Evaluation and Optimization on Colors in Urban Traffic Based on PSO and GT-BPANN

2011 ◽  
Vol 97-98 ◽  
pp. 1162-1167
Author(s):  
Hong Wei Yuan ◽  
Wen Bo Zhang
Keyword(s):  
Quantitative Research ◽  
Traffic Accidents ◽  
Evaluation Model ◽  
Reliability And Validity ◽  
Urban Traffic ◽  
Evaluation Index System ◽  
Grey Theory ◽  
Urban Road ◽  
Modern Knowledge ◽  
Color Psychology

In order to reduce traffic accidents, achieving safety and harmony of traffic color, a quantitative research on traffic color of urban road were carried. Grounded on modern knowledge of color theory, color psychology, Grey Theory and Back-error Propagation Artificial Neural Network (GT-BPNN), Particle Swarm Optimization algorithm (PSO) and traffic questionnaires, the evaluation index system of traffic color in urban road, the evaluation model of transportation color and the model of color harmony and optimization in urban road were constructed. Assisted by MATLAB and other software, the reliability and validity of models were determined, taking a road in Xuzhou, Jiangsu as a test section. According to the results, some reasonable improvements on traffic safe color were recommended.

The Evaluation Model and Index Screening of Innovation Performance - Taking High-Tech Enterprise as an Example

2014 ◽  
Vol 962-965 ◽  
pp. 3087-3090
Author(s):  
Ling Ma ◽  
Xiang Dong Li ◽  
Wei Cai ◽  
Dong Xue Zhang
Keyword(s):  
Performance Management ◽  
Index System ◽  
Quantitative Research ◽  
Evaluation Model ◽  
Reliability And Validity ◽  
Innovation Performance ◽  
Evaluation Index System ◽  
High Tech ◽  
Evaluation Indexes ◽  
Innovation Ability

Basing on the existed theory, the paper built the evaluation model of innovation performance for high-tech enterprise. By analysis of investigation data, the evaluation indexes were preliminary screened. Finally the evaluation index system of innovation performance was proved to be solid reliability and validity through confirmatory factor analysis. The verified evaluation model and index system by quantitative research in the paper provided theoretical basis and methods for innovation performance management of high-tech enterprise, which was beneficial for their promotion of innovation ability and laying foundation for innovation development.

Research on Evaluation of Urban Road Congestion

2014 ◽  
Vol 536-537 ◽  
pp. 815-819
Author(s):  
Yi Dan Gao
Keyword(s):  
Traffic Congestion ◽  
Evaluation System ◽  
Road Traffic ◽  
Urban Traffic ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Urban Road ◽  
Research On Evaluation ◽  
Four Levels ◽  
The Government

This paper presents an urban road traffic evaluation system from traffic behavior, transport, traffic supply and traffic concept using the analytic hierarchy process techniques. We collect data by distributing questionnaires in Qingdao and determine the congestion evaluation index system after processing the data by factor analysis. The system is designed to emulate human's expertise on specifying four levels of traffic congestion within the urban area. Case analysis shows that our evaluation system is provided for the government to manage urban traffic networks.

Study on Macroscopic Prediction Model of Traffic Accident Influence Factors

2012 ◽  
Vol 590 ◽  
pp. 531-535
Author(s):  
Yu Zhuo Men ◽  
Hai Bo Yu ◽  
Xin Pan
Keyword(s):  
Prediction Model ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Influence Factors ◽  
Prediction Method ◽  
Theory Model ◽  
Urban Traffic ◽  
Grey Theory ◽  
Correlation System ◽  
Correlation Grade

In order to study the main influence factors on urban traffic accident, the grey correlation system macroscopic prediction method was presented. Concerning the overall environmental perspective of people, automobile, and road as well as the distinctive characteristic of urban traffic accident, the prediction model of factors contributing to traffic accident was proposed. EXCEL software was applied to analyze the relations between the influence factors and traffic accidents with grey theory model adopted to calculate the correlation grade among different factors. The prediction Model was also validated through examples on the basis of the investigation of traffic accident and the relevant statistics. The results show that the model is applicable and efficient in forecasting the main factors and the relations between them, thus to avoid traffic accidents.

