一、SCI 5条
*Record 1 of 5. Search terms matched: CHONGQING 400074(1); CHONGQING JIAOTONG(1)
*Click Here to View Full Record
*Order Full Text [ ]
Title: Synchronization of fractional-order memristor-based complex-valued neural networks with uncertain parameters and time delays
Authors: Yang, XJ; Li, CD; Huang, TW; Song, QK; Huang, JJ
Author Full Names: Yang, Xujun; Li, Chuandong; Huang, Tingwen; Song, Qiankun; Huang, Junjian
Source: CHAOS SOLITONS & FRACTALS, 110 105-123; 10.1016/j.chaos.2018.03.016 MAY 2018
Language: English
Abstract: This paper talks about the global asymptotical synchronization problem of delayed fractional-order memristor-based complex-valued neural networks with uncertain parameters. Under the framework of Filippov solution and differential inclusion theory, several sufficient criteria ensuring the global asymptotical synchronization for the addressed drive-response models are derived, by means of Lyapunov direct method and comparison theorem. In addition, two numerical examples are designed to verify the correctness and effectiveness of the theoretical results. (C) 2018 Elsevier Ltd. All rights reserved.
ISSN: 0960-0779
eISSN: 1873-2887
IDS Number: GG6AQ
Unique ID: WOS:000432778300013
*Record 2 of 5. Search terms matched: CHONGQING JIAOTONG(1)
*Click Here to View Full Record
*Order Full Text [ ]
Title: Cumulative effects of cascade hydropower stations on total dissolved gas supersaturation
Authors: Ma, Q; Li, R; Feng, JJ; Lu, JY; Zhou, Q
Author Full Names: Ma, Qian; Li, Ran; Feng, Jingjie; Lu, Jingying; Zhou, Qin
Source: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 25 (14):13536-13547; SI 10.1007/s11356-018-1496-2 MAY 2018
Language: English
Abstract: Elevated levels of total dissolved gas (TDG) may occur downstream of dams during the spill process. These high levels would increase the incidence of gas bubble disease in fish and cause severe environmental impacts. With increasing numbers of cascade hydropower stations being built or planned, the cumulative effects of TDG supersaturation are becoming increasingly prominent. The TDG saturation distribution in the downstream reaches of the Jinsha River was studied to investigate the cumulative effects of TDG supersaturation resulting from the cascade hydropower stations. A comparison of the effects of the joint operation and the single operation of two hydropower stations (XLD and XJB) was performed to analyze the risk degree to fish posed by TDG supersaturation. The results showed that water with supersaturated TDG generated at the upstream cascade can be transported to the downstream power station, leading to cumulative TDG supersaturation effects. Compared with the single operation of XJB, the joint operation of both stations produced a much higher TDG saturation downstream of XJB, especially during the non-flood discharge period. Moreover, the duration of high TDG saturation and the lengths of the lethal and sub-lethal areas were much higher in the joint operation scenario, posing a greater threat to fish and severely damaging the environment. This work provides a scientific basis for strategies to reduce TDG supersaturation to the permissible level and minimize the potential risk of supersaturated TDG.
ISSN: 0944-1344
eISSN: 1614-7499
IDS Number: GG9RK
Unique ID: WOS:000433038500029
PubMed ID: 29492821
*Record 3 of 5. Search terms matched: CHONGQING 400074(2); CHONGQING JIAOTONG(2)
*Click Here to View Full Record
*Order Full Text [ ]
Title: Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data
Authors: Peng, JS; Shao, YM
Author Full Names: Peng, Jinshuan; Shao, Yiming
Source: COMPLEXITY, 10.1155/2018/1801273 2018
Language: English
Abstract: Risky driving behavior is a major cause of traffic conflicts, which can develop into road traffic accidents, making the timely and accurate identification of such behavior essential to road safety. A platform was therefore established for analyzing the driving behavior of 20 professional drivers in field tests, in which overclose car following and lane departure were used as typical risky driving behaviors. Characterization parameters for identification were screened and used to determine threshold values and an appropriate time window for identification. A neural network-Bayesian filter identification model was established and data samples were selected to identify risky driving behavior and evaluate the identification efficiency of the model. The results obtained indicated a successful identification rate of 83.6% when the neural network model was solely used to identify risky driving behavior, but this could be increased to 92.46% once corrected by the Bayesian filter. This has important theoretical and practical significance in relation to evaluating the efficiency of existing driver assist systems, as well as the development of future intelligent driving systems.
