scholarly journals Evaluation Method of Traffic Safety Maintenance of High-Grade Highway

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ying Wang ◽  
Yanfei Chen
Keyword(s):  
Traffic Safety ◽  
Evaluation Method ◽  
Evaluation Model ◽  
High Grade ◽  
Highway Traffic ◽  
Safety Level ◽  
Maintenance And Repair ◽  
The Road ◽  
Road Traffic Safety ◽  
Correlation Degree

AbstractWith the evolution of better highway services and larger traffic volume, the traditional maintenance management indicators can no longer satisfy the demands of highway traffic safety. In order to ensure timely, fast, safe, and reliable highway maintenance and repair, this paper proposes a road traffic safety maintenance evaluation method. The fuzzy maintenance evaluation method based on the gray correlation degree is used to construct the safety maintenance evaluation model. The damaged characteristics of the high-grade highway components are analysed. The parameters of the evaluation model are established using the analytic hierarchy process, and the accuracy of the model is verified through experiments. The results show that the safety service level can intuitively measure the maintenance and repair status of various transportation facilities. When the safety level is 1 (above 87 points) or 2 (above 85 points), the road maintenance and repair are in good condition and the road users have a high level of satisfaction on safety; when the safety level is 3 or 4 (80 points or less), it reflects that there are weak links in the road components, and targeted maintenance repairs are required. The results provide references for highway safety maintenance decision-making and improvement of highway traffic safety services to some extent.

scholarly journals Influence of Legislation on Road Traffic Safety

2012 ◽  
Vol 22 (1) ◽  
pp. 75-81
Author(s):  
Marijan Rajsman ◽  
Georg-Davor Lisicin
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Prognostic Models ◽  
Legal Regulations ◽  
Improvement Strategy ◽  
Safety Level ◽  
The Road ◽  
Road Traffic Safety ◽  
The Republic ◽  
Basic Hypothesis

The objective of this paper is to analyse road traffic safety in the Republic of Croatia based on the selected indicators which were used by the legislator in bringing the Law on Road Traffic Safety which has been in force since 28 July 2004, and the achieved effects in reaching the desired safety level in the three-year period from 2005 to 2007. The aim of the research is to establish a prognostic trend of the values of the studied indicators in the time period following the enforcement of new legal regulations. Adequate safety indicator values for the respective period were analyzed using the methods of analysis and synthesis, mathematical statistics as well as trend assessment based on the found mathematical prognostic models. Based on the results of this research it was found that the basic hypothesis according to which the implementation of new legal guidelines had to result in positive change in the condition of road traffic safety, failed to be confirmed. A change in the road traffic safety improvement strategy has been proposed as well as a more significant participation and recognition of the profession and science in this field which is of great significance for the society. KEY WORDS: influence of legal regulations, road traffic safety, effects and tendencies

High-Grade Highway Safety Evaluation Method Based on Grey Clustering

2012 ◽  
Vol 594-597 ◽  
pp. 1412-1415
Author(s):  
Sheng Neng Hu
Keyword(s):  
Traffic Safety ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Highway Safety ◽  
High Grade ◽  
Highway Transportation ◽  
Grey Clustering ◽  
Safe Condition ◽  
Safety First

Evaluation for traffic safety is very important to improve traffic safety. First analyzes high grade highway security characteristic, then according to grey characteristics of traffic safety system, proposed high grade highway grey clustering evaluation model, and carries on the model to Henan province high grade highway's safe condition status evaluation, thus confirms this method the validity. The research showed that this model is a effective way which measure high grade highway transportation degree of security.

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.

ADMINISTRATIVE SANCTIONS FOR DRIVING UNDER THE ALCOHOL INFLUENCE

2016 ◽  
Vol 1 (74) ◽  
pp. 83
Author(s):  
Jana Zīle
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Driving Under The Influence ◽  
The European Union ◽  
Safety Level ◽  
Improvement Rate ◽  
The Road ◽  
Eu Member States ◽  
Road Traffic Safety ◽  
Administrative Sanctions

The relative indicators of road traffic safety in Latvia are still amongst the worst in the EU Member States, despite the fact that the road safety level improvement rate in Latvia is one of the best in the European Union. Despite the reduction of severity of road accidents, it is still higher than the best national figures of EU. The publication examines the sanctions for driving under the influence of alcohol or narcotic or other intoxicating substances and their impact on traffic safety in Latvia, court statistics is analysed. The authors also provide their proposals for improving the situation.

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.

A fuzzy evaluation method of road vehicle automatic weighing instrument in dynamic force metrological performance

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1365-1372
Author(s):  
Xiaohui Mao ◽  
Liping Fei ◽  
Xianping Shang ◽  
Jie Chen ◽  
Zhihao Zhao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Dynamic Performance ◽  
Dynamic Force ◽  
Fuzzy Evaluation ◽  
Road Vehicle ◽  
Evaluation Standard ◽  
The Road ◽  
Metrological Performance

The measurement performance of road vehicle automatic weighing instrument installed on highways is directly related to the safety of roads and bridges. The fuzzy number indicates that the uncertain quantization problem has obvious advantages. By analyzing the factors affecting the metrological performance of the road vehicle automatic weighing instrument, combined with the fuzzy mathematics theory, the weight evaluation model of the dynamic performance evaluation of the road vehicle automatic weighing instrument is proposed. The factors of measurement performance are summarized and calculated, and the comprehensive evaluation standard of the metering performance of the weighing equipment is obtained, so as to realize the quantifiable analysis and evaluation of the metering performance of the dynamic road vehicle automatic weighing instrument in use, and provide data reference for adopting a more scientific measurement supervision method.

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

2019 ◽  
Vol 11 (12) ◽  
pp. 1453 ◽  
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.

scholarly journals An analysis of road pavement collapses and traffic safety hazards resulting from leaky sewers

2016 ◽  
Vol 11 (4) ◽  
pp. 251-258 ◽  
Author(s):  
Emilia Kuliczkowska
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Safety Hazards ◽  
Sewer Pipes ◽  
The Road ◽  
Road Traffic Safety ◽  
Road Pavement ◽  
Linear Defects ◽  
University Of Technology ◽  
Pavement Damage

In this paper, road pavement collapses resulting from sewer leakage are divided into six categories: negligible, marginal, considerable, serious, very serious and catastrophic, with the categorization being based on two criteria, both related to traffic safety, i.e., the number of fatalities caused by sinkholes, and the extent of the road pavement damage. The causes of road pavement collapses are also discussed. The study involved analyzing the deterioration of sewer pipes with long service lives, focusing on the most common materials, i.e., concrete and vitrified clay. The results of the sewer inspections performed by the Kielce University of Technology suggest that the spot and linear defects detected in sewers of this type can be divided into three groups. The findings were used to formulate some recommendations on how to improve road traffic safety by preventing road pavement collapses.

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