Cyclist’s Intention Identification on Pedestrian-Bicycle Mixed Sections Based on Phase-Field Coupling Theory

Haibo Wang; Haiqing Si; Xiaoyuan Wang

doi:10.7307/ptt.v31i3.2927

Haibo Wang College Civil Aviation and Flight, Nanjing University of Aeronautics and Astronautics
Haiqing Si College Civil Aviation and Flight, Nanjing University of Aeronautics and Astronautics
Xiaoyuan Wang College of Electromechanical Engineering, Qingdao University of Science and Technology

DOI: https://doi.org/10.7307/ptt.v31i3.2927

Keywords: phase-field coupling theory, pedestrian-bicycle mixed traffic section, intention identification, safety warning, traffic phase

Abstract

Bicycle is one of the main factors that affects the traffic safety and capacity on pedestrian-bicycle mixed traffic sections. It is important for implementing the warning of bicycle safety and improving the active safety to identify the cyclists’ intention in the mixed traffic environments under the condition of the “Internet of Things”. The phase-field coupling theory has been developed in this paper to comprehensively analyse the generation, spring up, increase, transfer, regression and reduction method of the traffic phase. The adaptive genetic algorithm based on the information entropy has been used to extract feature vectors of different types of cyclists for intention identification from the reduced pedestrian-bicycle traffic phase, and the theory of evidence has been provided here to build the identification model. The experimental verification shows that the extraction method of cyclists’ intention feature vector and identification model are scientific and reasonable. The theoretical basis can be applied to establishing the pedestrian-bicycle interactive security system.

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Haibo Wang, College Civil Aviation and Flight, Nanjing University of Aeronautics and Astronautics

Wang haibo is a doctoral candidate at the Nanjing University of Aeronautics and Astronautics, and major in transportation engineering. His research direction is the intelligent and control of Human-vehicle environment synergy.

Haiqing Si, College Civil Aviation and Flight, Nanjing University of Aeronautics and Astronautics

Si haiqing works as a professor with the College Civil Aviation and Flight, Nanjing University of Aeronautics and Astronautics. He is specialized in Aviation safety engineering, especially in cooperative intelligence of human-aircraft-environment. He has authored or coauthored more than 30 publications in international journals.

Xiaoyuan Wang, College of Electromechanical Engineering, Qingdao University of Science and Technology

Wang xiaoyuan works as a professor with the College of Electromechanical Engineering, Qingdao University of Science and Technology. He also served as a visiting research fellow in State Key Laboratory of Automotive Safety and Energy, Tsinghua University. He is specialized in intelligent transportation systems, especially in cooperative intelligence of human-vehicle-environment. He has authored or coauthored more than 100 publications in international journals.

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