TY - JOUR
T1 - Analysis and Modeling of Pedestrian Crossing Behavior During the Pedestrian Flashing Green Interval
AU - Iryo-Asano, M
AU - Yaseen, Wael Khaleel Mohammad Alhaj
AU - Nakamura, H
PY - 2015
Y1 - 2015
N2 - Pedestrian-vehicle conflicts are considered one of the most common safety problems at signalized intersections. In Japan, the pedestrian flashing green (PFG) is considered a safe time interval for pedestrians at crosswalks to finish crossing before conflicting vehicle streams are released. In most common phasing schemes, pedestrians have the right-of-way along with left-turning vehicles (in left-hand traffic). By law, pedestrians should not enter a crosswalk during the PFG. However, many of them rush into crosswalks without necessarily heeding approaching turning vehicles, which could increase the probability of severe conflicts. The objective of this paper is to analyze and model the probabilistic behavior of pedestrians after the onset of the PFG, which contains the pedestrians' decision of whether to give up crossing, as well as the pedestrian speed distribution. Empirical data analysis showed that longer crosswalks lead to significantly higher pedestrian stop probabilities. Further
AB - Pedestrian-vehicle conflicts are considered one of the most common safety problems at signalized intersections. In Japan, the pedestrian flashing green (PFG) is considered a safe time interval for pedestrians at crosswalks to finish crossing before conflicting vehicle streams are released. In most common phasing schemes, pedestrians have the right-of-way along with left-turning vehicles (in left-hand traffic). By law, pedestrians should not enter a crosswalk during the PFG. However, many of them rush into crosswalks without necessarily heeding approaching turning vehicles, which could increase the probability of severe conflicts. The objective of this paper is to analyze and model the probabilistic behavior of pedestrians after the onset of the PFG, which contains the pedestrians' decision of whether to give up crossing, as well as the pedestrian speed distribution. Empirical data analysis showed that longer crosswalks lead to significantly higher pedestrian stop probabilities. Further
M3 - Article
SN - 1524-9050
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
ER -