Evaluation of the effect of decorated sidewall in tunnels based on driving behavior characteristics

Zhao, Xiaohua; Liu, Qiqi; Li, Haijian; Qi, Jianyu; Dong, Wenhui; Ju, Yunjie

doi:10.1016/j.tust.2022.104591

Cited by 21 publications

(9 citation statements)

References 28 publications

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“…If the sample size is too small, the reliability of the results will be reduced, and if the sample size is too large, time and resources will be wasted. Therefore, the minimum sample size N required for the experiment were calculated based on the expected variance, target confidence and error margin, as shown in formula ( 1 ) 21 : where N is the sample size, σ is the standard deviation, Z is the standard normal distribution statistic, and E is the maximum error.…”

Section: Methodsmentioning

confidence: 99%

Research on the effectiveness of a intersection risk warning system based on driving simulation experiment

Zhou

Guo

Yang³

et al. 2022

Sci Rep

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In order to improve the traffic safety condition of intersections, a real-time traffic conflict risk warning system (RTCRWS) is proposed for uncontrolled intersections. To evaluate the effectiveness of this system, a driving simulation experiment was designed and conducted. In this study, a virtual experimental scene including static road, traffic environment and dynamic traffic flow was constructed, and 45 drivers were recruited to complete the driving simulation experiment at 13 intersections. Three different data analysis methods were employed: (1) descriptive analysis of driving behavior characteristics; (2) descriptive analysis of physiological and psychological reactions of drivers; (3) Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) of RTCRWS. The results show that RTCRWS can effectively control the vehicle speed and reduce the driver's tension. In addition, the following conclusions are also drawn: (1) The early warning signs with better warning effect among the two types signs of RTCRWS were compared; (2) Among the elderly and young and middle-aged drivers, RTCRWS has a better warning effect on the elderly drivers. (3) Among the male and female drivers, RTCRWS has a better warning effect on female drivers.

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Section: Methodsmentioning

confidence: 99%

Research on the effectiveness of a intersection risk warning system based on driving simulation experiment

Zhou

Guo

Yang³

et al. 2022

Sci Rep

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“…Eventually, a total of 44 drivers were identifed as valid participants. Tis research utilizes expected variance, target confdence level, and margin of error to validate the adequacy of sample size [21], as shown in the following equation:…”

Section: Experimental Procedurementioning

confidence: 99%

“…Due to the complexity of the road trafc environment, its efectiveness is afected by the confict form, road alignment, and trafc fow, resulting in it being difcult to have a linear relationship with driving risk. To objectively evaluate the effectiveness of the IWS under diferent scenarios, the fuzzy comprehensive evaluation (FCE) method is employed to analyze the performance of drivers in diferent scenarios and partition driving risk [21].…”

Section: Data and Processingmentioning

confidence: 99%

Assessing the Effects of Interchange Warning Systems on Driving Risk: A Driving Simulator Study

Li,

Guo,

et al. 2024

Journal of Advanced Transportation

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To investigate the effects of proactive safety control systems suitable for highway interchanges and improve road traffic safety. Simulated driving experiments were conducted to test the effects of the interchange warning system (IWS) on the ramp, merging section, diverging section, and accident section. Random forest (RF) and SHapley Additive exPlanations (SHAP) are used to analyze the effects between driving behavior and driving risk change in both situations without and with IWS. The results show that (1) as driving risk increases, drivers tend to increase the frequency of braking and engage in more comprehensive saccade behaviors. Concurrently, there is an increase in acceleration and speed variation, leading to a gradual decrease in speed. (2) Compared with the SVR and XGBoost, RF can better fit the nonlinear relationship between driving risk and driver behavior characteristics with the application of IWS. (3) The IWS mainly reduces driving risk by affecting operation behavior. When the mean speed, speed standard deviation (SD), acceleration SD, and maximum braking depth are at 40 to 70 km/h, 3 to 10 km/h, 0 to 0.6 m/s2, and 14 to 16, respectively, there is a significant reduction in driving risk. The application of the IWS expands the effective range of mean speed and speed SD for reducing driving risk to 40 to 100 km/h and 3 to 15 km/h, respectively.

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“…Every participant had a good willingness to participate. Te experiment complied with the ethical principles of the Helsinki Oath [26,27]. SPSS 25.0 is used to perform a one sample t-test efcacy analysis.…”

Section: Participantsmentioning

confidence: 99%

Drivers’ Eye Movement Characteristics in a Combined Bridge-Tunnel Scenario on a Mountainous Urban Expressway: A Realistic Study

Bai

Lin

et al. 2022

Journal of Advanced Transportation

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Combined bridge-tunnel scenarios of driving on mountainous city expressways occur when bridges and tunnels frequently alternate during driving. The complex nature of these driving scenarios imposes crucial requirements on the drivers’ eye movement characteristics. This paper attempts to clarify these characteristics using descriptive statistics and the box graph method, registering the pupil diameter, blink duration, fixation, saccades, and fixation loci at different tunnel locations, bridges, and ramps. Realistic driving experiments were performed on the road segment spanning from the Nanchang tunnel to the Liujiatai tunnel freeway in Chongqing, China. Eye movement data were collected for 21 drivers. The experimental results showed that, while driving in the tunnel, the maximal pupil diameter of the participating drivers was approximately 4.0 mm as the driving mileage and the number of tunnels increased, and the maximal visual load on the drivers in the tunnel tended to be stable. At the second tunnel exit, the ramp, the middle section of the first bridge, and the third tunnel exit, the driving load was the highest, while the fixation duration was shorter for nighttime driving. The fixation duration was the longest for the diversion road of bridge B1 to the ramp during the day, and the fixation times were the longest at the beginning and end of the test road. The drivers more often paid attention to the speed dashboard while entering tunnels during daytime driving (compared with nighttime driving).

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Evaluation of the effect of decorated sidewall in tunnels based on driving behavior characteristics

Cited by 21 publications

References 28 publications

Research on the effectiveness of a intersection risk warning system based on driving simulation experiment

Research on the effectiveness of a intersection risk warning system based on driving simulation experiment

Assessing the Effects of Interchange Warning Systems on Driving Risk: A Driving Simulator Study

Drivers’ Eye Movement Characteristics in a Combined Bridge-Tunnel Scenario on a Mountainous Urban Expressway: A Realistic Study

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