Using multi-regression to analyze and predict road traffic safety level in China

2015 ◽  
Author(s):  
Hao Cai ◽  
Dunyao Zhu ◽  
Lixin Yan
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Safety Level ◽  
Road Traffic Safety

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

scholarly journals Response of Motor Vehicles, Front and Rear Axles of Which Are Fitted with Different Tires. Main Aspects

2020 ◽  
Vol 329 ◽  
pp. 01012
Author(s):  
Vladimir Makarov ◽  
Yuriy Molev ◽  
Dimitriy Proshin ◽  
Maksim Cherevastov
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Resistance Coefficient ◽  
Road Accident ◽  
Motor Vehicles ◽  
Steering Wheel ◽  
Stabilization Time ◽  
Safety Level ◽  
Road Traffic Safety ◽  
Slip Resistance

This work shows the modelling of change of such a controllability indicator as the stabilization time, using the design model of a vehicle with tires of different stiffness on the front and rear axles. The influence of the change in the lateral slip resistance coefficient of the front and rear wheels of the vehicle on the safe speed at which the stabilization reaction of the vehicle to the steering wheel turn will be aperiodic monotonic rather than oscillating, is established. The dependences of the magnitude of the stabilization time on the degree of change in the lateral slip resistance coefficient of the front and rear wheels, are obtained. The limiting values of the change in the parameters of the wheels providing the specified parameters of controllability which ensure acceptable road traffic safety level, are established. It is established that the maximum impact on the deterioration of the response of vehicle is exerted by the wheels design. On the other hand, their geometric dimensions have little to no road traffic safety impact. Based on the research carried out, it is necessary to conclude that in order to ensure road traffic safety, it is necessary to stop using the tires with different designs on different axles of the vehicle. Herewith, the pressure in the tires of the vehicle must not be less than the values set by the manufacturer. The results obtained are of interest to employees of institutions monitoring traffic indicators and technical condition of vehicles as well as carrying out road accident reviews.

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.

Theoretical Calculation of the Maximum Speed Limit Value on Freeway in Adverse Weather

2012 ◽  
Vol 209-211 ◽  
pp. 663-666
Author(s):  
Yu Feng Guo ◽  
Guo Zhu Cheng
Keyword(s):  
Theoretical Calculation ◽  
Traffic Safety ◽  
Road Traffic ◽  
Driving Safety ◽  
Maximum Speed ◽  
Speed Limit ◽  
Safety Level ◽  
Road Traffic Safety ◽  
Limit Value ◽  
Adverse Weather

In order to increase driving safety level on freeway, the paper analyzed the affecting mechanism of rainy day, snowy day and foggy day on road traffic safety. Considering that the sum of running distance and braking distance is less than visible distance, theoretical calculation formula of maximum speed limit value on freeway in adverse weather was presented based on the safe distance. Suggestions values of corresponding speed limit were given according to different visible distance, road fiction coefficient and grade.

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.

Road Traffic Safety Assessment Based on the ADAMS/Car under Snow and Freezing Weather

2012 ◽  
Vol 226-228 ◽  
pp. 2366-2369
Author(s):  
Tie Qiang Li ◽  
Rong Guo Ma ◽  
Fang Chao Wu ◽  
Ya Juan Deng
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Lateral Displacement ◽  
Weather Conditions ◽  
Coupling Model ◽  
Steering Angle ◽  
Safety Level ◽  
Road Traffic Safety ◽  
Road Friction ◽  
The Difference

In order to assess the traffic safety in snow and freezing weather accurately, determined the difference of vehicle lateral displacement of snow freezing and normal weather conditionsthe as the indicator, vehicle model, road model and vehicle-road coupling model were set up by using software ADAMS/Car. By changing road friction cofficient, road conditions in snow and freezing weather were simulated, step steering were carried out, vehicle lateral displacement of different speed and steering angle were obtained, the difference of vehicle lateral displacement of different speed and steering angle under snow and freezing weather and normal weather conditions were calculated, then the curve of difference of vehicle lateral displacement were generated, traffic safety level division of road under snow and freezing weather were researched based on these curves.

scholarly journals Traffic Accident Prediction Based on LSTM-GBRT Model

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Zhihao Zhang ◽  
Wenzhong Yang ◽  
Silamu Wushour
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Short Term Memory ◽  
Road Traffic ◽  
Boosted Regression Trees ◽  
Safety Level ◽  
Accident Prediction ◽  
Road Traffic Safety

Road traffic accidents are a concrete manifestation of road traffic safety levels. The current traffic accident prediction has a problem of low accuracy. In order to provide traffic management departments with more accurate forecast data, it can be applied in the traffic management system to help make scientific decisions. This paper establishes a traffic accident prediction model based on LSTM-GBRT (long short-term memory, gradient boosted regression trees) and predicts traffic accident safety level indicators by training traffic accident-related data. Compared with various regression models and neural network models, the experimental results show that the LSTM-GBRT model has a good fitting effect and robustness. The LSTM-GBRT model can accurately predict the safety level of traffic accidents, so that the traffic management department can better grasp the situation of traffic safety levels.

Safety Enhancement by Automated Driving: What are the Relevant Scenarios?

2020 ◽  
Vol 64 (1) ◽  
pp. 1686-1690
Author(s):  
Niklas Grabbe ◽  
Michael Höcher ◽  
Alexander Thanos ◽  
Klaus Bengler
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Test Cases ◽  
Automated Driving ◽  
Road Traffic Safety ◽  
Human Driver ◽  
Driving Task ◽  
Promising Solution ◽  
Vehicle Automation ◽  
Safety Enhancement

Automated driving offers great possibilities in traffic safety advancement. However, evidence of safety cannot be provided by current validation methods. One promising solution to overcome the approval trap (Winner, 2015) could be the scenario-based approach. Unfortunately, this approach still results in a huge number of test cases. One possible way out is to show the current, incorrect path in the argumentation and strategy of vehicle automation, and focus on the systemic mechanisms of road traffic safety. This paper therefore argues the case for defining relevant scenarios and analysing them systemically in order to ultimately reduce the test cases. The relevant scenarios are based on the strengths and weaknesses, in terms of the driving task, for both the human driver and automation. Finally, scenarios as criteria for exclusion are being proposed in order to systemically assess the contribution of the human driver and automation to road safety.

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