Development of an Evaluation Model of Freeway Traffic Safety Facilities System

2013 ◽  
Vol 734-737 ◽  
pp. 1578-1581
Author(s):  
Yan Yong Guo ◽  
Yao Wu ◽  
Liang Song ◽  
Hui Duan
Keyword(s):  
Traffic Safety ◽  
Evaluation System ◽  
Evaluation Model ◽  
Variation Coefficient ◽  
Freeway Traffic ◽  
Evaluation Result ◽  
Single Index ◽  
Recognition Theory ◽  
Attribute Measure ◽  
Attribute Recognition

This study developed an evaluation model of freeway traffic safety facilities system. Firstly, an evaluation system of freeway traffic safety facility was proposed. Secondly, an evaluation model was proposed based on attribute recognition theory. And the evaluation result was identified according to the attribute measure value of single index and the comprehensive attribute measure value of multiple indexes as well as the confidence criterion. Thirdly, the weight of each indicator was decided by variation coefficient. Finally, A case of TAI-GAN freeway (K1+242~K3+259 segment) was conducted to verify the feasibility and effectiveness of the model.

scholarly journals Highway safety influencing factors in cold regions based on attribute recognition theory

2018 ◽  
Vol 10 (12) ◽  
pp. 168781401881833
Author(s):  
Xue-jing Du ◽  
Yu-long Pei ◽  
Zhan-yu Wang ◽  
Zhan-li Chen ◽  
Hua-chen Zhou
Keyword(s):  
Influencing Factors ◽  
Traffic Safety ◽  
Road Traffic ◽  
Evaluation Model ◽  
Indicator System ◽  
Highway Traffic ◽  
Cold Regions ◽  
Road Traffic Safety ◽  
Recognition Theory ◽  
Attribute Recognition

To study the problem of highway traffic safety in cold regions, a thorough statistical analysis using traffic accident historical data is used to evaluate the influencing factors on highway traffic safety. A road traffic safety indicator system for cold regions is developed to evaluate the weight of these influence factors, such as driver performance, vehicle capacity, road condition, and general impact of the traffic environment. An index system of highway traffic safety influencing factors for cold regions is developed, and an evaluation model for traffic road safety influencing factors in cold regions based on attribute recognition theory is proposed. The weight of the model is determined using an analytic hierarchy process combined with expert scoring. The evaluation model is based on single-index attribute measure values and multi-index comprehensive attribute measurement values, using the confidence criterion to identify the influence of road traffic safety factors on road traffic safety in cold regions. In addition, the fuzzy comprehensive evaluation method is used for comparative evaluation, and the evaluation results were consistent and verified the correctness and feasibility of the attribute recognition model. Results showed that the evaluation system was in good agreement with actual traffic conditions in cold regions.

Evaluation of Highway Traffic Safety Facilities Based on Set Pair Analysis

2015 ◽  
Vol 730 ◽  
pp. 73-76
Author(s):  
Yao Wu ◽  
Jian Lu ◽  
Wan Qiu Zhu ◽  
Hong Tong Qiu
Keyword(s):  
Traffic Safety ◽  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Set Pair Analysis ◽  
Highway Traffic ◽  
Freeway Traffic ◽  
Connection Degree ◽  
Pair Analysis

In order to make a reasonable evaluation of highway traffic safety facilities, a comprehensive evaluation method based on set pair analysis was proposed. An evaluation system of freeway traffic safety facilities was established. Combined with relevant norms and standards, each indicator in the evaluation system was divided and a reasonable threshold has been set. Through the calculation of the connection degree of ‘identicalness, differentness and reverse’, the maximum connection degree criterion was used to judge the evaluation results of freeway traffic safety facilities. Finally a case study was conducted to verify the proposed evaluation method. The case study shows that the selected highway traffic safety facilities are at a good level and this method can provide scientific decision basis for highway traffic facility renovation.

On the Application of Ant Colony Neural Network for the Highway Traffic Safety Facilities System

2014 ◽  
Vol 989-994 ◽  
pp. 2675-2678
Author(s):  
Guo Ling Jia ◽  
Rong Guo Ma ◽  
Ya Juan Deng
Keyword(s):  
Neural Network ◽  
Traffic Safety ◽  
Evaluation Model ◽  
Influence Factors ◽  
Highway Safety ◽  
Ant Colony ◽  
Evaluation Index System ◽  
System Evaluation ◽  
Highway Traffic ◽  
Freeway Traffic

Highway traffic safety facilities system evaluation plays an important role to relieve highway safety problem. From the perspective of system engineering, the influence factors of the current situation are comprehensively considered, the freeway traffic safety facilities system evaluation index system is established, and the application of ant colony neural network evaluation model is constructed. The purpose is to provide the beneficial references for freeway traffic safety facilities system evaluation.

