Understanding drivers’ awareness, habits and intentions inside road tunnels for effective safety policies

Lee, Jae Young; Kirytopoulos, Konstantinos; Pervez, Amjad; Huang, Helai

doi:10.1016/j.aap.2022.106690

Cited by 23 publications

(11 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Same results are also pinpointed in Lee et al 13 Furthermore, findings underscore the absence of information efforts and any training efforts. 12,13 Regarding users' safety awareness of tunnel facilities and installations, Zeeri et al 4 refers that a significant part of drivers are unfamiliar with the proper usage of fire extinguishers and emergency telephone booths and are unwilling to abandon their car in the event of a fire accident. Kirytopoulos et al 3 indicates that a substantial proportion of respondents disregard them, putting themselves at risk in the event of an emergency.…”

Section: Driver's Knowledge On Tunnel Safety: State-of-the-art Studiessupporting

confidence: 79%

A virtual reality instrument to raise drivers’ awareness on safer driving through road tunnels

Kirytopoulos

Mourelatos

Chatzistelios

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part O:

View full text Add to dashboard Cite

Studies reveal that drivers’ behavior is the most significant factor in road accidents worldwide. Regarding tunnels, which are the most critical element of road infrastructure, despite the significant efforts that have been conducted toward the enhancement of drivers’ education all these years, studies illustrate that there are still serious deficiencies need to be tackled. To address this issue, this research endeavor develops a virtual reality tool based on the serious game idea in order to inform and educate potential users about the specific rules and behavioral patterns that should govern their safe driving when passing through tunnels. To do so, the appropriate behavioral patterns are determined using applicable norms and guidelines while the specific educational requirements are identified. Following that, the novel tool for training users is developed. The tool consists of a virtual reality gaming environment based on the notion of serious games that simulates driving through a tunnel from a first-person perspective. Various scenarios are developed within this environment based on the knowledge gaps identified in the literature, with the aim of assessing users’ knowledge as well as educating them when required. The developed tool was tried by more than 50 drivers, professional and non-professional during tool’s launch activities. In particular, drivers who had recently obtained a driver’s license confirmed that such a tool would be especially useful in the context of their training. The ultimate goal of this study is to provide an efficient tool in order to support both practitioners and authorities to significantly improve the safety level of road tunnels by emphasizing on the driving behavior, since this is considered the most crucial component of each tunnel system.

show abstract

Section: Driver's Knowledge On Tunnel Safety: State-of-the-art Studiessupporting

confidence: 79%

A virtual reality instrument to raise drivers’ awareness on safer driving through road tunnels

Kirytopoulos

Mourelatos

Chatzistelios

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part O:

View full text Add to dashboard Cite

show abstract

“…Once a tunnel traffic safety accident occurs, it has serious impacts, including traffic congestion, vehicle damage, tunnel damage, and casualties [21]. Meanwhile, the limitations of the tunnel environment aggravate the consequences of accidents [22]. According to Table 1, once a traffic accident occurs in a freeway tunnel, it will seriously affect the traffic situation, leading to traffic jams.…”

Section: Passenger-related Factorsmentioning

confidence: 99%

“…e rolling quantitative fusion method is adapted to calculate the reliability degree, as in the method, the closer it is to the mean, the greater the data weight and there is no relationship with the data itself. Weak awareness X 10 Affect driving X 11 No seat belts X 12 Carrying flammable and explosive articles X 13 On-the-road crash X 14 Brake failure X 15 Distraction X 16 Inadequate daily maintenance X 17 Poor compliance X 18 Poor regulation X 19 Complex lines X 20 Low road adhesion coefficient X 21 Design defect X 22 Ventilation and lighting defects X 23 Unclear traffic signs X 24 Inclement weather X 25 Slow emergency response Suppose that for the same behavior or operations, different experts' judgement according to the SOR model of an unreliability series is U (1) , U (2) , . .…”

