scholarly journals Evaluation Techniques for Traffic Safety of Operating Highway Tunnels

2020 ◽  
Vol 145 ◽  
pp. 02027
Author(s):  
Hongbo WU
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Safety Evaluation ◽  
Comprehensive Analysis ◽  
Classification Criteria ◽  
Vertical Alignment ◽  
Pavement Condition ◽  
Factors Influencing ◽  
Evaluation Techniques ◽  
Tunnel Portal

With the consideration of frequent occurrence of traffic accidents on operating highway tunnels, the advancement of safety evaluation for highway tunnels in domestic and abroad are systematically summarized. Through the comprehensive analysis of infrastructure factors influencing on traffic safety of highway tunnels, safety checklists focusing on tunnel horizontal and vertical alignment, tunnel portal situation, pavement condition, ventilation and lighting facilities, traffic safety facilities are provided in qualitatively evaluating operating highway tunnels. Based on the concept of risk, risk assessment indices oriented in infrastructure factors, environmental factors and management factors for operation safety of expressway tunnels and standard highway tunnels are put forward. Quantitative evaluation methods based on indices architecture and the corresponding classification criteria for operation safety risk of tunnels are developed.

scholarly journals Ideological grounds of ensuring traffic safety

2020 ◽  
pp. 73-80
Author(s):  
Yury Nikolaevich Kalyuzhny
Keyword(s):  
Social Relations ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Comprehensive Analysis ◽  
Value Orientations ◽  
Controversial Issues ◽  
Negative Consequences ◽  
Legal Norms ◽  
Legislative Regulation ◽  
Legal Forms

The subject of this research is the legal norms and scientific sources that characterize the ideological grounds of ensuring traffic safety. The object of this research is the social relations that determine the framework for ensuring traffic safety. Examination of the normative legal acts and scientific literature, allows conducting a comprehensive analysis of ideological grounds of ensuring traffic safety. The author indicates certain scientific problems of legislative regulation of the sphere under review, and resumes that the presence of state ideology within the system of legal norms is inevitable. The conclusion is formulated that the ideological grounds of ensuring traffic safety are based on the system of views, ideas, and value orientations from the perspective of personal, social, and state levels. The author claims that the state uses law as the official ideology. The ideological grounds of ensuring traffic safety, associated with implementation of state policy in indicated field of research, represent legal forms of ensuring traffic safety, which contribute to the perception of law by personal and public legal awareness, which positively impacts legal mentality of the society, reducing the risk of traffic accidents and their negative consequences. The novelty of this work consists in the comprehensive analysis of theoretical legal and organizational aspects that characterize the ideological grounds of ensuring traffic safety, determine controversial issues in legislative regulation of the system of views, ideas, and value orientations for ensuring traffic safety from the perspective of personal, social, and state levels.

scholarly journals Safety evaluation of left-turn priority phasing at Toronto intersections

2021 ◽  
Author(s):  
Anwarul Haq Dogar
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Safety Evaluation ◽  
Vital Role ◽  
Signalized Intersections ◽  
Side Impact ◽  
Empirical Bayesian ◽  
Left Turn ◽  
Safety Performance Functions ◽  
The City

Traffic accidents cause a huge loss to the society. According to statistics, 50% of all accidents occur at urban intersections and 47% of these are due to left-turn collisions. Countermeasure Implementation at these locations therefore can play a vital role in the improvement of traffic safety. This study illustrates a methodology for evaluation of urban 4-legged signalized intersections treated with left-turn priority phasing. The methodology is applied to three important collisions types: those due to left-turn collisions; those due to left-turn side impact collisions; and all impact types combined collisions. Data used in this analysis were obtained from the City of Toronto. Safety Performance Functions for left-turn and all impact types combined collisions which were developed by the City of Toronto, were calibrated and used in an empirical Bayesian methodology that was employed to estimate the expected frequency of accidents occurring at each intersection in order to evaluate the effectiveness of left-turn priority phasing in reducing this frequency. The results revealed that left-turn priority phasing can be an effective treatment for addressing and reducing the number of collision at signalized intersections. Flashing advance green phasing is more effective in improving safety for two of three types; all left-turn and all impact types combined collisions. Left-turn green arrow (protected/permissive) phasing is more effective for left-turn side impact collisions. By implementing this type of treatment, the number of crashes and the associated monetary loss to society could be significantly reduced.

scholarly journals Safety evaluation of left-turn priority phasing at Toronto intersections

2021 ◽  
Author(s):  
Anwarul Haq Dogar
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Safety Evaluation ◽  
Vital Role ◽  
Signalized Intersections ◽  
Side Impact ◽  
Empirical Bayesian ◽  
Left Turn ◽  
Safety Performance Functions ◽  
The City

Traffic accidents cause a huge loss to the society. According to statistics, 50% of all accidents occur at urban intersections and 47% of these are due to left-turn collisions. Countermeasure Implementation at these locations therefore can play a vital role in the improvement of traffic safety. This study illustrates a methodology for evaluation of urban 4-legged signalized intersections treated with left-turn priority phasing. The methodology is applied to three important collisions types: those due to left-turn collisions; those due to left-turn side impact collisions; and all impact types combined collisions. Data used in this analysis were obtained from the City of Toronto. Safety Performance Functions for left-turn and all impact types combined collisions which were developed by the City of Toronto, were calibrated and used in an empirical Bayesian methodology that was employed to estimate the expected frequency of accidents occurring at each intersection in order to evaluate the effectiveness of left-turn priority phasing in reducing this frequency. The results revealed that left-turn priority phasing can be an effective treatment for addressing and reducing the number of collision at signalized intersections. Flashing advance green phasing is more effective in improving safety for two of three types; all left-turn and all impact types combined collisions. Left-turn green arrow (protected/permissive) phasing is more effective for left-turn side impact collisions. By implementing this type of treatment, the number of crashes and the associated monetary loss to society could be significantly reduced.

