车速预测模型的发展现状及趋势  

The Development Status and Trend of Vehicle Speed Prediction Model

作　　者：朱凯家 王浩然 ZHU Kaijia;WANG Haoran(College of Automotive and Rail Transportation,Luoyang Vocational and Technical College,Luoyang 471000,China)

机构地区：[1]洛阳职业技术学院汽车与轨道交通学院,河南洛阳471000

出　　处：《汽车实用技术》2025年第5期153-157,162,共6页Automobile Applied Technology

摘　　要：车速预测可以实现对潜在危险的有效预警,优化交通效率的同时降低油耗,提高驾驶员及乘车人的驾驶体验和安全性。文章以车速预测模型为研究对象,通过文献调研和资料分析相结合的方式,深入对比分析了传统与最新车速预测模型的优劣差异,为后续车速预测模型研究提供参考。结果表明,多信息耦合车速预测模型已成为未来研发趋势,在为自动驾驶和智能交通系统提供更加精准、可靠和实时的速度信息中,发挥愈发重要的作用。Speed prediction can achieve the effective early warning of the potential hazards,optimizing traffic efficiency while reducing fuel consumption,and enhancing both drivers and passengers experience and safety.This paper takes the vehicle speed prediction model as the research object,and through the combination of literature investigation and data analysis,deeply compares and analyzes the advantages and disadvantages of the traditional and the latest vehicle speed prediction model,so as to provide reference for the subsequent research on vehicle speed prediction model.The results show that the multi-information coupled vehicle speed prediction model has become the trend of future research and development,and plays an increasingly important role in providing more accurate,reliable and real-time speed information for autonomous driving and intelligent transportation systems.

关 键 词：车速预测模型 交通效率 驾驶体验 智能交通系统 

分 类 号：U491[交通运输工程—交通运输规划与管理]