Anzeige
Erschienen in:
2019 | OriginalPaper | Buchkapitel
Modeling and Analysis of Crash Severity for Electric Bicycle
verfasst von : Cheng Xu, Xiaonan Yu
Erschienen in: Intelligent Interactive Multimedia Systems and Services
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Electric bicycle (E-bike) traffic crashes have become an important traffic safety problem in many Chinese cities. Based on the traffic crash data of E-bikes from Xintang region in Hangzhou, China, the time distribution, spatial distribution, and influencing factors for electric bicycles-related traffic crashes were analyzed, and the main factors that affect the traffic crash of electric bicycles were obtained. On this basis, a logistic model of the influencing factors on the severity of traffic crashes for electric bicycles was set up. The key factors affecting the severity of traffic crashes on electric bicycles were obtained, which provided the basis for the prevention and safety management of traffic crashes on electric bicycles.