Analyzing crash frequency in freeway tunnels: A correlated random parameters approach

Hou, Qinzhong; Tarko, Andrew P.; Meng, Xianglong

doi:10.1016/j.aap.2017.11.018

Cited by 74 publications

(45 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, traffic conditions such as traffic volume and density, the composition of traffic flow, and traffic direction have been found to significantly affect crash rates at tunnel entrances [13,14]. To sort out the sequential relations among these design elements, assessment models such as random effects negative binomial, uncorrelated random parameters negative binomial, and correlated random parameters negative binomial models have been established [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Variations in Naturalistic Driving Behavior and Visual Perception at the Entrances of Short, Medium, and Long Tunnels

Shi-jian

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

Driver behavior and visual perception are very important factors in the management of traffic accident risk at tunnel entrances. This study was undertaken to analyze the differences in driving behavior and visual perception at the entrances of three types of tunnels, namely, short, medium-length, and long tunnels, under naturalistic driving conditions. Using three driving behavior indicators (speed, deceleration, and position) and two visual perception indicators (fixation and saccade), the driving performance of twenty drivers at six tunnels (two tunnels per condition) was comparatively analyzed. The results revealed that the speed maintained by the drivers prior to deceleration with braking under the short-tunnel condition was significantly larger than that under the medium- and long-tunnel conditions and that the drivers had a greater average and maximum deceleration rates under the short-tunnel condition. A similar general variation of driver visual perception appeared under the respective tunnel conditions, with the number of fixations gradually increasing and the maximum saccade amplitude gradually decreasing as the drivers approached the tunnel portal. However, the variation occurred approximately 60 m earlier under the short-tunnel condition than under the medium- and long-tunnel conditions. Interactive correlations between driving behavior and visual perception under the three conditions were established. The commencement of active deceleration was significantly associated (with correlation factors of 0.80, 0.77, and 0.79 under short-, medium-, and long-tunnel conditions, respectively) with the point at which the driver saccade amplitude fell below 10 degrees for more than 3 s. The results of this study add to the sum of knowledge of differential driver performance at the entrances of tunnels of different lengths.

show abstract

Section: Introductionmentioning

confidence: 99%

Variations in Naturalistic Driving Behavior and Visual Perception at the Entrances of Short, Medium, and Long Tunnels

Shi-jian

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…Xie et al [5] explored the different proportions of trucks on truck crash counts, and the results predicted that total truck crashes would decrease by 0.98% with a slight change in the percentage of trucks. Hou et al [6] examined the factors contributing to traffic crashes in freeway tunnels and found that more crashes occurred on sharply curved segments with a high percentage of trucks. Considering the above reviews, using crash data has proven that truck proportion has a negative effect on other factors in traffic crashes.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Truck Proportion on Traffic Safety Using Surrogate Safety Measures in China

Chen

Zhang

Xing

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

The purpose of this study is to investigate the impact of the truck proportion on surrogate safety measures to explore the relationship between truck proportion and traffic safety. The relationship between truck proportion and traffic flow parameters was analyzed by correlation and partial correlation analysis, and the value of the 85th percentile speed minus the 15th percentile speed (85%V–15%V) and the speed variation coefficient were selected as surrogate safety measures to explore the impact of truck proportion on traffic status. The k-means algorithm and the support vector machine were employed to evaluate traffic status on a freeway under different truck proportions in different periods. The major results are that the relationship between truck proportion and the value of 85%V–15%V and the speed variation coefficient is consistent in different aggregation periods. With increasing truck proportion, the value of 85%V–15%V, as well as the speed variation coefficient, increases initially and then decreases. In addition, the traffic flow status tends to be dangerous when the truck proportion ranges from 0.4 to 0.6 and when the value of 85%V–15%V and the speed variation coefficient are above 42 km/h and 0.223, respectively. While the truck proportion is from 0.1 to 0.3 and from 0.7 to 0.9, the traffic flow is relatively safe on the condition that the value of 85%V–15%V and the speed variation coefficient were under 42 km/h and 0.223, respectively. Therefore, the relationship between truck proportion and traffic safety could be well revealed by two surrogate safety measures, that is, the value of 85%V–15%V and the speed variation coefficient. In addition, the k-means algorithm and the support vector machine can well reveal the impact of truck proportion on traffic safety in different periods. The findings of this study indicate a need for decreasing the disturbance of mixed traffic and the impact of the truck proportion on traffic safety status.

show abstract

“…4 Studies revealed that young people aged 15–30 years were affected most by driving accidents, and less experienced drivers were involved in more serious accidents, which lead to death. 5 , 6 , 7 …”

Section: Introductionmentioning

confidence: 99%

The relationship between illnesses and medical drug consumption with the occurrence of traffic accidents among truck and bus drivers in Tehran, Iran

Khoshakhlagh

Yazdanirad

Laal

et al. 2019

Chinese Journal of Traumatology

View full text Add to dashboard Cite

Purpose To determine the relationship of illnesses and medical drug consumption with the occurrence of traffic accidents among truck and bus drivers. Methods This is a cross-sectional study on truck and bus drivers in Tehran, Iran. The criteria for participating in this study were: married males over 30 years old, driving license in grade one, five years of job experience, mental health and non-addiction license. The criterion for not participating in this study was the lack of cooperation in responding to the questions. Six months was spent to collect the latest five years data of driving accidents from 2011 to 2016. A total of 323 truck and bus drivers in Tehran city and the suburbs, Iran were chosen. Among them, 112 were responsible for accidents (accident group) while 211 were not responsible for any accidents or involved in an accident in the last five years (non-accident group). A specially designed questionnaire was used to investigate the demographic information, medical drug consumption, medical backgrounds and history of accidents. Results The results revealed that compared with healthy subjects, the occurrence of accidents among people with diabetes ( OR = 2.3, p = 0.001) and vision weakness ( OR = 1.7, p = 0.020) was significantly higher, while that among people with cardiac ( OR = 0.5, p = 0.002) and hypertension ( OR = 0.9, p = 0.048) problems was remarkably lower. Moreover, consumption of Gemfibrozil ( OR = 1.8, p = 0.010) and Glibenclamide ( OR = 2.2, p = 0.002) drugs resulted in significantly higher incidence of accidents than those without. Conclusion Frequencies of illnesses like cardiovascular and hypertension were not higher in accident drivers than in non-accident drivers; but diabetes, vision weakness and consumption of Gemfibrozil and Glibenclamide lead to more traffic accidents.

show abstract

Analyzing crash frequency in freeway tunnels: A correlated random parameters approach

Cited by 74 publications

References 21 publications

Variations in Naturalistic Driving Behavior and Visual Perception at the Entrances of Short, Medium, and Long Tunnels

Variations in Naturalistic Driving Behavior and Visual Perception at the Entrances of Short, Medium, and Long Tunnels

The Impact of Truck Proportion on Traffic Safety Using Surrogate Safety Measures in China

The relationship between illnesses and medical drug consumption with the occurrence of traffic accidents among truck and bus drivers in Tehran, Iran

Contact Info

Product

Resources

About