The Evaluation Method of Traffic Safety Countermeasures based on Intersection Accident Rate Estimation Model in Each Types

The article considers the results of research of accident rate heterogeneity in cities-administrative centers of subjects of Russian Federation (2015, 2016). Using methods of ranging, regression analysis and spatial differentiation these cities were classified into 5 classes on the basis of relative disadvantage in road traffic safety sphere. For each group of cities differentiated recommendations on financing regional road traffic safety programs were suggested.

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Automated Visual Recognizability Evaluation of Traffic Sign Based on 3D LiDAR Point Clouds

Remote Sensing ◽

10.3390/rs11121453 ◽

2019 ◽

Vol 11 (12) ◽

pp. 1453 ◽

Cited By ~ 5

Author(s):

Shanxin Zhang ◽

Cheng Wang ◽

Lili Lin ◽

Chenglu Wen ◽

Chenhui Yang ◽

...

Keyword(s):

Traffic Safety ◽

Laser Scanning ◽

Large Scale ◽

Evaluation Method ◽

Evaluation Model ◽

Point Clouds ◽

Traffic Sign ◽

Traffic Signs ◽

3D Point Clouds ◽

Traffic Environment

Maintaining the high visual recognizability of traffic signs for traffic safety is a key matter for road network management. Mobile Laser Scanning (MLS) systems provide efficient way of 3D measurement over large-scale traffic environment. This paper presents a quantitative visual recognizability evaluation method for traffic signs in large-scale traffic environment based on traffic recognition theory and MLS 3D point clouds. We first propose the Visibility Evaluation Model (VEM) to quantitatively describe the visibility of traffic sign from any given viewpoint, then we proposed the concept of visual recognizability field and Traffic Sign Visual Recognizability Evaluation Model (TSVREM) to measure the visual recognizability of a traffic sign. Finally, we present an automatic TSVREM calculation algorithm for MLS 3D point clouds. Experimental results on real MLS 3D point clouds show that the proposed method is feasible and efficient.

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USING GENERALIZED STOCHASTIC METHOD TO EVALUATE PROBABILITY OF CONFLICT IN CONTROLLED AIR TRAFFIC

Aviation ◽

10.3846/16487788.2007.9635958 ◽

2007 ◽

Vol 11 (2) ◽

pp. 31-36 ◽

Cited By ~ 2

Author(s):

Vitaly Babak ◽

Volodymyr Kharchenko ◽

Volodymyr Vasylyev

Keyword(s):

Differential Equation ◽

Partial Differential Equation ◽

Traffic Safety ◽

Evaluation Method ◽

Air Traffic ◽

Collision Probability ◽

Parabolic Partial Differential Equation ◽

Partial Differential ◽

Potential Conflict ◽

Infinitesimal Operator

The introduction of the new concepts of air traffic management (ATM) and transition from centralized to decentralized air traffic control (ATC) with the change of traditional ATM to Cooperative ATM sets new tasks and opens new capabilities for air traffic safety systems. This paper is devoted to the problem of evaluating the probability of aircraft collision under the condition of Cooperative ATM, when the necessary information is available to the subjects involved in the decision‐making process. The generalized stochastic conflict probability evaluation method is developed. This method is based on the generalized conflict probability equation for evaluation of potential conflict probability and aircraft collision probability that is derived by taking into account stochastic nature and time correlation of deviation from planned flight trajectory in controlled air traffic. This equation is described as a multi‐dimensional parabolic partial differential equation using a differential (infinitesimal) operator of the multi‐dimensional stochastic process of relative aircraft movement. The common procedure for the prediction of conflict probability is given, and the practical application of the generalized method presented is shown. All equational coefficients of a differential operator for a practical solution of a parabolic partial differential equation are derived. For some conditions, the numerical solution of the conflict probability equation is obtained and illustrated graphically.

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The concept of average speed measurements network in the West Pomeranian

AUTOBUSY – Technika Eksploatacja Systemy Transportowe ◽

10.24136/atest.2018.390 ◽

2018 ◽

Vol 19 (12) ◽

pp. 238-241

Author(s):

Katarzyna Sosik

Keyword(s):

Traffic Safety ◽

Road Traffic ◽

Road Transport ◽

Transport Systems ◽

Intelligent Transport Systems ◽

The West ◽

Accident Rate ◽

Average Speed ◽

Intelligent Transport ◽

Road Traffic Safety

The article presents the concept of implementing a network of average speed measurements in the West Pomeranian. The author focused on solutions of Intelligent Transport Systems to improve the safety of road transport. The first part of the article discusses the state of road traffic safety in the West Pomeranian. In the next part, the solutions of Intelligent Transport Systems used to record the speed of road vehicles and the method of data recording and processing were discussed. In the third part, the accident maps and the locations of the stored sectional speed measurements were analysed, on the basis of which the proposition of places for the implementation of the network of average speed measurements was created due to the high accident rate.

