ESTIMATION OF EXPECTED PEDESTRIAN PRESENCE-TIME AT THE CONFLICT-AREA OF SIGNALIZED CROSSWALKS
Yonas Minalu Emagnu, Xin Zhang, Miho Asano, Hideki Nakamura
Abstract
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Yonas Minalu Emagnu, Xin Zhang, Miho Asano, Hideki Nakamura
Abstract
Open-access reader
Crossing pedestrians is one of the critical factors in proper estimation of turning vehicle capacities at signalized intersections. Although individual pedestrian walking speeds and consequent pedestrian platoon maneuver are influenced by traffic signal settings, crosswalk length and bidirectional interactions of pedestrian flows, the existing capacity estimation methods of left-turning vehicles did not consider these impacts. This study aims to propose a method to estimate the expected pedestrian presence-time that pedestrian platoon occupies the conflict-area, considering the characteristics of pedestrian platoon maneuvers. Referring to the existing method to estimate time-dependent pedestrian presence probability distributions, this study re-estimated the parameters of the model using the additional database with higher pedestrian demand conditions. The model revealed that the increase of opposing pedestrian flow significantly reduces spatial variation. This model was applied to calculate expected pedestri
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Crossing pedestrians is one of the critical factors in proper estimation of turning vehicle capacities at signalized intersections. Although individual pedestrian walking speeds and consequent pedestrian platoon maneuver are influenced by traffic signal settings, crosswalk length and bidirectional interactions of pedestrian flows, the existing capacity estimation methods of left-turning vehicles did not consider these impacts. This study aims to propose a method to estimate the expected pedestrian presence-time that pedestrian platoon occupies the conflict-area, considering the characteristics of pedestrian platoon maneuvers. Referring to the existing method to estimate time-dependent pedestrian presence probability distributions, this study re-estimated the parameters of the model using the additional database with higher pedestrian demand conditions. The model revealed that the increase of opposing pedestrian flow significantly reduces spatial variation. This model was applied to calculate expected pedestri
Key concepts: Platoon, Pedestrian, Schema crosswalk, Traffic flow (computer networking), Computer science, Estimation, Transport engineering, Pedestrian crossing