ISSN: 1076-2787
eISSN: 1099-0526
Article Number: 1801273
IDS Number: GH3ZG
Unique ID: WOS:000433341200001
*Record 4 of 5. Search terms matched: CHONGQING 400074(4); CHONGQING JIAOTONG(4)
*Click Here to View Full Record
*Order Full Text [ ]
Title: Application of Wavelet and EEMD Joint Denoising in Nonlinear Ultrasonic Testing of Concrete
Authors: Nie, ZC; Wang, K; Zhao, MJ
Author Full Names: Nie, Zhichao; Wang, Kui; Zhao, Mingjie
Source: ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 10.1155/2018/7872036 2018
Language: English
Abstract: The health state of concrete is deteriorating during its service. Nonlinear ultrasonic detection based on the amplitude of the fundamental and the second harmonic is considered to be a powerful tool for the discovery of the microcrack in concrete. However, the research on processing the nonlinear ultrasonic signal is still insufficient. In order to highlight the real frequency domain components in the nonlinear ultrasonic signal, wavelet and ensemble empirical mode decomposition (EEMD) were joined to denoise the numerical and measured signal. The optimal wavelet base and the decomposition level were determined by the signal-to-noise ratios (SNRs). Then, the wavelet threshold denoising signal was decomposed by EEMD, omitting the high-frequency components and ultimately achieving the desired denoising effect. The denoising result of the test signals demonstrates that this method is effective in denoising the details of the ultrasonic signal and improving the reliability and adaptability of the nonlinear ultrasonic testing. In this experiment, the concrete with the microcrack was tested by linear and nonlinear ultrasonic methods. Based on the variation regularity of the nonlinear ultrasonic coefficient and velocity , we can conclude that the nonlinear ultrasonic parameter is more sensitive to the microcrack in concrete than the traditional wave velocity . The nonlinear ultrasonic testing can be an important supplement to the current nondestructive testing technique of the concrete.
ISSN: 1687-8434
eISSN: 1687-8442
Article Number: 7872036
IDS Number: GH3KW
Unique ID: WOS:000433302400001
*Record 5 of 5. Search terms matched: CHONGQING 400074(2); CHONGQING JIAOTONG(2)
*Click Here to View Full Record
*Order Full Text [ ]
Title: Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization
Authors: Wang, Y; Yuan, YY; Assogba, K; Gong, K; Wang, HZ; Xu, MZ; Wang, YH
Author Full Names: Wang, Yong; Yuan, Yingying; Assogba, Kevin; Gong, Ke; Wang, Haizhong; Xu, Maozeng; Wang, Yinhai
Source: JOURNAL OF ADVANCED TRANSPORTATION, 10.1155/2018/4607493 2018
Language: English
Abstract: In modern supply chain, logistics companies usually operate individually and optimization researches often concentrate on solving problems related to separate networks. Consequences like the complexity of urban transportation networks and long distance deliveries or pickups and pollution are leading problems to more expenses and more complaints from environment protection organizations. A solution approach to these issues is proposed in this article and consists in the adoption of two-echelon heterogeneous cooperative logistics networks (THCLN). The optimization methodology includes the formation of cooperative coalitions, the reallocation of customers to appropriate logistics facilities, and the determination of the best profit allocation scheme. First, a mixed integer linear programing model is introduced to minimize the total operating cost of nonempty coalitions. Thus, the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO) algorithm are hybridized to propose GA-PSO heuristics. GA-PSO is employed to provide good solutions to customer clustering units' reallocation problem. In addition, a negotiation process is established based on logistics centers as coordinators. The case study of Chongqing city is conducted to verify the feasibility of THCLN in practice. The grand coalition and two heterogeneous subcoalitions are designed, and the collective profit is distributed based on cooperative game theory. The Minimum Cost Remaining Savings (MCRS) model is used to determine good allocation schemes and strictly monotonic path principles are considered to evaluate and decide the most appropriate coalition sequence. Comparisons proved the combination of GA-PSO and MCRS better as results are found closest to the core center. Therefore, the proposed approach can be implemented in real world environment, increase the reliability of urban logistics network, and allow decision makers to improve service efficiency.
