MAKE CITIES DIGITALIZED AND SMART
创建数字化的智慧城市
Our Mission:
Aiming to bring breakthroughs in the urban system domain with innovative digital technologies, theories, and platforms to improve the symbiosis value of flows of human, society, resource, energy, material, transportation, carbon, and information for the urban development towards carbon neutrality.
我们的目标:
旨在以创新数字技术、理论和平台突破城市系统领域难题,提升人流、社会流、资源流、能源流、物质流、交通流、碳流、信息流的共生价值,推动城市向碳中和发展。
Our Mission:
The Smart City Laboratory of Peking University is affiliated with the School of Urban Planning and Design, aiming to research the three-dimensional monitoring and simulation of urban human-vehicle-machine flow and analyze its impact on the urban environment. It seeks to innovate digital twin technology and artificial intelligence to promote the process of urban carbon neutrality, optimize urban mobility, and enhance the symbiotic value of multidimensional mobility.
我们的目标:
北大智慧城市实验室隶属于北京大学城市规划与设计学院,旨在研究城市人车机流的立体监测模拟及其对城市环境的影响分析,以创新数字孪生技术和人工智能推动城市碳中和进程,优化城市流动性,提升多维流动的共生价值。
Our Mission:
The Smart City Laboratory of Peking University is affiliated with the School of Urban Planning and Design, aiming to research the three-dimensional monitoring and simulation of urban human-vehicle-machine flow and analyze its impact on the urban environment. It seeks to innovate digital twin technology and artificial intelligence to promote the process of urban carbon neutrality, optimize urban mobility, and enhance the symbiotic value of multidimensional mobility.
我们的目标:
北大智慧城市实验室隶属于北京大学城市规划与设计学院,旨在研究城市人车机流的立体监测模拟及其对城市环境的影响分析,以创新数字孪生技术和人工智能推动城市碳中和进程,优化城市流动性,提升多维流动的共生价值。
News/我们的大事件
March 13, 2024 · 智慧能源March 11, 2024 · 智慧能源March 11, 2024 · 实验室新闻更多文章Projects/我们在做什么
纵向课题:
1、国家自然基金委, 国家青年人才计划, 大数据驱动的城市空间研究,主持
2、同济大学,建筑与城市规划学院建成环境技术中心开放课题, 面向碳中和的城市多维度载流需求及空间资源要素配置优化研究, 主持
横向课题:
1、华为技术有限公司-充电网络需求刻画与时空规划技术合作项目,项目负责人
2、中国水利水电科学研究院-内涝场景下的城市流空间重构,项目负责人
3、青海黄河上游水电开发有限责任公司光伏产业技术分公司-《光伏电站增配储能经济分析和最佳定容研究》,项目负责人
4、时空轨迹数据驱动的交通需求预测模型开发与应用-上海市城市建设设计研究总院(集团)有限公司,项目负责人
Open Source Projects/开源项目
Mobility Data Mining/移动大数据挖掘
We are committed to the research of urban people flow data mining. For details, please refer to our open-source project, OpenMob: https://github.com/openmob/openmob
Urban Solar Photovoltaics/城市光伏
We also focus on urban PV potential estimation using AI technologies. For more details, please see our open-source project, OpenPV: https://github.com/OpenSolarPV/OpenPV
Publications/我们的出版物
Big Data and Mobility as a Service - 1st Edition - Elsevier
Big Data and Mobility as a Service explores MaaS platforms that can be adaptable to the ever-evolving mobility environment. It looks at multi-mode urban crowd data to assess urban mobility characteristics, their shared transportation potential, and their performance conditions and constraints. The book analyzes the roles of multimodality, travel behavior, urban mobility dynamics and participation. Combined with insights on using big data to analyze market and policy decisions, this book is an essential tool for urban transportation management researchers and practitioners.
Handbook of Mobility Data Mining, Volume 1: Data Preprocessing and Visualization - Elsevier
Volume 1: Data Preprocessing and Visualization focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. It first provides a conceptual theory and framework, then goes on to discuss data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment and more. It concludes with a chapter on privacy protection in mobile big data mining.
Handbook of Mobility Data Mining, Volume 2: Mobility Analytics and Prediction - Elsevier
Volume 2: Mobility Analytics and Prediction provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, it then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more. It concludes with a chapter on graph-based mobility data analytics.
