Powered-Two-Wheelers kinematic characteristics and interactions during filtering and overtaking in urban arterials |
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| Affiliation: | 1. School of Traffic &Transportation Engineering, Central South University, Changsha 410075, China;2. Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, 999077, Hong Kong, China;3. Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, United States;1. Civil Engineering Programme, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor 43600, Malaysia;2. Smart and Sustainable Township Research Centre, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor 43600, Malaysia;1. Department of Urban Planning, National Cheng Kung University, 1 University Road, Tainan, 70101, Taiwan;2. Department of Transportation and Logistics Management, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, 30010, Taiwan;1. School of Engineering, Cochin University of Science and Technology, Kochi, 682022 Kerala, India;2. Division of Civil Engineering, School of Engineering, Cusat, Kochi 682022, India;1. Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Powai, Mumbai 400076, India;2. Department of Civil Engineering, The University of Memphis, Memphis, TN 38152, USA;1. Roma TRE University, Department of Engineering, via Vito Volterra n. 62, 00146 Rome, Italy;2. Universidad Politécnica de Madrid, Departamento de Ingeniería del Transporte, Territorio y Urbanismo C/Profesor Aranguren 3, 28040 Madrid, Spain |
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| Abstract: | The present paper focuses on the Powered-Two-Wheelers (PTWs) kinematic characteristics and their interactions with the rest of traffic in urban arterials. The factors that may affect the likelihood of PTW drivers to accept critical spacing during filtering and overtaking are also investigated using trajectory data collected from video recordings. The distributional characteristics of the PTW kinematic parameters showed that the patterns of filtering and overtaking have several differences. Further results using Logit models show that PTW speed difference with the rest of traffic, spacing, the existence of heavy vehicles and the occurrence of platoon of moving PTWs (in which the leader is the reference PTW) are significant factors related to the probability of driving in critical spaces through traffic. The likelihood of accepting critical lateral distance from the vehicle being overtaken may be related to the adjacent lane spacing, the speed difference and the existence of a platoon of PTWs. A comparative study between Logit models and equivalent structures of neural networks showed that, in the specific application, neural networks were found to perform better than the Logit models in terms of the model’s discrimination power. |
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| Keywords: | Powered Two Wheelers Filtering Overtaking Virtual lanes Kinematic parameters PTW interactions Logit Neural networks |
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