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高职院校智慧交通专业实训体系建设探究 被引量:1

Research on The Practical Training System Construction of The Intelligent Traffic Professional in Colleges
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摘要 智能网联汽车、无人驾驶技术等领域的逐步落地并产业化,行业的技能型人才需求凸显,高等职业教育人才培养亟待加强,实训体系建设迫在眉睫。然而,由于智慧交通专业融合广泛、技术门槛较高、产教脱节、高职人才定位模糊等问题,导致实训体系建设无章可循,严重影响专业建设。本文对产业现状进行介绍,从岗位入手,梳理高职人才培养的技术、技能需求;基于教学体系,建立硬件、整车在环测试的分层次实训体系;基于科研体系,建立实、虚结合的测试场地与沙盘系统;基于产业出口,提出基于物联网与图像识别技术的驾驶人安全监控体系。从教学、科研、服务等三方面,提出专业的实训体系建设方案,为高职智慧交通相关专业建设提供参考。 With the gradual implementation and industrialization of intelligent networked automobile and unmanned driving technology,the demand for skilled talents in the industry has gradually emerged.The cultivation of talents in higher vocational education needs to be strengthened urgently,and the construction of practical training system is extremely urgent.However,due to the wide integration of intelligent transportation major,high technical threshold and vague orientation of personnel training in higher vocational colleges,there are no rules to follow in the construction of practical training system,which seriously affects the construction of major.It is introduced the current situation of the industry from the position to sort out the technical and skill needs of higher vocational talents training.Based on the technical system,the layered practical training system of hardware in-loop test and vehicle in-loop test was established.Based on the scientific research system,it is established the solid and virtual combination of test site and sand table system.Based on industrial export,a driver safety monitoring system of Internet of things is proposed.With teaching,scientific research and service,it is put forward the construction scheme of the professional training system,and provided a reference for the construction of intelligent transportation related majors in higher vocational colleges.
作者 金雷 李隆帜 王立刚 沈沉 赵宏利 黄艳玲 Jin Lei;Li Longzhi;Wang Ligang;Shen chen;Zhao Hongli;Huang Yanling
出处 《辽宁省交通高等专科学校学报》 2019年第5期49-52,共4页 Journal of Liaoning Provincial College of Communications
关键词 智慧交通 实训体系 硬件在环 车路协同 intelligent traffic practical training system hardware in-loop CVIS
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