The Urban Road Short-Term Traffic Flow Prediction Research

2013 ◽  
Vol 423-426 ◽  
pp. 2954-2956 ◽  
Author(s):  
Zhen Hai Qin
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Evaluation Model ◽  
Social Resources ◽  
Urban Traffic ◽  
Short Term ◽  
Urban Road ◽  
Traffic Flow Prediction ◽  
Flow Prediction ◽  
Short Period

To predict the future traffic flow status more accurately is of great significance to alleviate urban traffic congestion for a short period of time and avoid the waste of social resources. At first, this paper summarizes the characteristics of urban expressway traffic flow. Then establishes BP neural network short-term traffic flow evaluation model based on MATLAB, and finally through the instance, verify the validity of the model.

The Coal Mining Methods Selection of Large Mine Based on Grey Relevance Analysis

2013 ◽  
Vol 295-298 ◽  
pp. 2990-2996 ◽  
Author(s):  
Cun Yu Liu ◽  
Xing Xing Wen ◽  
Jian Zhi He ◽  
Wei Gang Zeng
Keyword(s):  
Coal Mining ◽  
Evaluation System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Reference Sequence ◽  
Grey Theory ◽  
Mining Method ◽  
Analytic Hierarchy ◽  
Relevance Analysis ◽  
Mining Methods

In order to select the reasonable coal mining method of large mine, analysing the main factors of affecting the mining method and establishing the evaluation index system of coal mining methods selection to large mine, then using Analytic Hierarchy Process (AHP) to calculate the weight of each index. The grey correlation evaluation model of mining method was established for large mine by using grey relevance analysis of the grey theory, this model can calculate grey relevance coefficient and grey relevance degree between the evaluation system indexes by determining the reference sequence and comparative sequence of the evaluation object, and according to the size of the grey relevance degree to determine the reasonable coal mining methods. The evaluating case analysis shows this model is practical to select the reasonable coal mining method of large mine, and it is a scientific decision-making method.

scholarly journals GIS-based analysis of spatial–temporal correlations of urban traffic accidents

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Qinglu Ma ◽  
Guanghao Huang ◽  
Xiaoyao Tang
Keyword(s):  
Cluster Analysis ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Temporal Distribution ◽  
Urban Traffic ◽  
Distribution Characteristics ◽  
Urban Road ◽  
Accident Frequency ◽  
Accident Severity ◽  
Density Analysis

Abstract Background Understanding the spatial–temporal distribution characteristics of urban road traffic accidents is important for urban road traffic safety management. Based on the road traffic data of Wales in 2017, the spatial–temporal distribution of accidents is formed. Methods The density analysis method is used to identify the areas with high accident incidence and the areas with high accident severity. Then, two types of spatial clustering analysis models, outlier analysis and hot spot analysis are used to further identify the regions with high accident severity. Results The results of density analysis and cluster analysis are compared. The results of density analysis show that, in terms of accident frequency and accident severity, Swansea, Neath Port Talbot, Bridgend, Merthyr Tydfil, Cardiff, Caerphilly, Newport, Denbighshire, Vale of Glamorgan, Rhondda Cynon Taff, Flintshire and Wrexham have high accident frequency and accident severity per unit area. Cluster analysis results are similar to the density analysis. Finally, the temporal distribution characteristics of traffic accidents are analyzed according to month, week, day and hour. Accidents are concentrated in July and August, frequently in the morning rush hour and at dusk, with the most accidents occurring on Saturday. Conclusions By comparing the two methods, it can be concluded that the density analysis is simple and easy to understand, which is conducive to understanding the spatial distribution characteristics of urban traffic accidents directly. Cluster analysis can be accurate to the accident point and obtain the clustering characteristics of road accidents.

