【SIS】大语言模型在交通研究领域的机会与挑战
时间（Time）：2023-06-17 10:15 - 12:45
地点（Room）：会议厅3-2（Room 3-2）
专业方向：公路工程 隧道工程 桥梁工程 交通工程 运输规划 水上运输 轨道交通 航空运输 交叉学部 其他
意向人群：不限
议题概述/Topic Overview
随着大型语言模型ChatGPT爆火以来，其让人们看到了复杂场景下的大规模知识抽取和表达的希望，以知识表达和调用为核心的AI语言生成应用对交通行业带来了前所未有的冲击与机会。本次会议旨在邀请相关领域的专家学者，就交通领域的大语言模型建设研究和大语言模型支撑交通业务下知识集成、经验复用、快速赋能业务应用决策等方面进行深入讨论，同时探讨大语言模型在交通研究领域未来的发展方向，为相关领域的研究和实践提供有益的参考。
Since the explosion of the large-scale language model ChatGPT, it has brought people hope for large-scale knowledge extraction and expression in complex scenarios. AI language generation applications with knowledge representation and invocation as the core have brought unprecedented impact and opportunities to the transportation industry. This conference aims to invite experts and scholars in related fields to have in-depth discussions on the construction and application of large language models in the transportation field, including knowledge integration, experience reuse, and rapid decision-making support for business applications in the transportation industry. At the same time, we will explore the future development direction of large language models in the transportation research field, providing useful references for related research and practical applications.
日程安排/Agenda
议程1：大语言模型对交通行业的影响和变革
议程2：交通领域大语言专题模型研究介绍
议程3：交通领域大语言专题模型应用展望
议程4：大语言模型对于高校人才培养的思考
议程2：交通领域大语言专题模型研究介绍
议程3：交通领域大语言专题模型应用展望
议程4：大语言模型对于高校人才培养的思考
Agenda 1: The Impact and Changes of Large Language Models on the Transportation Industry
Agenda 2: Introduction to the Research of Large Language Models in the Transportation Field
Agenda 3: Prospects of Large Language Models Application in the Transportation Field
Agenda 4: Reflection on the Large Language Model for Talent Cultivation in Universities
Agenda 2: Introduction to the Research of Large Language Models in the Transportation Field
Agenda 3: Prospects of Large Language Models Application in the Transportation Field
Agenda 4: Reflection on the Large Language Model for Talent Cultivation in Universities
发起人/Organizer
丘建栋 深圳市城市交通规划设计研究中心股份有限公司 交通信息与模型院院长
Qiu Jiandong, Shenzhen Urban Transport Planning Center, Director of Info & Model Department
具有18年交通建模和大数据领域从业经验，主持或参与30余项大中城市的大数据及仿真平台项目，参与10项部省市级科研课题，是《利雅得宏观交通模型》、《城市交通大数据智能计算平台》等课题主要负责人，科研贡献卓越。累计申请30项专利，发表论文35篇，参编5本专著和行业标准。曾获华夏科技奖、中国智能交通科技奖、中国公路科学技术奖、深圳市科技进步奖等23项省市级奖项。获评为深圳市高层次专业领军人才。
主要参与人/Guests
杨超, 同济大学, 教授
Yang Chao, Tongji University Urban Mobility Institute, Professor
伍速锋, 中国城市规划设计研究院, 城市交通研究分院院长助理
Wu Sufeng, China Academy of Urban Planning & Design, Assistant Dean of Urban Transportation Research Institute
缐凯, 北京交通发展研究院, 研发中心主任
Xian Kai, Beijing Transportation Development Research Institute, Director of R&D Center
陈先龙, 广州市交通规划研究院, 副所长
Chen Xianlong, Guangzhou Transport Planning Institude, Vice Director
邹亮, 深圳大学土木与交通学院, 副院长
Zhou Liang, School of Civil Engineering and Transportation, Shenzhen University, Associate Dean
何流, 南京理工大学, 副教授
He Liu, Nanjing University of Science and Technology, Associate Professor
郑猛, 武汉市规划研究院（武汉市交通发展战略研究院）, 交通仿真中心主任
Zheng Meng, Wuhan Planning and Design Institute(Wuhan Transportation Development Strategy Institute), Director of Transport Simulation Center
屈新明, 深圳市城市交通规划设计研究中心股份有限公司, 智慧街区业务线副总经理
Qu Xinming, Shenzhen Urban Transport Planning Center Co., Ltd, Vice General Manager of Smart Street Business Department
聂小建, 百度, 智能交通首席科学家
Nie Xiaojian, Baidu, Chief Scientist in Smart Transportation
加入会议成员/Enrolled Members
柯锦涛 谢宁 周亦威