ISSN: 0197-6729
eISSN: 2042-3195
Article Number: 4607493
IDS Number: GH4HN
Unique ID: WOS:000433364300001
二、EI 7条
1. Transient Analysis of the Driving Behavior in the Dumpling Fog Sections of Expressway Based on Catastrophe Theory
Accession number: 20182305272300
Authors: Li, Xiao-Lei (1, 2); Tang, Bo-Ming (1); Zeng, Chao (1)
Author affiliation: (1) School of Civil Engineering, Chongqing Jiaotong University, Chongqing; 400074, China; (2) Chongqing Key Laboratory of Geomechanics & Geoenvironment Protection, Army Logistics University, Chongqing; 401311, China
Corresponding author: Tang, Bo-Ming(bmtang@163.com)
Source title: Zhongguo Gonglu Xuebao/China Journal of Highway and Transport
Abbreviated source title: Zongguo Gonglu Xuebao
Volume: 31
Issue: 4
Issue date: April 1, 2018
Publication year: 2018
Pages: 78-87
Language: Chinese
ISSN: 10017372
CODEN: ZGXUFN
Document type: Journal article (JA)
Publisher: Xi’an Highway University
Abstract: To reveal the mechanism of an accident caused by the rear end of multiple vehicles in the dumpling fog environment, it is necessary to analyze the driving behavior of the driver in the fog section. By clustering analysis, It was found that the dumpling fog section length, the time period of dumpling fog, and the frequency of dumpling fog have catastrophic characteristics. Therefore, the transient analysis of the driving behavior in a dumpling fog environment in the expressway should take full consideration of its mutagenicity. By considering dumpling fog sections with the visibility interval of (0, 1 500 m] and the fog segment length of less than 4 km as the study object, a transient model of the driving behavior based on the visibility, visual area, and driving speed was constructed, and the transient analysis of the driving speed and gazing region of the vehicle after the fog section of the league was performed. The different driving behaviors in the dumpling fog section of an expressway under the same visibility with induced fog lamps and non-induced fog lamps were analyzed simultaneously. The analysis results show that, in the process of entering and exiting the dumpling fog section from a fog-free section, the driving behavior can be divided into eight stages: detection, confirmation, emergency braking, accelerated braking, slow braking, speed retention, micro-acceleration, and rapid acceleration. The acceleration variation in these stages leads to the increase in the discrete value of the speed in the dumpling fog section of the expressway. After adding the fog lamp on both sides of the dumpling fog section, the missing visual information caused by the dumpling fog is compensated, the driver’s visual area diameter and sight distance become larger, and the amplitude of deceleration becomes smaller, which helps to reduce the speed disturbance and the abrupt effect, while improving the safety of the vehicles in the dumpling fog section. ? 2018, Editorial Department of China Journal of Highway and Transport. All right reserved.
Number of references: 25
Main heading: Transient analysis
Controlled terms: Accidents - Fog - Lighting - Speed - Traffic control - Vehicles - Visibility
Uncontrolled terms: Acceleration variations - Catastrophe theory - Clustering analysis - Driving behavior - Mutation theory - Segment lengths - Traffic safety - Visual information
Classification code: 443.1 Atmospheric Properties
Atmospheric Properties
- 741.2 Vision
Vision
- 914.1 Accidents and Accident Prevention
Accidents and Accident Prevention
Numerical data indexing: Size 4.00e+03m
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2018 Elsevier Inc.
Data Provider: Engineering Village
2. Heating characteristics and induced healing efficiencies of asphalt mixture via induction and microwave heating
Accession number: 20182305275750
Authors: Liu, Quantao (1, 2); Chen, Cheng (1); Li, Bin (1); Sun, Yihan (3); Li, Hechuan (1)
Author affiliation: (1) State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Luoshi Road 122, Wuhan; 430070, China; (2) National and Local Joint Engineering Laboratory for Transportation and Civil Engineering Materials, Chongqing Jiaotong University, Chongqing; 400074, China; (3) Zhejiang Provincial Institute of Communications Planning, Design and Research, Hangzhou; 310015, China
Corresponding author: Li, Hechuan(lihc@whut.edu.cn)
Source title: Materials
Abbreviated source title: Mater.