Section: Risk Evaluation Model Of Human Unsafe Behaviormentioning

confidence: 99%

Unsafe Behavior Analysis and Risk Measurement of Traffic Accidents in Mountainous Highway Tunnel

Zhou

Huang

Zhou

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Traffic accidents in mountainous highway tunnels have resulted in significant negative effects and losses. Among the potential hazards that can lead to fatal injuries, human-related hazards have been recognized as the leading cause. Determining the risk management effectively and prioritizing unsafe human behavior are the basis for preventing and controlling traffic accidents in mountainous highway tunnels. Therefore, hazards that could potentially cause highway tunnel traffic accidents were identified by using a tail-biting fish diagram combined with the fault tree method. A risk assessment model was constructed based on probability, degree of importance, and loss. Furthermore, the probability can be calculated by assessing the degree of unreliability, which can be obtained by assessing the degree of importance of unsafe behavior in the fault tree, and the loss can be acquired from the authority. The case of 8–10 traffic accidents that occurred in the Qinling No. 1 Tunnel of the Ankang section of the Beijing-Kunming expressway was studied, and the values of the unsafe behaviors were assessed. According to the risk values, the priority for controlling unsafe behaviors can be acquired and tailored measures can be taken to prevent and control the risks, which provides a theoretical basis and new method for the effective control of mountainous highway tunnel traffic accidents.

show abstract

“…To be specific, sharp lighting difference between the exterior and interior of the tunnel portal reduces the sight distance of the driver in the approaching vehicle, and then the driver experiences visual oscillation incurred by an abrupt lighting transition through the entrance and exit zones of the tunnel [ 6 , 7 ], as represented in Figure 1 . In addition, once the crash occurs, a secondary crash (SC) is highly likely to happen since drivers may not have immediate responses to the hazardous traffic turbulence [ 8 ]. Therefore, the frequent transitions between daylight and tunnel lighting in serial tunnels require drivers to visually adapt and react quickly, which increases the SC risk and challenges the safety condition of serial tunnels.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Mitigating Secondary Crash Risk for Serial Tunnels on Freeway via Lighting-Related Microscopic Traffic Model with Inter-Lane Dependency

Chen

Song

et al. 2023

IJERPH

View full text Add to dashboard Cite

This paper models and mitigates the secondary crash (SC) risk for serial tunnels on the freeway which is incurred by traffic turbulence after primary crash (PC) occurrence and location-heterogeneous lighting conditions along serial tunnels. A traffic conflict approach is developed where SC risk is quantified using a surrogate safety measure based on the simulated vehicle trajectories after PC occurs from a lighting-related microscopic traffic model with inter-lane dependency. Numerical examples are presented to validate the model, illustrate SC risk pattern over time, and evaluate the countermeasures for SC, including adaptive tunnel lighting control (ATLC) and advanced speed and lane-changing guidance (ASLG) for connected vehicles (CVs). The results demonstrate that the tail of the stretching queue on the PC occurrence lane, the adjacent lane of the PC-incurred queue, and areas near tunnel portals are high-risk locations. In serial tunnels, creating a good lighting condition for drivers is more effective than advanced warnings in CVs to mitigate SC risk. Combined ATLC and ASLG is promising since ASLG informs CVs of an immediate response to traffic turbulence on the lane where PC occurs and ATLC alleviates SC risks on adjacent lanes via smoothing the lighting condition variations and reducing inter-lane dependency.

show abstract

Understanding drivers’ awareness, habits and intentions inside road tunnels for effective safety policies

Cited by 23 publications

References 41 publications

A virtual reality instrument to raise drivers’ awareness on safer driving through road tunnels

A virtual reality instrument to raise drivers’ awareness on safer driving through road tunnels

Unsafe Behavior Analysis and Risk Measurement of Traffic Accidents in Mountainous Highway Tunnel

Modelling and Mitigating Secondary Crash Risk for Serial Tunnels on Freeway via Lighting-Related Microscopic Traffic Model with Inter-Lane Dependency

Contact Info

Product

Resources

About