Comprehensive evaluation of kraft pulp properties from fast-growing woods

TAPPI Journal ◽  
2010 ◽  
Vol 9 (6) ◽  
pp. 34-39
Author(s):  
AIYU QU ◽  
YANHUI AO ◽  
JUN YAN ◽  
GUIGAN FANG
Keyword(s):  
Kraft Pulp ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Wood Cellulose ◽  
Fuzzy Matrix ◽  
Fast Growing ◽  
Pulp Properties ◽  
Evaluation Index Systems

To develop new wood cellulose resources and fast-growing pulpwood plantation fiber sources, it is very important to evaluate their pulping properties. A comprehensive multi-index pulping-suitability evaluation model is investigated in this paper by considering four fast-growing wood species. First, a new evaluation-index system for kraft pulp was developed based on traditional evaluation-index systems. Then, the membership degree of every index was analyzed to obtain a fuzzy matrix. The proportional contribution of each parameter to the main pulping properties could then be determined. Finally, a comprehensive evaluation model of kraft pulp properties was developed. The model is reliable compared with traditional assessment methods. The results confirmed the feasibility and rationality of developing new wood cellulose resources and fast-growing pulpwood plantations using fuzzy comprehensive evaluations.

scholarly journals Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Risk Preference ◽  
System Optimization ◽  
Decision Makers ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Risk Appetite ◽  
Utility Evaluation ◽  
The Index System

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.

scholarly journals Spatio-Temporal Visual Analysis for Urban Traffic Characters Based on Video Surveillance Camera Data

2021 ◽  
Vol 10 (3) ◽  
pp. 177
Author(s):  
Haochen Zou ◽  
Keyan Cao ◽  
Chong Jiang
Keyword(s):  
Video Surveillance ◽  
Traffic Management ◽  
Visual Analysis ◽  
Urban Traffic ◽  
License Plate ◽  
Road Vehicle ◽  
Urban Road ◽  
Surveillance Camera ◽  
Vehicle Density ◽  
Spatio Temporal

Urban road traffic spatio-temporal characters reflect how citizens move and how goods are transported, which is crucial for trip planning, traffic management, and urban design. Video surveillance camera plays an important role in intelligent transport systems (ITS) for recognizing license plate numbers. This paper proposes a spatio-temporal visualization method to discover urban road vehicle density, city-wide regional vehicle density, and hot routes using license plate number data recorded by video surveillance cameras. To improve the accuracy of the visualization effect, during data analysis and processing, this paper utilized Internet crawler technology and adopted an outlier detection algorithm based on the Dixon detection method. In the design of the visualization map, this paper established an urban road vehicle traffic index to intuitively and quantitatively reveal the traffic operation situation of the area. To verify the feasibility of the method, an experiment in Guiyang on data from road video surveillance camera system was conducted. Multiple urban traffic spatial and temporal characters are recognized concisely and efficiently from three visualization maps. The results show the satisfactory performance of the proposed framework in terms of visual analysis, which will facilitate traffic management and operation.

scholarly journals Emergency Capacity of Small Towns to Endure Sudden Environmental Pollution Accidents: Construction and Application of an Evaluation Model

2021 ◽  
Vol 13 (10) ◽  
pp. 5511
Author(s):  
Delu Wang ◽  
Yadong Wang
Keyword(s):  
Environmental Pollution ◽  
Evaluation Model ◽  
Empirical Evaluation ◽  
Analytic Network Process ◽  
Small Towns ◽  
Evaluation Index System ◽  
Four Dimensions ◽  
Recovery Capacity ◽  
Network Process ◽  
Response And Recovery

Sudden environmental pollution accidents (SEPAs) in small towns are characterized by high uncertainty, complex evolution, and fast spread speed, and they cause serious harm to a wide geographic range. Thus, SEPAs greatly challenge the emergency management systems of enterprises and governments. Therefore, improving the emergency capacity of small towns (ECST) to withstand SEPAs deserves more attention. In this study, the evolution mechanism of SEPAs is systematically analyzed, revealing the interactions among various situational elements in the SEPA occurrence process. Then, an evaluation index system of the ECST response to SEPAs is constructed based on four dimensions: monitoring and early warning capacity, preparedness and mitigation capacity, response, and recovery capacity. The system includes 68 indicators and covers the key stages of the SEPA life cycle. Finally, an evaluation model of the ECST to SEPAs is proposed based on the analytic network process method, and the small town of Jiangyin City is selected as a case study for empirical evaluation. The proposed evaluation model considers the interactions and interdependent feedback between indexes, effectively improving the accuracy and scientific nature of the evaluation results. Thus, this model provides a solid decision-making reference for governments and a quantitative theoretical basis for the formulation of measures targeted at SEPAs.

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