Comprehensive approaches for road traffic safety evaluation

2009 ◽  
Author(s):  
Qiao Lan ◽  
Yibing Li
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Safety Evaluation ◽  
Road Traffic Safety

Research of Highway Alignment Design Safety Evaluation Using Curvature Change Rate

2012 ◽  
Vol 238 ◽  
pp. 493-496
Author(s):  
Sheng Neng Hu
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Design Method ◽  
Selection Index ◽  
Safety Evaluation ◽  
Highway Design ◽  
Change Rate ◽  
Evaluation Standard ◽  
Road Traffic Safety ◽  
Highway Alignment

Aiming at the disadvantages of traditional design method of highway alignment and existent problems including subjectivity, reliability index, comprehensive, applicability etcetera in highway alignment evaluation with running speed. On the basis of the “safety first” idea for highway design, the concept of change rate of curvature has been proposed. Curvature change rate is the clear factor impacting on road traffic safety. Road quality evaluation standard is established based on the curvature change rate and its application method in highway alignment design method. The method not only effectively evaluates highway alignment quality, but also may be used as the basis for the selection index of highway geometric design.

Research on the Model of Road Traffic Safety Evaluation Based on Synergetics Theory

2013 ◽  
Vol 779-780 ◽  
pp. 1028-1035 ◽  
Author(s):  
Fei Chen ◽  
Song Ling Chen ◽  
Ying Ying Cheng
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Field Survey ◽  
Road Traffic ◽  
Safety Evaluation ◽  
Road Traffic Safety

In order to evaluate the level of roads safety, this paper proposes a model of traffic accidents which is derived from theories of synergetics. In this study, a great deal of field survey date is obtained via a set of physiological and psychological detection devices. By analyzing data combined with driving comfort threshold, a model of traffic accidents is founded according to different effects, caused by traffic factors.

Pre-Warning Information System of Traffic Safety

2011 ◽  
Vol 368-373 ◽  
pp. 3320-3323
Author(s):  
Jun Long Peng ◽  
Da Wang
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Road Traffic ◽  
Safety Evaluation ◽  
Warning System ◽  
Processing Method ◽  
Average Speed ◽  
Road Traffic Safety ◽  
System Composition ◽  
Highway Transportation

Traffic safety dynamic trend pre-warning could effectively strengthenmonitoring strength of traffic management department, reduce the number of trafficaccident and ensure highway transportation orderly and smooth. This article analysestrend pre-warning system of traffic safety from the highway operation managementangle. Based on the above analysis, the trend dynamic pre-warning system composition and the information processing method are advanced. The processingmethods in according to the characteristics of road traffic safety, from trend impactsof traffic safety evaluation indicators use six indicators to reflect all aspects ofsecurity potential crises, such as average speed, traffic flow size, etc.

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.

Evaluation of Road Traffic Safety in Huai Yin District of Jinan City Based on AHP

2014 ◽  
Vol 505-506 ◽  
pp. 1167-1171
Author(s):  
Ya Fei Wang ◽  
Dong Xu Zhang
Keyword(s):  
Traffic Safety ◽  
Structural Model ◽  
Road Traffic ◽  
Safety Evaluation ◽  
Self Assessment ◽  
Analytic Hierarchy ◽  
Safety Level ◽  
The Road ◽  
Road Traffic Safety ◽  
Jinan City

Analytic Hierarchy Process (AHP), which needs less information and shorter time on decision-making, is selected for road traffic safety evaluation in this paper. Combined with the instance in Huai Yin district of Jinan city, the structural model that includes road conditions, intersections, straight sections, bends and ramps is proposed. Delphi method was used to construct the judgment matrix and then the MATLAB was used to calculate the corresponding weights of the various index of the entire road system. Combined with self-assessment of each index, then the safety level of the road is figured out.

Study on Road Traffic Safety Evaluation Based on Improved Bayes Model

2011 ◽  
Vol 97-98 ◽  
pp. 489-493
Author(s):  
Yao Ping Li ◽  
Jian Lin Li ◽  
Bin Li ◽  
Li Wei Hu
Keyword(s):  
Traffic Safety ◽  
Empirical Bayes ◽  
Safety Management ◽  
Road Traffic ◽  
Safety Evaluation ◽  
Road Traffic Safety ◽  
Accident Probability ◽  
Probability Prediction ◽  
Accident Data ◽  
The Impact

he traditional safety evaluation methods are mostly based on historical accident data, which belong to the macroscopical level and have obvious defects in traffic safety management. This paper established accident Probability Density Function by using Kernel Density Estimation (KDE), proposed Accident Probability Prediction (APP) model based on Empirical Bayes (EB) method for considering the impact of accident location characteristics and historical data. The paper also established the method for road traffic safety micro-evaluation by adopting Traffic Accident Probabilities of Equivalent ten thousand Cars (TAPEC) indicator, and a comparative evaluation was conducted by the proposed method against cumulative frequency curve method. Through analyzing accident data collected from the G301, the results show that the proposed method is more reliable and can access to the transformation priorities of potentially dangerous road sections. So it can provide theoretical basis for checking the dangerous sections and improving accident prevention and response.

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