Unsignalized Intersections

Author(s):  
Jeremy E. Baker
Author(s):  
Yingfeng (Eric) Li ◽  
Haiyan Hao ◽  
Ronald B. Gibbons ◽  
Alejandra Medina

Even though drivers disregarding a stop sign is widely considered a major contributing factor for crashes at unsignalized intersections, an equally important problem that leads to severe crashes at such locations is misjudgment of gaps. This paper presents the results of an effort to fully understand gap acceptance behavior at unsignalized intersections using SHPR2 Naturalistic Driving Study data. The paper focuses on the findings of two research activities: the identification of critical gaps for common traffic/roadway scenarios at unsignalized intersections, and the investigation of significant factors affecting driver gap acceptance behaviors at such intersections. The study used multiple statistical and machine learning methods, allowing a comprehensive understanding of gap acceptance behavior while demonstrating the advantages of each method. Overall, the study showed an average critical gap of 5.25 s for right-turn and 6.19 s for left-turn movements. Although a variety of factors affected gap acceptance behaviors, gap size, wait time, major-road traffic volume, and how frequently the driver drives annually were examples of the most significant.


Author(s):  
Francesco Viti ◽  
Bart Wolput ◽  
Chris M. J. Tampère ◽  
Pieter Vandervelden

2019 ◽  
Vol 46 (5) ◽  
pp. 381-388
Author(s):  
Hualong Zhang ◽  
Cunbao Zhang ◽  
Feng Chen ◽  
YuanYuan Wei

Using mobile phones can be a source of distraction for pedestrians when crossing streets, it is especially dangerous at unsignalized intersections. To investigate the effects of mobile phone use on pedestrian crossing behavior and safety at unsignalized intersections, we carried out a field survey at three selected locations in Wuhan, China. Then, the pedestrians’ crossing behavior characteristics were statistically analyzed, and a logistic regression model was established to quantitatively analyze pedestrian safety. The results showed that 15.6% of pedestrians used mobile phones when crossing unsignalized intersections and 64.1% of them were young pedestrians. Pedestrians using mobile phones while crossing unsignalized intersections were at higher risk of accident, crossed more slowly, and were less likely to look at traffic status than those not using a mobile phone. Moreover, the probability of conflicts when watching the screen, talking, and listening to music are 2.704, 1.793, and 1.114 times greater, respectively, than those who do not use a mobile phone.


2011 ◽  
Vol 16 ◽  
pp. 676-685 ◽  
Author(s):  
Joewono Prasetijo ◽  
Mehdi Hossein Pour ◽  
Seyed Mohammad Reza Ghadiri

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