Analysis on Risk Characteristics of Traffic Accidents in Small-Spacing Expressway Interchange

Wang, YanPeng; Xu, Jin; Liu, Xingliang; Zheng, Zhanji; Zhang, Heshan; Wang, Chengyu

doi:10.3390/ijerph19169938

Cited by 9 publications

(6 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This was achieved by implementing a policy that permitted only vehicles on the outer and auxiliary lanes to change lanes inward near the exits [21,42]. Wang developed a regression model to explore the accident characteristics of small-spacing interchanges based on the number of accidents counted [43].…”

Section: Small Spacing Interchange Improvement Methodsmentioning

confidence: 99%

Research on Efficient Operation for Compound Interchange in China from an Auxiliary Lanes Configuration Aspect

Tian,

Shi,

Yang

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

Interchanges are the key nodes of the freeway. Due to the existence of weaving behavior, the traffic flow situation is more complicated for small spacing interchanges. Continuous auxiliary lanes are usually used to connect the entrance and exit to form a compound interchange to reduce the interference of weaving behavior. However, when it comes to the design of auxiliary lane forms, China lacks relevant design specifications and research in this area. As a result, there often exists the phenomenon of mismatch between the design form and the traffic volume. In this paper, we took a compound interchange in Xi’an as the research object, proposing four auxiliary lane design schemes and using VISSIM (2022 student) software to establish the simulation model. Additionally, various traffic conditions were simulated through sensitivity analysis. Finally, using the factor analysis method and entropy method, we comprehensively assigned weights to the indexes. By obtaining the weighted scores for various schemes, it became possible to determine the applicability of each scheme under different traffic conditions. The results indicate that the gradient auxiliary lane can be applied to most traffic conditions and has a smaller land occupation than the traditional design, which is an optimization and improvement for the traditional design form.

show abstract

Section: Small Spacing Interchange Improvement Methodsmentioning

confidence: 99%

Research on Efficient Operation for Compound Interchange in China from an Auxiliary Lanes Configuration Aspect

Tian,

Shi,

Yang

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Several studies have pointed out various factors that cause traffic accidents and fatalities (e.g., [19]). This research has identified the following factors (apart from driver uncertainty) that contribute to accidents, as follows: environmental conditions, the state of infrastructure, and technical vehicle causes [20]. Moreover, fatigue [21], alcohol [22], emotional state, drowsiness, headaches [23], respiratory illnesses, and fever [24,25] are conditions that increase the likelihood of a traffic accident.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Evaluation of a Front Braking Light for Improving Safety in Road Transport

Poliak

Dvorský

Zýka³

et al. 2023

Mathematics

View full text Add to dashboard Cite

The aim of innovations in road safety is to contribute to the better protection of road users and to minimize damage to their property. The main objective of this article is to identify disparities in perceptions of a front braking light by examining the road safety of road users based on their type of employment and the number of kilometers driven per year. The research will evaluate the attitudes of selected groups of road users based on the number of kilometers driven in a calendar year and whether driving a motor vehicle is their main duty as part of their job. The analysis involved 239 respondents using a paper questionnaire. Disparities in perceptions of innovations, with regard to road safety, were evaluated using contingency tables, chi-square tests, non-parametric tests, and Cramer’s V. Road users feel much safer with a front braking light when crossing traffic comprising vehicles and pedestrians (71%), at pedestrian crossings (74%), when turning left (63.4%), as well as when crossing traffic comprising multiple vehicles (62.5%). Disparities between respondents based on the type of employment of the road user were not confirmed. Road users with a higher number of driven kilometers have a more positive perception of the front braking light at pedestrian crossings.

show abstract

“…The prevalence of driving under the influence poses significant risks, with drunk driving incidents accounting for a large fraction of road accidents [1] [2].With persistent high fatalities from traffic accidents, the focus on driving safety is more critical than ever. Research highlights that driver distraction, fatigue, intoxication, and environmental misjudgment are among the leading causes of vehicular accidents, underscoring the need for real-time monitoring systems that ensure driver and environmental safety [3]. The advent of artificial intelligence, machine vision, and sensor technology heralds new solutions to these challenges.…”

Section: Introductionmentioning

confidence: 99%

Design of a Multidimensional Intelligent Safety Driving Monitoring System Based on Machine Vision

Song,

Yun,

Wang

et al. 2024

AJST

View full text Add to dashboard Cite

This study introduces a multidimensional driving safety monitoring system that integrates millimeter-wave radar and an Arduino Uno-based alcohol sensor. The system aims to enhance driving safety and prevent accidents by real-time monitoring and analysis of the driving environment, driver's condition, and vehicle dynamics using machine vision technology. Utilizing millimeter-wave radar, the system precisely detects obstacles and pedestrians around the vehicle, facilitating efficient distance and speed measurements to support automatic emergency braking and collision warnings. Additionally, the Arduino Uno-based alcohol sensor monitors the driver's breath for alcohol concentration, ensuring the driver is in a suitable state for driving. Combined with machine vision technology, the system further analyzes video stream data from inside and outside the cockpit, monitoring driver behavior and external traffic conditions to enhance the identification of potential risks. The success of this research illustrates the potential of combining machine vision with advanced sensor technologies, offering new insights for the development of comprehensive driving assistance systems.

show abstract

Analysis on Risk Characteristics of Traffic Accidents in Small-Spacing Expressway Interchange

Cited by 9 publications

References 32 publications

Research on Efficient Operation for Compound Interchange in China from an Auxiliary Lanes Configuration Aspect

Research on Efficient Operation for Compound Interchange in China from an Auxiliary Lanes Configuration Aspect

Evaluation of a Front Braking Light for Improving Safety in Road Transport

Design of a Multidimensional Intelligent Safety Driving Monitoring System Based on Machine Vision

Contact Info

Product

Resources

About