Research on short-time Prediction of driving behaviour at unsignalized intersections based on machine learning

Author:

Zhang Yunfan,Yan Xuedong

Abstract

Abstract The unsignalized intersections are the important nodes in the road network, and also the sections with a high incidence of serious collision accidents. Based on the driving simulation experiment, the interactive driving behaviours of multiple drivers were collected. The data were input to the machine learning model, training for predicting the short-time driver’s decision-making. The results showed that the Random Forest model has a better prediction effect than the Support Vector Machine (SVM) model, and the shorter prediction interval also has a better prediction effect. This study was helpful to give timely warning to drivers in danger and provided a new idea for the research of collision prevention warning strategies and control methods.

Publisher

IOP Publishing

Subject

General Engineering

Reference13 articles.

1. Study on the Collision Avoidance Strategy at Unsignalized Intersection based on PreScan Simulation;Wu;Procedia - Social and Behavioral Sciences,2013

2. Analyzing drivers’ crossing decisions at unsignalized intersections in China;Liu;Transportation Research Part F: Traffic Psychology and Behaviour,2014

3. Driving skill classification in curve driving scenes using machine learning;Chandrasiri;J. Mod. Transp.,2016

4. Analysis and prediction of deceleration behavior during car following using stochastic driver-behavior model;Angkititrakul,2012

5. A rule-based neural network approach to model driver naturalistic behavior in traffic;Chong;Transp. Res. Part C Emerg. Technol.,2013

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3