. The Gamma distribution theory was used to

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40

Shao, Yang, Zhongbin Luo, Huan Wu, et al. "Evaluation of Two Improved Schemes at Non-Aligned Intersections Affected by a Work Zone with an Entropy Method." Sustainability 12, no. 14 (2020): 5494. http://dx.doi.org/10.3390/su12145494.

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The impact of work zones on traffic is a common problem encountered in traffic management. The reconstruction of roads is inevitable, and it is necessary and urgent to reduce the impact of the work zone on the operation of traffic. There are many existing research results on the influence of highway work zones, including management strategies, traffic flow control strategies, and various corresponding model theories. There are also many research results on the impacts of urban road and subway construction on traffic operation, including construction efficiency, economic impact, and travel matr

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41

Niu, Wei-Na, Jiao Xie, Xiao-Song Zhang, et al. "HTTP-Based APT Malware Infection Detection Using URL Correlation Analysis." Security and Communication Networks 2021 (April 7, 2021): 1–12. http://dx.doi.org/10.1155/2021/6653386.

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APT malware exploits HTTP to establish communication with a C & C server to hide their malicious activities. Thus, HTTP-based APT malware infection can be discovered by analyzing HTTP traffic. Recent methods have been dependent on the extraction of statistical features from HTTP traffic, which is suitable for machine learning. However, the features they extract from the limited HTTP-based APT malware traffic dataset are too simple to detect APT malware with strong randomness insufficiently. In this paper, we propose an innovative approach which could uncover APT malware traffic related to

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42

Ge, Yong Gang, Qiang Zou, Jian Qiang Zhang, and Xiao Jun Guo. "Hazards on Dujiangyan-Wenchuan Highways Induced by Catastrophic Debris Flows on July 10 2013 and Prevention." Applied Mechanics and Materials 501-504 (January 2014): 2463–72. http://dx.doi.org/10.4028/www.scientific.net/amm.501-504.2463.

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After the Wenchuan Earthquake on May 12 2008, the highways from Dujiangyan to Wenchuan, a crucial passage from Chengdu to Sichuan Western Plateau and Gansu province, are always seriously endangered by landslides, debris flows and their following hazards. Hundreds of debris flows from watersheds, gullies and slopes on July 10 2013 produced fatal hazards and destruction on the Highway G213 and the Express Highway from Yingxiu to Wenchuan. The debris flows are characterized by numerous-occurrence, large flux (645~2238m3/s) and large magnitude (5~126×104m3) as well as the hazard chain process whic

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43

Liu, Jianguo, Ze Chen, and Huiming Zhang. "Study on Safety Guarantee Measures for the Same-direction Separated Subgrade Section." Highlights in Science, Engineering and Technology 18 (November 13, 2022): 48–51. http://dx.doi.org/10.54097/hset.v18i.2566.

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In the reconstruction and expansion of the expressway, due to factors such as resource utilization of original roads, economic applicability, adaptation to local conditions, and construction organization, the method of reconstruction and expansion and widening is restricted. The widening method of half-width utilization of the original road and half-width newly built in the same direction is adopted, forming the separated subgrade section in the same direction. Based on the implementation plans of different expressway reconstruction and expansion projects, this paper analyzes and studies the c

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44

Pan, Binghong, Shangru Liu, Zhenjiang Xie, Yang Shao, Xiang Li, and Ruicheng Ge. "Evaluating Operational Features of Three Unconventional Intersections under Heavy Traffic Based on CRITIC Method." Sustainability 13, no. 8 (2021): 4098. http://dx.doi.org/10.3390/su13084098.

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Conventional four-legged intersections are inefficient under heavy traffic requirements and are prone to congestion problems. Unconventional intersections with innovative designs allow for more efficient traffic operations and can increase the capacity of the intersection, in some cases. Common unconventional designs for four-legged intersections include the upstream signalized crossover intersection (USC), continuous flow intersection (CFI), and parallel flow intersection (PFI). At present, an increasing number of cities are using such unconventional designs to improve the performance of thei

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45

Lee, Eul-Bum, Hojung Lee, and Massod Akbarian. "Accelerated Pavement Rehabilitation and Reconstruction with Long-Life Asphalt Concrete on High-Traffic Urban Highways." Transportation Research Record: Journal of the Transportation Research Board 1905, no. 1 (2005): 56–64. http://dx.doi.org/10.1177/0361198105190500106.