Volume: 11
Issue: 6
Issue date: May 29, 2018
Publication year: 2018
Article number: 913
Language: English
E-ISSN: 19961944
Document type: Journal article (JA)
Publisher: MDPI AG, Postfach, Basel, CH-4005, Switzerland
Abstract: This paper investigates the heating characteristics and induced healing efficiencies of asphalt mixture containing steel fiber under induction heating and microwave heating. The heating characteristics of an asphalt mixture with different heating methods were studied with an infrared camera. The healing performance of the asphalt mixture specimens in different healing conditions were investigated by observing the crack closure and testing the fracture resistance recovery after healing. The results showed that the heating speed at the surface of asphalt mixture with induction heating was much higher than that with microwave machine heating, under a similar output power and the same method of radiation. While the temperature distribution within the asphalt mixture under induction heating was quite uneven, microwave heating resulted in a more uniform temperature distribution. The effective heating depth of microwave heating is much higher than that of induction heating. Gradient healing occurred within the sample heated with induction healing, while a uniform healing effect can be achieved with microwave heating. ? 2018 by the authors.
Number of references: 29
Main heading: Asphalt mixtures
Controlled terms: Crack closure - Efficiency - Fracture testing - Induction heating - Microwave heating - Microwaves - Mixtures - Steel fibers - Temperature distribution
Uncontrolled terms: Effective heating depth - Heating method - Induced healing - Infra-red cameras - Machine heating - Output power
Classification code: 411.1 Asphalt
Asphalt
- 641.1 Thermodynamics
Thermodynamics
- 642.1 Process Heating
Process Heating
- 711 Electromagnetic Waves
Electromagnetic Waves
- 819.4 Fiber Products
Fiber Products
- 913.1 Production Engineering
Production Engineering
DOI: 10.3390/ma11060913
Funding Details: Number; Acronym; Sponsor: 51508433; NSFC; National Natural Science Foundation of China - Number; Acronym; Sponsor: 51778515; NSFC; National Natural Science Foundation of China
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2018 Elsevier Inc.
Data Provider: Engineering Village
3. Application of Wavelet and EEMD Joint Denoising in Nonlinear Ultrasonic Testing of Concrete
Accession number: 20182305278629
Authors: Nie, Zhichao (1); Wang, Kui (1, 2); Zhao, Mingjie (1, 2)
Author affiliation: (1) Key Laboratory of Hydraulic and Waterway Engineering of Ministry of Education, Chongqing Jiaotong University, Chongqing; 400074, China; (2) Engineering Research Center of Diagnosis Technology and Instruments of Hydro-Construction, Chongqing Jiaotong University, Chongqing; 400074, China
Corresponding author: Wang, Kui(anhuiwk@163.com)
Source title: Advances in Materials Science and Engineering
Abbreviated source title: Adv. Mater. Sci. Eng.
Volume: 2018
Issue date: 2018
Publication year: 2018
Article number: 7872036
Language: English
ISSN: 16878434
E-ISSN: 16878442
Document type: Journal article (JA)
Publisher: Hindawi Limited, 410 Park Avenue, 15th Floor, 287 pmb, New York, NY 10022, United States
Abstract: The health state of concrete is deteriorating during its service. Nonlinear ultrasonic detection based on the amplitude of the fundamental and the second harmonic is considered to be a powerful tool for the discovery of the microcrack in concrete. However, the research on processing the nonlinear ultrasonic signal is still insufficient. In order to highlight the real frequency domain components in the nonlinear ultrasonic signal, wavelet and ensemble empirical mode decomposition (EEMD) were joined to denoise the numerical and measured signal. The optimal wavelet base and the decomposition level were determined by the signal-to-noise ratios (SNRs). Then, the wavelet threshold denoising signal was decomposed by EEMD, omitting the high-frequency components and ultimately achieving the desired denoising effect. The denoising result of the test signals demonstrates that this method is effective in denoising the details of the ultrasonic signal and improving the reliability and adaptability of the nonlinear ultrasonic testing. In this experiment, the concrete with the microcrack was tested by linear and nonlinear ultrasonic methods. Based on the variation regularity of the nonlinear ultrasonic coefficient β and velocity v, we can conclude that the nonlinear ultrasonic parameter β is more sensitive to the microcrack in concrete than the traditional wave velocity v. The nonlinear ultrasonic testing can be an important supplement to the current nondestructive testing technique of the concrete. ? 2018 Zhichao Nie et al.
