Time-dependent drivers’ merging behavior model in work zone merging areas |
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| Institution: | 1. Department of Industrial and Systems Engineering, Mississippi State University, P.O. Box 9542, Mississippi State, MS 39762, USA;2. Center for Advanced Vehicular Systems, Mississippi State University, P.O. Box 5405, Mississippi State, MS 39762, USA;3. Department of Psychology, Mississippi State University, P.O. Box 6161, Mississippi State, MS 39762, USA;4. Department of Psychology, California State University San Marcos, USA;1. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, PR China;2. Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong;1. Department of Traffic Engineering & Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, 201804, PR China;2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing, 210096, PR China;3. Information Processing and Intelligent Transportation System Laboratory & Department of Information and Communication Engineering, Tongji University, Shanghai, 200092, PR China;1. Department of Electrical Engineering and Computer Engineering, University of Nevada, Las Vegas 4505 S. Maryland Pkwy, Las Vegas, NV 89154, United States;2. Department of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA 50010, United States |
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| Abstract: | This study investigates the drivers’ merging behavior in work zone merging areas during the entire merging implementation period from the time of starting a merging maneuver to that of completing the maneuver. With the actual work zone merging traffic data, we propose a time-dependent logistic regression model considering the possible time-varying effects of influencing factors, and a standard logistic regression model for the purpose of model comparison. Model comparison results show that the time-dependent model performs better than the standard model because the former can provide higher prediction accuracy. The time-dependent model results show that seven factors exhibit time-varying effects on the drivers’ merging behavior, including merging vehicle speed, through lane lead vehicle speed and through lane lag vehicle speed, longitudinal gap between the merging and lead vehicles, longitudinal gap between the merging and through lane lead vehicles, types of through lane lead and through lane lag vehicles. Interestingly, both the through lane lead vehicle speed and the through lane lag vehicle speed are found to exhibit heterogeneous effects at different times of the merging implementation period. One important finding from this study is that the merging vehicle has a decreasing willingness to take the choice of “complete a merging maneuver” as the elapsed time increases if the through lane lead vehicle is a heavy vehicle. |
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| Keywords: | Merging behavior Logistic regression Time-dependent Time-varying effects Work zone |
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