Redirigiendo al acceso original de articulo en 17 segundos...
ARTÍCULO
TITULO

Empirical Analysis on Risky Behaviors and Pedestrian-Vehicle Conflicts at Large-Size Signalized Intersections

Koji Suzuki    
Hiroki Ito    

Resumen

In this study, we conducted observation surveys and analyzed the risky behavior of both pedestrians and vehicles making left turns at five major intersections in Japan (left hand traffic system). We aggregated the number of risky behavior of pedestrians and clarified the factors by developing a linear regression model. It is found that if the setback distance of the inflow leg is inappropriately-long, pedestrians tend to exhibit a risky behavior after pedestrian green flashing. We also quantified the risky movements of vehicles making left turns and explained the factors using linear discriminant analysis. For left-turning vehicle, if setback distance of outflow leg is long or the curvature radius of the corner curb is gentle, the vehicle tends to not drive slowly when entering an intersection. In addition, we adopted the estimated post encroachment time (EPET) as a surrogate index to evaluate the risk of conflict between pedestrians and vehicles making left turns. At final third part of corner curb, it was clarified that the wider crosswalk relates to safe situation, however, the larger curvature radius of the corner curb relates to severe conflict. Furthermore, we discussed safety countermeasures for pedestrians by using the results of the sensitivity analysis.

 Artículos similares

       
 
Ali Reza Ghanizadeh, Mandana Salehi, Anna Mamou, Evangelos I. Koutras, Farhang Jalali and Panagiotis G. Asteris    
This paper investigates the effect of subgrade soil stabilization on the performance and life extension of flexible pavements. Several variables affecting soil stabilization were considered, including subgrade soil type (CL or CH), additive type and cont... ver más
Revista: Infrastructures

 
Nenad Marku? and Mirko Su?njevic    
Recently, there has been renewed interest in signed distance bound representations due to their unique properties for 3D shape modelling. This is especially the case for deep learning-based bounds. However, it is beneficial to work with polygons in most ... ver más
Revista: Algorithms

 
Gleice Kelly Barbosa Souza, Samara Oliveira Silva Santos, André Luiz Carvalho Ottoni, Marcos Santos Oliveira, Daniela Carine Ramires Oliveira and Erivelton Geraldo Nepomuceno    
Reinforcement learning is an important technique in various fields, particularly in automated machine learning for reinforcement learning (AutoRL). The integration of transfer learning (TL) with AutoRL in combinatorial optimization is an area that requir... ver más
Revista: Algorithms

 
Tushar Ganguli and Edwin K. P. Chong    
We present a novel technique for pruning called activation-based pruning to effectively prune fully connected feedforward neural networks for multi-object classification. Our technique is based on the number of times each neuron is activated during model... ver más
Revista: Algorithms

 
Weiying Wang and Toshihiro Osaragi    
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth... ver más