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.

Evaluation of Traffic Safety of Curved Section with Gray Theory Based on the Driving Track

2012 ◽  
Vol 588-589 ◽  
pp. 2117-2120
Author(s):  
Jian Feng Xi ◽  
Zhen Hai Gao ◽  
Bo Qi ◽  
Hai Zhu Liu
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Evaluation Method ◽  
Safety Evaluation ◽  
The Other ◽  
Evaluation Index ◽  
Gray Theory ◽  
Traffic Conflict ◽  
Curved Section

Curved section is one of the sections where happened extraordinarily serious traffic accidents in China. Until now, one kind of the traffic safety evaluation method based on the accident indexes, the other based on the non-accident indexes, just as the traffic conflict technique. But there are difficulties in collecting data when the evaluation of traffic safety on specific road sections is applied. So, one safety evaluation method for the curved sections is putting forward, in which the deviation value between the driving track and safe trajectory is used as the evaluation index, and the gray evaluation method is applied. The case study shows that, the method in this paper could be a new way for traffic safety evaluation.

scholarly journals A Safety Evaluation Model of Intersections under Mixed Traffic Conditions Using Traffic Conflicts and Cloud Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xuan Can Vuong ◽  
Rui-Fang Mou ◽  
Trong Thuat Vu ◽  
Van Hung Tran ◽  
Chi Trung Nguyen
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Cloud Model ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Actual State ◽  
Practical Implementation ◽  
Safety Level ◽  
Traffic Conflict ◽  
Accident Data

Safety evaluation of traffic conflict is a very important and challenging issue in evaluating intersection safety under incomplete traffic accident data conditions and is also one of the main safety surrogate measures of analyzing accident data recently. It helps to analyze and solve intersection problems comprehensively and deeply. From there, it helps to improve traffic safety as well as reduce the risk of traffic accidents at intersections. Various evaluation methods based on traffic conflict have been proposed to make conflict safety levels at intersections more consistent and objective. However, a major concern is that many existing measurements are still subjective and are not easy to obtain uniformly. This study aimed to develop a model for safety evaluation at intersections in a comprehensive way that may be expected to directly link to the severity of the accident from different evaluation indicators. First, the three factors, including time to collision (TTC), conflicting speed (CS), and deceleration rate (DR) to avoid a crash, are introduced into safety evaluation of conflicts as the indicators. And then, as regards the fuzziness and randomness of the evaluation indicators, the qualitative concept has to be converted into a quantitative one utilizing cloud model, which implements the natural transformation between the qualitative concept of the safety level of traffic conflict and the membership degree of the evaluation indicators corresponding to the different safety levels. Finally, an indicator weight model is built based on the information entropy and the AHP method to determine the safety level. We illustrate the practical implementation of the proposed method using actual data of a typical signalized intersection from Hanoi City of Vietnam. The results indicate that traffic conflict analyzed by the proposed method was appropriate with actual state of the intersection, and the proposed method is simple, effective, and feasible, so it has a certain application value.

Assessing Safety of Signalized Intersections: Influence of Geometric Attributes and Regionality on Traffic Accident Risk

2017 ◽  
Vol 2659 (1) ◽  
pp. 71-79 ◽  
Author(s):  
Yasuhiro Shiomi ◽  
Kazuki Watanabe ◽  
Hideki Nakamura ◽  
Hirokazu Akahane
Keyword(s):  
Traffic Safety ◽  
Regional Differences ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Numerical Data ◽  
Google Earth ◽  
Signalized Intersections ◽  
Accident Risk ◽  
Collision Risk ◽  
Factors Influencing

Traffic accidents constitute a serious social problem. Thus, it is essential to identify and remove the risk factors affecting traffic accidents to enhance traffic safety at intersections. This study identified and quantified the main factors influencing traffic accident risk at signalized intersections to propose effective countermeasures. Google Earth was used to collect numerical data related to the geometric attributes of intersections in three regions in Japan: Kagawa, Shiga, and Aichi. A lognormal hurdle model that considered regionality and geometric attributes was then used to quantify factors influencing the risk of traffic accidents involving various types of collisions. The results indicate the existence of significant regional differences in the geometric attributes of intersections in those regions. The findings reveal that intersection size (indicated by the distance between stop lines), length of crosswalks, and setback distance of crosswalks generally and significantly influence all collision risk types; in addition, a compact intersection lowered the risk of all collision types. And in most cases, regional dummy variables were statistically significant. This finding suggests that in addition to intersection geometric attributes, regional differences in some factors influenced collision risk. Thus, it could be reasonably assumed that regionality stemmed from differences in driving characteristics.

Influence of Vertical Alignment of Expressway Tunnel on Traffic Safety of Tunnel

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Yifei Zhao ◽  
Jun Wang ◽  
Shunchao Yin ◽  
Jiaqing He ◽  
Zhongyi Chen
Keyword(s):  
Traffic Safety ◽  
Vertical Alignment

Standard against nonstandard urban intersection nighttime traffic safety evaluation using cross-sectional method

2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Hamid Mirzahossein ◽  
Hamid Reza Behnood ◽  
Mohammad Reza Eskandari ◽  
Abolfazl Khishdari
Keyword(s):  
Traffic Safety ◽  
Safety Evaluation ◽  
Cross Sectional
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