智能驾驶车辆与传统交通系统的协同研究  

Collaborative Research of Intelligent Driving Vehicle and Traditional Traffic System

作　　者：宋锌楠 胡小敏[1] Song Xin-nan;Hu Xiao-min(Xi’an Traffic Engineering Institute,Shaanxi Xi'an 710300)

机构地区：[1]西安交通工程学院,陕西西安710300

出　　处：《内燃机与配件》2025年第4期115-117,共3页Internal Combustion Engine & Parts

基　　金：2024国家级大学生创新创业训练计划项目“智能驾驶车辆与传统交通系统的协同研究”(2024DC01)。

摘　　要：随着智能驾驶技术的高速发展,传统交通系统面临着前所未有的挑战。本文探讨了智能驾驶车辆与传统交通系统之间的协同关系,重点分析了智能驾驶技术对交通效率和安全性的影响。通过案例分析,明确智能驾驶技术对于与传统交通系统的优势,旨在为政策制定者和行业从业者提供指导。研究结果表明,智能驾驶技术能够优化交通流,提高安全性,并为未来交通系统的可持续发展奠定基础。With the rapid development of intelligent driving technology,traditional transportation systems are facing unprecedented challenges.This study explores the collaborative relationship between intelligent driving vehicles and traditional transportation systems,focusing on the impact of intelligent driving technology on traffic efficiency and safety.Through case studies,this paper identifies the advantages of intelligent driving technology over traditional transportation systems and aims to provide guidance for policy makers and industry practitioners.The results of the study show that intelligent driving technology can optimize traffic flow,improve safety,and lay the foundation for sustainable development of future transportation systems.

关 键 词：智能驾驶 交通系统 协同发展 交通效率 安全性 

分 类 号：U461.91[机械工程—车辆工程]