The Establish of Evaluation Index System of Freeway Travel Safety under Unusual Situation

2013 ◽  
Vol 368-370 ◽  
pp. 1937-1940
Author(s):  
Ying Jie Zheng ◽  
Hui Gan
Keyword(s):  
Data Collection ◽  
Traffic Safety ◽  
Index System ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Freeway Traffic ◽  
Unusual Situation ◽  
Quantitative Formula

Since there are many influencing factors about freeway traffic safety, in order to provide a basis for comprehensive evaluation of traffic safety, on the basis of comprehensively analyzing the existing evaluation system of traffic safety, the evaluation index system of freeway traffic safety is established according to freeway characteristic under the unusual situation, as well as considering the feasibility of data collection and the rationality of setting up the index, which gives the definition, quantitative formula and suggestion value of domain for the indexes.

scholarly journals Safety State Evaluation Method Based on Attribute Recognition Model for Ancient Timber Buildings

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Junhong Huan ◽  
Donghui Ma ◽  
Wei Wang ◽  
Ziyi Wang
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Damage Identification ◽  
Evaluation Model ◽  
Entropy Method ◽  
Recognition Model ◽  
Evaluation Indexes ◽  
State Evaluation ◽  
Wood Frame ◽  
Attribute Recognition

To improve accuracy of safety state evaluation results for ancient timber buildings and to know the real state of the building, a safety grade evaluation model of ancient timber buildings is established based on attribute mathematic theory. From the perspective of macro, micro, qualitative, and quantitative, 22 factors may adversely affect the safety state of ancient timber building are considered in this model. First, evaluation system is established, and evaluation indexes are selected based on former study, seismic damage data, and Chinese current code about ancient timber buildings. In the evaluation system, whole building is divided into four parts, which are wood frame, enclosing wall, foundation, and plinth. Different parts contain different components. Every component has its own evaluation indexes. Second, based on the AHP and entropy method, the comprehensive empowering method is used to determine the weights of the indexes. Third, the attribute recognition model is established to identify the safety grade of components or units. Fourth, based on the evaluation results of components, safety grade of units is identified. Then, safety degree of the entire building is determined by the minimum safety grade of units. At last, the model is applied to the “Liben hall” in village Siping, Zhejiang province, China, and the assessment results are consistent with the results of damage identification.

Research on construction and application of an evaluation system for regional road traffic safety

2018 ◽  
Vol 8 (4) ◽  
pp. 527-538 ◽  
Author(s):  
Bing-ru Cao ◽  
Hui-Hui Cao ◽  
Yong Liu
Keyword(s):  
Traffic Safety ◽  
Evaluation System ◽  
Feature Vector ◽  
Road Traffic ◽  
Evaluation Model ◽  
Ideal Point ◽  
Vector Method ◽  
Content Type ◽  
Road Traffic Safety ◽  
Proposed Model

Purpose The purpose of this paper is to construct a novel grey incidence evaluation model to investigate a scientific and effective evaluation system of regional road traffic safety. Design/methodology/approach To provide a method for the evaluation of regional road traffic safety, the grey incidence feature vector method is employed to construct the evaluation index system for regional road traffic safety and then the index weights are calculated with Shannon entropy method. In this paper, the grey incidence feature vector method and grey incidence analysis are utilised to construct evaluation index systems for regional road traffic safety and determine the index weights. Then a grey incidence-ideal point method is used to establish a novel evaluation model for regional road traffic safety. To thoroughly investigate the road traffic safety in one region, the data of 13 cities in Jiangsu province is gathered, using the grey clustering and grey incidence-ideal point method to obtain the ranking results of the 13 cities. Findings The results provide a basic analysis of the present situation and show the differences for these regions based on the proposed model, according to which several solutions are proposed, aiming to improve regional road traffic safety situation. Practical implications The method exposed in the paper can be used to deal with the problems of the evaluation of regional road traffic safety. Originality/value The paper succeeds in understanding the status quo and implementing effective road traffic safety management based on the proposed model.

The Research on the Traffic Rules of Freeways

2014 ◽  
Vol 926-930 ◽  
pp. 4154-4157
Author(s):  
Zhi Wei Yang
Keyword(s):  
Traffic Flow ◽  
Road Safety ◽  
Evaluation System ◽  
Evaluation Model ◽  
Safety Performance ◽  
Traffic Density ◽  
Appraisal System ◽  
Freeway Traffic ◽  
The Difference ◽  
Traffic Rules

In this paper, a study of freeway traffic rules, respectively, from the traffic flow and road safety performance provides a theoretical basis for the establishment of a more rational road rules. First, we set up an appraisal system of the traffic flow which describes the flow from the average speed, the traffic density, the overtaking rate. And we calculate them separately. Meanwhile, by fitting, we can obtain the relationship between the traffic flow and the overtaking ratio. Then, an evaluation system of the safety is established which is based on the IHSDM (the evaluation model for highway safety). We can use it to get the conclusion that when the difference between the speeds of running vehicles is greater, the corresponding accident rate is higher. And the rate has a direct response to the road safety performance. Also, we combine the overtaking model to explore the safety performance in different road rules. Finally, in the case of different traffic rules, we can get a comprehensive of the model.

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