Analysis of the Relationship between the Number of Traffic Accidents and the Traffic Flow &amp;amp; Section Location in Extra Long Tunnel

Ma, Zhaoyou; Liu, Shuo; Cai, Bin

doi:10.4236/eng.2020.122007

Cited by 11 publications

(7 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To avoid interference of the drivers by traffic flow as much as possible, the experimental period is selected in the common period (9 am to 11 am and 2 pm to 4 pm). From the traffic accident statistics of the whole tunnel, there are more traffic accidents at the entrance and exit sections [8]. One of the main reasons is that the illumination inside and outside the tunnel is quite different, and the "black hole effect" at the entrance and the "white hole effect" at the exit are more serious.…”

Section: Experiments Time and Drivermentioning

confidence: 99%

See 1 more Smart Citation

Analysis of EEG Characteristics of Drivers at the Entrance and Exit of an Undersea Tunnel and Research on Driving Safety

Pan¹,

Yang²,

Zhang³

et al. 2021

IJSSE

View full text Add to dashboard Cite

To study the influence of illumination and longitudinal slope at the entrance and exit of an undersea tunnel on driver EEG characteristics, a real vehicle experiment was performed with the Jiaozhou Bay Undersea Tunnel. The experimental data of a driver’s real vehicle experiment were collected using an illuminance meter, EEG instrument, video recorder and other experimental equipment. The EEG power spectrum was classified according to frequency, the difference between the EEG power spectrum at the entrance and exit sections and other regions was analyzed, and the influence of the illumination and longitudinal slope of the undersea tunnel on the brain activity of drivers was studied. The region near the entrance and exit of the undersea tunnel was divided equidistantly, the changes in the EEG power of the driver during the process of entering and exiting the undersea tunnel were analyzed, and the changes in brain activity and different brain regions during the process were studied. Based on the EEG power, the model of illumination, longitudinal slope and their coupling effect was established. The traffic safety of the entrance and exit of the undersea tunnel was analyzed, and a high-risk driving region was found. The results show that the power spectrum of the entrance and exit sections of the undersea tunnel is obviously different from those of other sections. At 50 m behind the entrance point and 50 m in front of the exit point of the undersea tunnel, the power of the β wave changes rapidly and is at a high level. The consistency between the variation law of the β wave and the variation law of illumination is high. At the entrance and exit of the undersea tunnel, the active regions of the driver’s brain are concentrated in the frontal lobe and occipital lobe.

show abstract

Section: Experiments Time and Drivermentioning

confidence: 99%

“…This change process and related phenomena will directly affect the driving ability of the driver [7]. Under the interaction of the longitudinal slope and illumination changes, drivers will face greater challenges in behavior and psychology, which will lay hidden dangers for driving safety [8].…”

Section: Introductionmentioning

confidence: 99%

Analysis of EEG Characteristics of Drivers at the Entrance and Exit of an Undersea Tunnel and Research on Driving Safety

Pan¹,

Yang²,

Zhang³

et al. 2021

IJSSE

View full text Add to dashboard Cite

show abstract

“…In this research, a complete undersea tunnel is divided into the approach section, entrance section, middle section, exit section, and departure section [29], [30]. The exit and entrance sections are divided into lane change, transition and adaptation sections [31]. A schematic of the undersea tunnel division is shown in Figure 1.…”

Section: Division Of Entrance and Exit Sections Of The Undersea Tunnelmentioning

confidence: 99%

Modeling and Verification of the Length of the Entrance and Exit Sections of an Undersea Tunnel

et al. 2021

View full text Add to dashboard Cite

At present, there is no standard or research to define the specific length of the entrance and exit sections of an undersea tunnel. In combination with the unique longitudinal slope of the undersea tunnel and the change in the illumination difference, the lengths of the lane change, transition and adaptation sections of the entrance and exit sections of the undersea tunnel were theoretically deduced, and a model for the entrance and exit sections lengths was established. Considering the Qingdao Jiaozhou Bay undersea tunnel as an experimental subject, the accuracy of the model of the entrance and exit section lengths was verified using two methods. The results indicated that the lengths of the entrance and exit sections of undersea tunnels change with changes in the factors such as the illumination, vehicle speed, and slope. In the case of the Qingdao Jiaozhou Bay undersea tunnel, when the vehicle passes the undersea tunnel at a speed of 70 km/h on a sunny day, according to the studied model, the entrance and exit sections of the undersea tunnel are 146.7 m and 157.1 m long, respectively. The entrance and exit section lengths of the undersea tunnel, determined using test method 1 and test method 2 are 151.0m, 153.6m and 161.0m, 148.9m, respectively. The absolute errors between the results of the model and test method 1 and 2 are less than 10%. These findings indicate that the model for the entrance and exit section lengths of undersea tunnels is reasonably accurate.

show abstract

“…The study also indicated a higher risk of collisions at tunnel entrances. To study the influence of traffic characteristics on traffic accidents in extra-long tunnels, Ma [26] matched the primary traffic volume measurement indicators at the time of traffic accidents with accident information to form the number of traffic accidents and traffic accident datasets. Concurrently, he discovered that the form of traffic accidents in super-long tunnels was dominated by rear-end collisions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Causes of Traffic Accidents and Identification of Accident-Prone Points in Long Downhill Tunnel of Mountain Expressways Based on Data Mining

Wang

Zhang

et al. 2022

Sustainability

View full text Add to dashboard Cite

China has a large vehicle base, uneven road conditions, and the highest rate of traffic accidents in the world. Particularly on the long downhill sections of expressway tunnels in mountainous areas with harsh geographical conditions, traffic accidents are densely distributed, and once a traffic accident occurs, the consequences are serious, which poses a large threat to people’s lives and property. This paper mined and analyzed the traffic accident data collected by the project on the Baoding section of Zhangshi Expressway. SPSS software was used to analyze the traffic accident data characteristics of the long downhill tunnel of the mountain expressways. The time, space, accident form, vehicle type, and road alignment distribution characteristics of the traffic accident in the long downhill tunnel section of mountain expressways were obtained. The decision tree algorithm was used to construct the cause analysis model of traffic accidents in the long downhill tunnel of mountain expressways, and the five primary influencing factors were obtained: horizontal curve radius, week, slope length, time, and cart ratio. The improved cumulative frequency curve method was used to study the accident-prone points of mountain expressways, and the accident-prone points and potential accident-prone points were obtained.

show abstract

Analysis of the Relationship between the Number of Traffic Accidents and the Traffic Flow & Section Location in Extra Long Tunnel

Cited by 11 publications

References 2 publications

Analysis of EEG Characteristics of Drivers at the Entrance and Exit of an Undersea Tunnel and Research on Driving Safety

Analysis of EEG Characteristics of Drivers at the Entrance and Exit of an Undersea Tunnel and Research on Driving Safety

Modeling and Verification of the Length of the Entrance and Exit Sections of an Undersea Tunnel

Analysis of the Causes of Traffic Accidents and Identification of Accident-Prone Points in Long Downhill Tunnel of Mountain Expressways Based on Data Mining

Contact Info

Product

Resources

About