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Estimating effectiveness of speed reduction measures for pedestrian crossing treatments using an empirically supported speed choice modeling framework
Institution:1. Insurance Institute for Highway Safety, United States;2. Massachusetts Institute of Technology AgeLab, New England University Transportation Center, United States;1. Würzburger Institut für Verkehrswissenschaften WIVW GmbH, Robert-Bosch-Str. 4, 97209 Veitshoechheim, Germany;2. Technical University of Munich, Department of Mechanical Engineering, Boltzmannstrasse 15, 85748 Garching, Germany;3. BMW Motorrad, Anton-Ditt-Bogen 19, 80939 Munich, Germany;1. Department of Educational Sciences, Psychology, Communication, University of Bari, Italy;2. Monash University Accident Research Centre, Monash University, Australia;3. Giustino Fortunato University, Benevento, Italy;1. Department of Civil, Environmental, and Construction Engineering, University of Central Florida Orlando, 4000 Central Florida Blvd, FL, 32816, USA;2. School of Traffic & Transportation Engineering, Central South University, Changsha Hunan 410083, PR China
Abstract:Pedestrian crossing treatments, such as Pedestrian Hybrid Beacons (PHBs) and Rectangular Rapid-Flashing Beacons (RRFBs), are traffic control devices implemented to help pedestrians safely cross busy or higher-speed roadways at midblock crossings and uncontrolled intersections. This study aims to assess the effectiveness of the PHB and RRFB by analyzing drivers’ speeding behavior under different roadway types with real-life traffic conditions. In order to understand the effect of pedestrian crossing treatments (i.e., PHB and RRFB) have on drivers’ speeding behavior, this paper analyzes four zones (i.e., one upstream zone and three consecutive downstream zones). For the four analysis zones, different indexes were computed which corresponds to the differences in drivers’ speed when encountered with the pedestrian crossing treatments. A grouped random effect hurdle beta regression model is estimated for the indexes, with a fixed effect hurdle beta model used for comparison and validating the importance of considering the grouped random heterogeneity across participants. The proposed analysis framework was validated by the means of an empirical driving simulator study, based on two urban roads in the Central Florida region, North Alafaya Trail (SR-434) and South Orange Blossom Trail (US-441). The results revealed that the proposed modeling framework reflects drivers’ difference in speed for the different pedestrian crossing treatments. The results suggest that with proper understanding of the PHB, the PHB can reduce drivers speed even beyond the location of the PHB. Meanwhile, the RRFB does have some effect in speed reduction beyond the location of the RRFB, however many drivers failed to acknowledge the RRFB. It is suggested that when drivers’ have proper education on the use of the PHB to reduce speed safely and for the installation of RRFB be on roads with two or less lanes and a speed limit less than 40 mph. While the main purpose of the pedestrian crossing treatments is to help pedestrians cross safely, speed reduction can be considered a byproduct as revealed in this study.
Keywords:Speed Reduction  Speed Adjustment  Pedestrian crossing treatments  Pedestrian Hybrid Beacon  Rectangular Rapid-Flashing Beacons  Urban roads  Driving simulator  Hurdle beta regression model
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