驾驶行为动态分析：来自德国和比利时的机器学习分析

IF 5.1 3区工程技术 Q1 TRANSPORTATION

European Transport Research Review Pub Date : 2024-07-01 DOI:10.1186/s12544-024-00655-z

Stella Roussou, Eva Michelaraki, Christos Katrakazas, Amir Pooyan Afghari, Christelle Al Haddad, Md Rakibul Alam, Constantinos Antoniou, Eleonora Papadimitriou, Tom Brijs, George Yannis

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引用次数: 0

摘要

i-DREAMS 项目的重点是建立一个名为 "安全容忍区 (STZ)" 的框架，以确保驾驶员在安全范围内操作。本研究比较了长期短期记忆网络和浅层神经网络，以评估参与者在 i-DREAMS 道路试验中的安全水平。使用这些方法对 30 名德国驾驶员和 43 名比利时驾驶员的行程进行了分析，揭示了导致危险行为的因素。结果表明，i-DREAMS 干预措施能显著改善驾驶行为，其中神经网络在所考虑的算法中表现出色。

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Unfolding the dynamics of driving behavior: a machine learning analysis from Germany and Belgium

The i-DREAMS project focuses on establishing a framework known as the ‘Safety Tolerance Zone (STZ)’ to ensure drivers operate within safe boundaries. This study compares Long-Short-Term-Memory Networks and shallow Neural Networks to assess participants’ safety levels during i-DREAMS on-road trials. Thirty German drivers’ trips and Forty-Three Belgian drivers were analyzed using these methods, revealing factors contributing to risky behavior. Results indicate i-DREAMS interventions significantly enhance driving behavior, with Neural Networks displaying superior performance among the algorithms considered.

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来源期刊

European Transport Research Review Engineering-Mechanical Engineering

CiteScore

8.60

自引率

4.70%

发文量

审稿时长

13 weeks

期刊介绍： European Transport Research Review (ETRR) is a peer-reviewed open access journal publishing original high-quality scholarly research and developments in areas related to transportation science, technologies, policy and practice. Established in 2008 by the European Conference of Transport Research Institutes (ECTRI), the Journal provides researchers and practitioners around the world with an authoritative forum for the dissemination and critical discussion of new ideas and methodologies that originate in, or are of special interest to, the European transport research community. The journal is unique in its field, as it covers all modes of transport and addresses both the engineering and the social science perspective, offering a truly multidisciplinary platform for researchers, practitioners, engineers and policymakers. ETRR is aimed at a readership including researchers, practitioners in the design and operation of transportation systems, and policymakers at the international, national, regional and local levels.