scholarly journals Research and Application of Urban Road Traffic Safety Risk Evaluation Based on Regional Disaster System Theory

2020 ◽  
Vol 780 ◽  
pp. 062041
Author(s):  
Lianhua Cheng ◽  
Sha Yang ◽  
Shugang Li
Keyword(s):  
System Theory ◽  
Traffic Safety ◽  
Risk Evaluation ◽  
Road Traffic ◽  
Safety Risk ◽  
Urban Road ◽  
Road Traffic Safety ◽  
Disaster System

Assessment of Urban Road Traffic Safety Based on Bayes Discriminant Analysis Method

2013 ◽  
Vol 639-640 ◽  
pp. 544-547
Author(s):  
Chang Ping Wen ◽  
Qing Qing Tian
Keyword(s):  
Discriminant Analysis ◽  
Traffic Safety ◽  
Evaluation Method ◽  
Road Traffic ◽  
Urban Road ◽  
Discriminant Model ◽  
Road Traffic Safety ◽  
Normal Populations ◽  
Proposed Model ◽  
Bayes Discriminant Analysis

Bayes discriminant analysis theory (BDAT) is used to create an evaluation method to determine the condition of urban road traffic safety. The resulting Bayes discriminant model (BDM) is designed to strictly adhere to BDAT. Three indexes including death ratio per ten thousand vehicles, death ratio per hundred thousand bicycles and death ratio per hundred thousand citizens are selected as the factors in the analysis of urban road traffic safety. The grade of condition of urban road traffic safety is divided into three grades that are regarded as three normal populations in Bayes discriminant analysis. Bayes discriminant functions rigorously constructed through training a set of samples are employed to compute the Bayes function values of the evaluating samples, and the maximal function value is used to judge which population the evaluating sample belongs to. The optimality of the proposed model is verified by back-substitution method. The study shows that the prediction accuracy of the proposed model is 100% and could be used in practice.

scholarly journals A Study on Urban Road Traffic Safety Based on Matter Element Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Qizhou Hu ◽  
Zhuping Zhou ◽  
Xu Sun
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Evaluation Model ◽  
Computational Procedure ◽  
Element Analysis ◽  
Urban Road ◽  
Road Traffic Safety ◽  
Analysis Theory ◽  
Matter Element Analysis ◽  
Element Matrix

This paper examines a new evaluation of urban road traffic safety based on a matter element analysis, avoiding the difficulties found in other traffic safety evaluations. The issue of urban road traffic safety has been investigated through the matter element analysis theory. The chief aim of the present work is to investigate the features of urban road traffic safety. Emphasis was placed on the construction of a criterion function by which traffic safety achieved a hierarchical system of objectives to be evaluated. The matter element analysis theory was used to create the comprehensive appraisal model of urban road traffic safety. The technique was used to employ a newly developed and versatile matter element analysis algorithm. The matter element matrix solves the uncertainty and incompatibility of the evaluated factors used to assess urban road traffic safety. The application results showed the superiority of the evaluation model and a didactic example was included to illustrate the computational procedure.

scholarly journals MODELLING THE ASSESSMENT OF TRAFFIC RISK AT LEVEL CROSSINGS OF LITHUANIAN RAILWAYS

Transport ◽  
2016 ◽  
Vol 32 (3) ◽  
pp. 282-290 ◽  
Author(s):  
Gintautas Bureika ◽  
Eduardas Gaidamauskas ◽  
Jonas Kupinas ◽  
Marijonas Bogdevičius ◽  
Stasys Steišūnas
Keyword(s):  
Traffic Safety ◽  
Risk Evaluation ◽  
Safety Management ◽  
Road Traffic ◽  
Scientific Publications ◽  
Level Crossings ◽  
Safety Risk ◽  
Railway Traffic ◽  
Safety Risks ◽  
Railway Infrastructure

