Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

May 26, 2021


Pages


DOI

Article

Research on management and control strategy of E-bikes based on attribute reduction method


Authors

Li Yingfeng Affiliation:
Faculty of Management, Xi’an University of Architecture and Technology, Xi’an, China
and Wang Minghu Affiliation:
Faculty of Management, Xi’an University of Architecture and Technology, Xi’an, China


Abstract

The sports characteristics of E-bikes increase the conflict between traffic participants. In this paper, the criteria of E-bike traffic conflict are given according to time distance. Based on the rough set theory, the redundant rule reduction method is developed, and the following conclusions are drawn: 1. Signal lights and video monitoring points have little effect on alleviating the traffic conflict between e-vehicles and motor vehicles; 2. Setting isolation facilities, non-motor vehicle lanes and traffic police can effectively reduce the traffic conflict. The results show that this method can effectively analyse the main influencing factors of traffic conflict.


Keywords

mixed traffic, E-bike, Traffic conflict safety, management and control strategy, attribute reduction


Citation

Yingfeng, L. & Minghu, W. (2021). Research on management and control strategy of e-bikes based on attribute reduction method. Applied Mathematics and Nonlinear Sciences, 6(2). https://doi.org/10.2478/amns.2021.2.00020

Published by: Engineering Journals

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