Number of references: 22
Main heading: Ultrasonic testing
Controlled terms: Concrete testing - Concretes - Frequency domain analysis - Nondestructive examination - Signal denoising - Signal to noise ratio - Wave propagation - Wavelet decomposition
Uncontrolled terms: Decomposition level - Ensemble empirical mode decompositions (EEMD) - Frequency-domain components - High frequency components - Non destructive testing - Non-linear ultrasonic - Variation regularity - Wavelet threshold de-noising
Classification code: 412 Concrete
Concrete
- 716.1 Information Theory and Signal Processing
Information Theory and Signal Processing
- 753.3 Ultrasonic Applications
Ultrasonic Applications
- 921.3 Mathematical Transformations
Mathematical Transformations
DOI: 10.1155/2018/7872036
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2018 Elsevier Inc.
Data Provider: Engineering Village
4. Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data
Accession number: 20182305278719
Authors: Peng, Jinshuan (1); Shao, Yiming (1)
Author affiliation: (1) School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing; 400074, China
Corresponding author: Peng, Jinshuan(peng_jinshuan@163.com)
Source title: Complexity
Abbreviated source title: Complexity
Volume: 2018
Issue date: 2018
Publication year: 2018
Article number: 1801273
Language: English
ISSN: 10762787
E-ISSN: 10990526
Document type: Journal article (JA)
Publisher: Hindawi Limited, 410 Park Avenue, 15th Floor, 287 pmb, New York, NY 10022, United States
Abstract: Risky driving behavior is a major cause of traffic conflicts, which can develop into road traffic accidents, making the timely and accurate identification of such behavior essential to road safety. A platform was therefore established for analyzing the driving behavior of 20 professional drivers in field tests, in which overclose car following and lane departure were used as typical risky driving behaviors. Characterization parameters for identification were screened and used to determine threshold values and an appropriate time window for identification. A neural network-Bayesian filter identification model was established and data samples were selected to identify risky driving behavior and evaluate the identification efficiency of the model. The results obtained indicated a successful identification rate of 83.6% when the neural network model was solely used to identify risky driving behavior, but this could be increased to 92.46% once corrected by the Bayesian filter. This has important theoretical and practical significance in relation to evaluating the efficiency of existing driver assist systems, as well as the development of future intelligent driving systems. ? 2018 Jinshuan Peng and Yiming Shao.
Number of references: 39
Main heading: Big data
Controlled terms: Behavioral research - Efficiency - Highway accidents - Highway traffic control - Motor transportation - Roads and streets
Uncontrolled terms: Identification model - Identification rates - Intelligent driving systems - Intelligent method - Neural network model - Professional drivers - Road traffic accidents - Traffic conflicts
Classification code: 406.1 Highway Systems
Highway Systems
- 406.2 Roads and Streets
Roads and Streets
- 432.1 Highway Transportation, General
Highway Transportation, General
- 723.2 Data Processing and Image Processing
Data Processing and Image Processing
- 913.1 Production Engineering
Production Engineering
- 971 Social Sciences
Social Sciences
Numerical data indexing: Percentage 8.36e+01%, Percentage 9.25e+01%
DOI: 10.1155/2018/1801273
Funding Details: Number; Acronym; Sponsor: 61503049; NSFC; National Natural Science Foundation of China
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2018 Elsevier Inc.