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Determination of Curve Speed Zones for Mountainous Freeways

Mathematical Problems in Engineering ◽

10.1155/2020/8844004 ◽

2020 ◽

Vol 2020 ◽

pp. 1-11

Author(s):

Yongtao Liu ◽

Jie Qiao ◽

Yanting Hu ◽

Tengyuan Fang ◽

Ting Xu ◽

...

Keyword(s):

Traffic Safety ◽

Warning Signs ◽

Driving Safety ◽

Warning Sign ◽

Speed Limit ◽

Vehicle Speed ◽

Estimation Model ◽

Traffic Efficiency ◽

Safety Warning ◽

The Difference

Different vehicular speed limits may have an impact on the balance between safety and efficiency of travel on mountainous road corners associated with complex road conditions. Placing suitable speed limit warning signs does not merely effectively improve traffic safety but can also improve traffic efficiency. In this study, a global positioning system (GPS) terminal and Metrocount were used to collect vehicle speed data from more than 40 provincial-level curves in 8 provinces over the course of 1 year. Each road data collection time-period lasted approximately 8 hours. A descriptive statistics method was adopted by means of data screening and pretreatment. Additionally, both a velocity difference estimation model was established and a linear model of velocity differential estimation was constructed. Quantitative analysis was carried out on the safe speed, the driver’s expected speed, and the location of the speed limit warning signs. This demonstrated a positive correlation with the initial speed. When the difference in speed was greater than 15 km/h, a safety warning sign was required to limit the design speed to 80 km/h. A safety warning sign was also required when the corner radius was less than 300 m. The location of safety warning signs could be calculated based on the operating speed and taking driving safety and the visual range of drivers into consideration. The results can provide a theoretical reference for setting up appropriate safe speed limiting signs on road corners in mountainous areas.

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Modeling and Estimation of Production Rate in Ornamental Stones Sawing Based on Brittleness Indexes

Mathematical Problems in Engineering ◽

10.1155/2019/3232517 ◽

2019 ◽

Vol 2019 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Pan Wang

Keyword(s):

Tensile Strength ◽

Compressive Strength ◽

Production Rate ◽

Estimation Model ◽

Rate Estimation ◽

Rock Types ◽

Ornamental Stones ◽

Method Of Production ◽

Improved Model ◽

The Cost

As for estimating the cost and planning the process of the rock sawing plants, it is significant to predict the production rate of ornamental stones sawing. To promote the efficiency in planning these rock sawing projects, scholars have been trying to find a high-accuracy method of production rate estimation. Moreover, targeting at the 28 granite and carbonates stone in the nature, this study examined the connection between two various brittleness indexes in statistics, including the ratio of compressive strength to tensile strength (B1) and places below the line of compressive strength and the line of tensile strength (B2) in rocks and production rate had been studied. Through the results of cross plots analysis, it was indicated that there existed a strong connection between production rate and the brittleness B1 and B2. Finally, in this thesis, through adding B1 factor, it has improved the estimation model for production rate which Mikaeil et al. (2013) have established. What’s more, by virtue of brittleness about B1 and B2, this production rate estimation model has been established successfully for natural stone sawing. Actually, the way of estimating the production rate of 28 rock samples is to utilize the two kinds of models described before. Through the result, it is showed that the production rate estimated by the improved model corresponds to the value of production rate of rock testing. Meanwhile, the precision has been greatly improved with comparison to the model of estimating the production rate designed by Mikaeil et al. (2013). Thus, on the basis of the new model, a dependable prediction for ornamental stones production is put forward in this paper. And it is required to do a further study involving different rock types since limited rock types were used in this study.

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.639-640.544 ◽

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.

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Risk Evaluation in Marine Traffic Systems Based on Fuzzy Catastrophe Theory

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.527.319 ◽

2014 ◽

Vol 527 ◽

pp. 319-325

Author(s):

Ji Qi ◽

Zhong Yi Zheng ◽

Jian Min Li

Keyword(s):

Risk Prediction ◽

Traffic Safety ◽

Catastrophe Theory ◽

Evaluation Method ◽

Risk Model ◽

Marine Traffic ◽

State Evaluation ◽

Prediction And Control ◽

Traffic Systems ◽

And Control

The main purpose of MArine Traffic Safety System (MATSS) study, based on catastrophe theory, is to ensure the safety of marine traffic and reveal the essence of traffic risks, and so as to create an effective risk prediction and control mechanism. In this paper, cusp catastrophe was modeled and evolutionary path of MATSS was described. Hence, Fuzzy Catastrophe Theory was concluded. This theory combines Fuzzy Math with Catastrophe Theory and is derived from analysis of uncertainties of marine traffic, including dynamics, irreversibility and mutability. The adverse impacts of system potential function and uncertainties of outside controlling factors were minimized via developing such a theory. The marine traffic risk model was created taking perspectives of various observers into consideration accordingly. As a result, Fuzzy Catastrophe Evaluation Method was presented, which is beneficial to the system safety state evaluation and decision. In the end of the paper, the objectivity and rationality of the method was validated by MATLAB, which has broad application in marine risk prediction and control.

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