Abstract
The deviations of straight-going traffic at irregular signalized intersections lead to obvious expansion characteristics of e-bikes. This situation increases the possibility of collisions between motor vehicles and e-bikes. In order to study the change of expansion degree of straight-going e-bike at irregular signalized intersections, the video trajectory extraction technology is used to obtain relevant data of e-bikes during green light release periods at irregular signalized intersections. In addition, we combined the flow and spacing characteristics of e-bikes and used a clustering method to analyze the release stage and release groups. Therefore, the Group 1 of e-bikes in the early green light release was determined to be the main research object of expansion degree. According to the static and dynamic factors, a prediction model for the expansion degree of straight-going e-bikes at irregular signalized intersections was established based on the beetle antennae search–back propagation (BAS-BP) neural network model. Finally, the evaluation indexes were compared and analyzed before and after the beetle antennae search (BAS) algorithm optimization. The results showed that the BAS-BP neural network prediction model was better than that of the back propagation (BP) neural network. The results could provide a theoretical reference for improving the efficiency of mixed traffic flow at irregular signalized intersections.
Highlights
IntroductionThere have been an increasing number of e-bikes on the urban roads
In recent years, there have been an increasing number of e-bikes on the urban roads
The main purpose of this study is to study the expansion effect of straight-going e-bikes at irregular signalized intersections
Summary
There have been an increasing number of e-bikes on the urban roads. As of 2019, the global market value of e-bikes reached 57.5 billion yuan (7.475 billion euros) and is expected to grow to 73.9 billion yuan (9.607 billion euros) in 2026. China has more than 300 million e-bikes, ranking first in the world [1]. Due to the popularity of e-bikes, traffic problems in cities are complex and the operation efficiency and safety of intersections are facing challenges. In Poland, an adaptive signal control method was adopted to adjust the length of vehicle queue [2]. In China, the number of public transportation vehicles per
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