Data Provider: Engineering Village
5. Edge detection algorithm based on color space variables
Accession number: 20182305290334
Authors: Shi, Chengxiang (1); Luo, Jiayuan (2)
Author affiliation: (1) School of Mathematics and Information Engineering, Chongqing University of Education, Chongqing; 400065, China; (2) School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing; 400074, China
Corresponding author: Luo, Jiayuan(280584005@qq.com)
Source title: International Journal of Performability Engineering
Abbreviated source title: Int. J. Perform. Eng.
Volume: 14
Issue: 5
Issue date: May 2018
Publication year: 2018
Pages: 885-890
Language: English
ISSN: 09731318
Document type: Journal article (JA)
Publisher: Totem Publishers Ltd
Abstract: In view of the large number of environmental influence factors in complex and varied backgrounds, a color image feature extraction method based on color space variables is proposed. According to the method of maximum variance between classes, color space variable values are used to classify images, and filter operators are used to denoise different types of images. The preprocessed image again calculates the foreground segmentation threshold and combines the canny operator, the multiscale theory, and the morphological operator to extract the edge. The results show that this method can effectively process various background color images and provide a new idea and method for intelligent processing of color images. ? 2018 Totem Publisher, Inc. All rights reserved.
Number of references: 10
Main heading: Color image processing
Controlled terms: Color - Edge detection - Extraction - Feature extraction - Image segmentation - Signal detection
Uncontrolled terms: Color space - Edge detection algorithms - Environmental influence factors - Foreground segmentation - Intelligent processing - Maximum variance - Morphological operator - Multiscale theories
Classification code: 716.1 Information Theory and Signal Processing
Information Theory and Signal Processing
- 741.1 Light/Optics
Light/Optics
- 802.3 Chemical Operations
Chemical Operations
DOI: 10.23940/ijpe.18.05.p6.885890
Funding Details: Number; Sponsor: KJ1501408; Chongqing Municipal Education Commission - Number; Sponsor: KJ1705129; Chongqing Municipal Education Commission
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2018 Elsevier Inc.
Data Provider: Engineering Village
6. A field measurement system for wind engineering and analysis of typhoon characteristics by ultrasonic anemometers
Accession number: 20182305267347
Authors: Wang, Xu (1); Li, Huaqiang (1); Chen, Zeng-Shun (1, 2); Dong, Hua-Ming (1); Xiao, Yangjian (1)
Author affiliation: (1) State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing; 400074, China; (2) Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Corresponding author: Chen, Zeng-Shun(chenzs2007@163.com)
Source title: International Journal of Robotics and Automation
Abbreviated source title: Int J Rob Autom
Volume: 33
Issue: 3
Issue date: May 22, 2018
Publication year: 2018
Pages: 266-275
Language: English
ISSN: 08268185
CODEN: IJAUED
Document type: Journal article (JA)
Publisher: Acta Press
Abstract: A low-rise building and a tower were constructed near Shanghai Pudong International Airport by East China Sea to investigate characteristics of wind field and wind pressure on the surface of the roof. This paper firstly introduces the overview of the field measurement system and then presents the field measurement results of near-ground wind characteristics over a typical flat area near the Yangtze River estuary during typhoon HAIKUI. Variations of the wind characteristic parameters, such as mean wind speed, longitudinal turbulence intensity, gust factor and turbulence integral scale, along the height are analysed. It is found that the neutral atmospheric stratification (|z/L|≤0.1) occurred in the periods corresponding to the relatively high mean wind speed, and z/L has greater dispersion when the wind speed is relatively low. The dispersion of friction velocity is large when wind speed is small, and its variation with the mean wind speed is not obvious, but when the mean wind speed is larger, the friction velocity increases significantly with the mean wind speed. The measured mean wind speed profile is in good agreement with power and logarithmic law. Besides, the profiles of turbulence intensity, gust factor and turbulence integral scale factor are presented and empirical expressions are given by fitting the profile curve, which is useful for wind-resistant design of engineering structures in the future. ? 2018 Acta Press. All rights reserved.
