Exploring stop-go decision zones at rural high-speed intersections with flashing green signal and insufficient yellow time in China |
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| Affiliation: | 1. Department of Transportation Information and Control Engineering, Tongji University, No. 4800, Cao’an Road, Shanghai 201804, China;2. Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 1538505, Japan;1. Department of Psychology and the Gonda Brain Research Center, Bar Ilan University, Ramat Gan 5290002, Israel;2. Ben-Gurion University of the Negev, Department of Industrial Engineering and Management, Beer-Sheva, Israel;1. Department of Product and Systems Design Engineering, University of the Aegean, 2 Konstantinoupoleos, GR-84100 Ermoupolis, Syros, Greece;2. School of Mechanical Engineering, Sector of Industrial Management and Operations Research, Ergonomics Unit, National Technical University of Athens, 9 Iroon Politechniou, GR-15773 Zografou, Athens, Greece;1. Technical University of Munich, DE;2. Technical University of Munich, DE;3. New Jersey Institute of Technology, US;4. Technical University of Munich, DE;5. Ajou University, KR |
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| Abstract: | The objective of this study is to empirically analyze and model the stop-go decision behavior of drivers at rural high-speed intersections in China, where a flashing green signal of 3 s followed by a yellow signal of 3 s is commonly applied to end a green phase. 1, 186 high-resolution vehicle trajectories were collected at four typical high-speed intersection approaches in Shanghai and used for the identification of actual stop-go decision zones and the modeling of stop-go decision behavior. Results indicate that the presence of flashing green significantly changed the theoretical decision zones based on the conventional Dilemma Zone theory. The actual stop-go decision zones at the study intersections were thus formulated and identified based on the empirical data. Binary Logistic model and Fuzzy Logic model were then developed to further explore the impacts of flashing green on the stop-go behavior of drivers. It was found that the Fuzzy Logic model could produce comparably good estimation results as compared to the traditional Binary Logistic models. The findings of this study could contribute the development of effective dilemma zone protection strategies, the improvement of stop-go decision model embedded in the microscopic traffic simulation software and the proper design of signal change and clearance intervals at high-speed intersections in China. |
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| Keywords: | Flashing green High-speed intersections Stop-go decision behavior Fuzzy Logic Dilemma Zone |
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