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Rehabilitation of urban highways is a critical issue confronting the California Department of Transportation because the state has a significant inventory of overaged, heavily trafficked urban highways showing extensive signs of distress. This paper presents the innovative pavement rehabilitation technologies and techniques that the agency applied in the first asphalt concrete (AC) project for its Long-Life Pavement Rehabilitation Strategies (LLPRS) program. A 4.4-km stretch of deteriorated concrete pavement on I-710 in Long Beach was rehabilitated successfully with 230 mm of AC overlay or 325

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46

Lakušić, Stjepan, Davor Brčić, and Višnja Tkalčević Lakušić. "Analysis of Vehicle Vibrations – New Approach to Rating Pavement Condition of Urban Roads." PROMET - Traffic&Transportation 23, no. 6 (2012): 485–94. http://dx.doi.org/10.7307/ptt.v23i6.183.

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Urban road infrastructure is daily burdened by heavy traffic volume. Pavement structure roughness observations are significantly more difficult in urban agglomerations than on roads in unpopulated areas. Roughness, expressed by IRI (International Roughness Index), directly affects the quality and safety of road traffic. Within the framework of the pavement management in relation to safety and the achievement of the best possible ride comfort, it is very important to foresee when a road should be reconstructed. The method for quality evaluations of safety and ride comfort on urban roads present

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47

Xu, Su Ning, Dian Zhang, and Cong Cao. "City Transportation Hub Region Planning Based on the Urban Design Integrating Strategy: A Case Study of Conceptual Reform Design of the Changchun Railway Station North Area." Applied Mechanics and Materials 209-211 (October 2012): 763–66. http://dx.doi.org/10.4028/www.scientific.net/amm.209-211.763.

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Abstract. With the rapid urbanization and development in China, reconstruction and construction for the comprehensive transportation hub of the railway station area is underway in most city. The paper used the conceptual reform design of Changchun railway station north area as example, to describe that how to improve integral image and environmental quality by urban design integrating strategy. The purpose is to maximize the function of the transport hub area and to reach reasonable evacuation traffic flow, thus create a transit-oriented composite development project with dynamic and sustainab

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48

Zu, Fajin, Chao Du, Chunpeng Han, Lanyu Xu, and Qiuying Peng. "Applicable Conditions of Room-and-Pillar Mining Goaf Treatment Methods under a Traffic Load." Applied Sciences 13, no. 3 (2023): 2024. http://dx.doi.org/10.3390/app13032024.

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The disturbance depth of traffic load has a direct impact on the stability of a room-and-pillar mining goaf. To quantitatively calculate the relationship between the traffic load disturbance depth and influencing factors, 49 groups of horizontal combinations of different influencing parameters are designed in this study, based on the orthogonal experimental design method. Midas GTS is used to simulate and obtain the corresponding traffic load disturbance depth data. A multivariate linear regression analysis of the traffic load disturbance depth is conducted, and a regression formula for calcul

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49

Leontiev, D. N., A. V. Ihnatenko, O. V. Synkovska, et al. "Fuel Consumption of Wheeled Vehicle and Transportation Costs during Highway Construction/Reconstruction." Science & Technique 20, no. 6 (2021): 522–27. http://dx.doi.org/10.21122/2227-1031-2021-20-6-522-527.

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A method is proposed for determining the fuel consumption of a wheeled vehicle depending on its speed, road surface flatness and road slope in the longitudinal direction. The purpose of the research is to derive mathematical relationships for calculating the fuel consumption of vehicles, which is one of the transport cost factors during the construction/reconstruction or overhaul of a highway. The proposed polynomial dependencies for calculating fuel in addition to vehicle speed, road surface flatness and its longitudinal slope take into account the mass-dimensional parameters of vehicles invo

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Kim, Young-Mok, Young-Gil Kim, Seung-Yong Son, Soo-Yeon Lim, Bong-Yeol Choi, and Doo-Hyun Choi. "Review of Recent Automated Pothole-Detection Methods." Applied Sciences 12, no. 11 (2022): 5320. http://dx.doi.org/10.3390/app12115320.

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Potholes, a kind of road defect, can damage vehicles and negatively affect drivers’ safe driving, and in severe cases can lead to traffic accidents. Efficient and preventive management of potholes in a complex road environment plays an important role in securing driver safety. It is also expected to contribute to the prevention of traffic accidents and the smooth flow of traffic. In the past, pothole detection was mainly performed via visual inspection by human experts. Recently, automated pothole-detection methods apply various technologies that converge basic technologies such as sensors and

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