Number of references: 26
Main heading: Hurricanes
Controlled terms: Curve fitting - Friction - Speed - Structural dynamics - Turbulence - Wind effects
Uncontrolled terms: Atmospheric stratification - Field measurement systems - Gust factors - Longitudinal turbulence intensity - Mean wind speed profiles - Turbulence intensity - Typhoon characteristics - Wind profiles
Classification code: 408 Structural Design
Structural Design
- 443.1 Atmospheric Properties
Atmospheric Properties
- 921.6 Numerical Methods
Numerical Methods
DOI: 10.2316/Journal.206.2018.3.206-5087
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2018 Elsevier Inc.
Data Provider: Engineering Village
7. Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization
Accession number: 20182305279683
Authors: Wang, Yong (1, 2); Yuan, Yingying (1); Assogba, Kevin (3); Gong, Ke (1); Wang, Haizhong (3); Xu, Maozeng (1); Wang, Yinhai (4, 5)
Author affiliation: (1) School of Economics and Management, Chongqing Jiaotong University, Chongqing; 400074, China; (2) School of Management and Economics, University of Electronic Science and Technology, Chengdu; 610054, China; (3) School of Civil and Construction Engineering, Oregon State University, Corvallis; OR; 97330, United States; (4) Department of Civil and Environmental Engineering, University of Washington, Seattle; WA; 98195-2700, United States; (5) Transportation Data Science Research Center, College of Transportation Engineering, Tongji University, Shanghai; 201804, China
Corresponding author: Wang, Yong(yongwx6@gmail.com)
Source title: Journal of Advanced Transportation
Abbreviated source title: J Adv Transp
Volume: 2018
Issue date: 2018
Publication year: 2018
Article number: 4607493
Language: English
ISSN: 01976729
E-ISSN: 20423195
CODEN: JATRDC
Document type: Journal article (JA)
Publisher: Hindawi Limited, 410 Park Avenue, 15th Floor, 287 pmb, New York, NY 10022, United States
Abstract: In modern supply chain, logistics companies usually operate individually and optimization researches often concentrate on solving problems related to separate networks. Consequences like the complexity of urban transportation networks and long distance deliveries or pickups and pollution are leading problems to more expenses and more complaints from environment protection organizations. A solution approach to these issues is proposed in this article and consists in the adoption of two-echelon heterogeneous cooperative logistics networks (THCLN). The optimization methodology includes the formation of cooperative coalitions, the reallocation of customers to appropriate logistics facilities, and the determination of the best profit allocation scheme. First, a mixed integer linear programing model is introduced to minimize the total operating cost of nonempty coalitions. Thus, the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO) algorithm are hybridized to propose GA-PSO heuristics. GA-PSO is employed to provide good solutions to customer clustering units’ reallocation problem. In addition, a negotiation process is established based on logistics centers as coordinators. The case study of Chongqing city is conducted to verify the feasibility of THCLN in practice. The grand coalition and two heterogeneous subcoalitions are designed, and the collective profit is distributed based on cooperative game theory. The Minimum Cost Remaining Savings (MCRS) model is used to determine good allocation schemes and strictly monotonic path principles are considered to evaluate and decide the most appropriate coalition sequence. Comparisons proved the combination of GA-PSO and MCRS better as results are found closest to the core center. Therefore, the proposed approach can be implemented in real world environment, increase the reliability of urban logistics network, and allow decision makers to improve service efficiency. ? 2018 Yong Wang et al.
Number of references: 31
Main heading: Particle swarm optimization (PSO)
Controlled terms: Decision making - Game theory - Genetic algorithms - Integer programming - Logistics - Problem solving - Profitability - Supply chains - Urban transportation
Uncontrolled terms: Cooperative game theory - Environment protection - Mixed integer linear programing - Optimization methodology - Optimization researches - Particle swarm optimization algorithm - Real world environments - Urban transportation networks
Classification code: 432 Highway Transportation
Highway Transportation
- 433 Railroad Transportation
Railroad Transportation
- 911.2 Industrial Economics
Industrial Economics
- 912 Industrial Engineering and Management
Industrial Engineering and Management
- 912.2 Management
Management
- 913 Production Planning and Control; Manufacturing
Production Planning and Control; Manufacturing
- 921.5 Optimization Techniques
Optimization Techniques
- 922.1 Probability Theory
Probability Theory
DOI: 10.1155/2018/4607493
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2018 Elsevier Inc.
Data Provider: Engineering Village