The article discusses the problem of railway safety management and the criteria for evaluating the traffic risk described in various scientific publications. The research aims to assess the risk posed to railway infrastructure objects and to create a model for safety risk evaluation. The research on the traffic safety risk with respect to the infrastructure of the rail transport system was divided into three stages. The Plan–Do–Check–Act (PDCA) model can be used for investigating the problem of managing railway traffic safety risks in the Lithuanian railways. The main threats to railway infrastructure objects are defined, and the catalogue of technical parameters of level crossings of the Lithuanian railways is presented. The maximum allowable train speed, the intensity of railway and road traffic, as well as the size (width) and visibility of level crossings from the train driver’s cab are chosen as the main criteria for evaluating the vulnerability of a level crossing. The logistic regression method has been applied to rank and assess the safety of level crossings of the Lithuanian railways. The validity of the model developed in the present work for assessing traffic safety risks at level crossings of Lithuanian railways is about 86%. The suggested risk evaluation model is flexible and can be easily adapted for the evaluation and monitoring of safety risk of other elements pertaining to railway infrastructure. Finally, the basic conclusions and recommendations are provided.

Application of multi-attribute group decision-making methods in urban road traffic safety evaluation with interval-valued intuitionistic fuzzy information

2021 ◽  
Vol 40 (3) ◽  
pp. 5337-5346
Author(s):  
Zhun Tian ◽  
Shengrui Zhang
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Group Decision ◽  
Road Traffic ◽  
Safety Evaluation ◽  
Vikor Method ◽  
Accident Rate ◽  
Urban Road ◽  
Road Traffic Safety ◽  
Interval Valued

With the development of the social economy, the level of motorization has been greatly improved, and the traffic safety problem has been paid more and more attention. In recent years, China’s road traffic accident rate showed a trend of decline after rising first, suggests that the Chinese road traffic safety level is on the decline. Road traffic safety evaluation has a positive effect in found risk factors of road traffic safety in time and reduce the traffic accident rate, so the study of traffic safety evaluation method is imperative. And the urban road traffic safety evaluation is frequently viewed as the multi-attribute group decision-making (MAGDM) problem. Depending on the conventional VIKOR method and interval-valued intuitionistic fuzzy sets (IVIFSs), this paper designs a novel IVIF-VIKOR method to assess the urban road traffic safety. In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria is [Z1] decided objectively by utilizing CRITIC method. Eventually, an application and some comparative analysis are given. The results show that the designed algorithms are useful for assessing the urban road traffic safety.

Urban Road Traffic Safety Audit and Improvement in Medium-Sized Cities of China

CICTP 2012 ◽  
2012 ◽  
Author(s):  
Jia Jia ◽  
Wang Hui ◽  
Zhang Jian ◽  
Zhong Xiaoming
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Urban Road ◽  
Road Traffic Safety

scholarly journals Road Traffic Safety Risk Estimation Method Based on Vehicle Onboard Diagnostic Data

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaoyu Cai ◽  
Cailin Lei ◽  
Bo Peng ◽  
Xiaoyong Tang ◽  
Zhigang Gao
Keyword(s):  
Traffic Safety ◽  
Calculation Method ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Risk Estimation ◽  
Risk Classification ◽  
Safety Risk ◽  
Road Traffic Safety ◽  
Driving Behaviors ◽  
High Incidence

Currently, research on road traffic safety is mostly focused on traffic safety evaluations based on statistical indices for accidents. There is still a need for in-depth investigation on preaccident identification of safety risks. In this study, the correlations between high-incidence locations for aberrant driving behaviors and locations of road traffic accidents are analyzed based on vehicle OBD data. A road traffic safety risk estimation index system with road traffic safety entropy (RTSE) as the primary index and rapid acceleration frequency, rapid deceleration frequency, rapid turning frequency, speeding frequency, and high-speed neutral coasting frequency as secondary indices is established. A calculation method of RTSE is proposed based on an improved entropy weight method. This method involves three aspects, namely, optimization of the base of the logarithm, processing of zero-value secondary indices, and piecewise calculation of the weight of each index. Additionally, a safety risk level determination method based on two-step clustering (density and k-means clustering) is also proposed, which prevents isolated data points from affecting safety risk classification. A risk classification threshold calculation method is formulated based on k-mean clustering. The results show that high-incidence locations for aberrant driving behaviors are consistent with the locations of traffic accidents. The proposed methods are validated through a case study on four roads in Chongqing with a total length of approximately 38 km. The results show that the road traffic safety trends characterized by road safety entropy and traffic accidents are consistent.

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