Handbook of Mobility Data Mining, Volume 3: Mobility Data-Driven Applications - Elsevier
Volume 3: Mobility Data-driven Applications looks at various cases studies to illustrate and explore the methods introduced in the first two volumes. It begins with a set of chapters on Intelligent Transportation Management, using cases of dynamic road pricing, P2P bidding systems, bicycle-sharing systems, ride-sharing simulation, and customized bus systems. Part 2 then discusses Smart Emergency Management, detailing cases such as the Fukushima Earthquake, Hurricane Katrina, and COVID-19. Part 3 concludes with a set of chapters on Urban Sustainability Development, covering bicycle travel behavior, railway travel behavior, mobility inequality, and both road and light pollution inequality.
Teaching/课程
城市系统优化理论与方法
Theory and Methodologies of Urban System Optimization
学期: 春季学期 开课学年: 2024
城市系统是一城市系统是一个十分复杂的有机整体,在其内部不断地进行物质流、能量流、人员流、信息流的交换。仅仅研究单一城市及其内部空间的差异,不能揭示城市本质和其发展的规律性,需要开展城市系统优化才能揭示城市的实质和作用。系统工程正是以复杂系统为研究对象,着手解决复杂系统问题的学科。因此,本课程将研究对象界定为城市系统,并借鉴系统科学相关理论,对城市系统优化相关理论与方法进行论述。
Awards/获奖
《管道科学与工程杂志》2021-2023 年"编辑委员会卓越证书"
该奖项表彰编辑委员会在维护高质量和专业水准上的卓越表现和奉献精神。评选考量其在编辑领域的专业知识、领导力和影响力。这一荣誉证明了获奖者编辑水准的承诺和卓越表现。
(PAPW 2020)流行病流动干预竞赛入围前十名
物理世界规范分析研讨会(PAPW 2020)2020年8月24日 - 虚拟会议与第26届ACM SIGKDD 2020同时举办,以表彰在抗击流行病的移动干预挑战中脱颖而出,成为顶级入围者。
Small World Al 智慧城市科技创新奖银牌(2023)
为了表彰在智能城市技术领域取得卓越成就的个人、团队或组织而设立的奖项。这些奖项通常致力于推动智能城市技术的创新和发展,促进可持续城市发展和提高城市生活质量。
2022年国际管道行业最高级别青年成就奖
表彰在管道行业领域取得卓越成就的青年专业人士而设立的奖项。这类奖项通常旨在鼓励和推动新一代的行业领袖,同时提供对他们在专业领域取得的成就的公认和肯定。
第25届ACM SIGKDD(国际数据挖掘与知识发现大会,KDD)
KDD,全称:
Knowledge Discovery in Databases,是专注于知识发现和数据挖掘领域的国际学术会议。研究者们在这个平台上了解最新研究趋势、交流思想,为未来科学研究和应用开发奠定基础。
Small World AI 分析创新应用奖(2022)
旨在表彰在实际情境中卓越应用分析技术的杰出成就。推动创新使用分析方法解决复杂问题和改进决策过程。获奖者通常是在业务、医疗保健、交通等领域展示创新和有影响力的分析应用的组织或个人。
Small World AI 分析创新应用奖(2022)
旨在表彰在实际情境中卓越应用分析技术的杰出成就。推动创新使用分析方法解决复杂问题和改进决策过程。获奖者通常是在业务、医疗保健、交通等领域展示创新和有影响力的分析应用的组织或个人。
Awards/获奖
R&D 100 Awards
The R&D 100 Awards have served as the most prestigious innovation awards program for the past 60 years, honoring great R&D pioneers and their revolutionary ideas in science and technology.
The project's copyright belongs to LocationMind. Inc.
Smart 50 Award
Smart 50 Awards - in partnership with Smart Cities Connect and Smart Cities Connect Foundation - annually recognize global smart cities projects, honoring the most innovative and influential work. This year, we will designate three winners from the overall awardee pool.
The project's copyright belongs to LocationMind. Inc.
Finalist of IAAA
Innovative Applications in Analytics Award (IAAA) is to recognize the creative and unique application of a combination of analytical techniques in a new area. The prize promotes the awareness and value of the creative combination of analytics techniques in unusual applications to provide insights and business value.
The project's copyright belongs to LocationMind. Inc.
John Tiratsoo Award
The John Tiratsoo Award for Young Achievement
recognizes the achievements of individuals under 35 years of age who have demonstrated a valuable and original contribution to the industry. Nominations should reference or reflect these qualities: Nature of achievement(s), Industry contribution or innovation, and Leadership potential.
2022全球青年科学家奖
第三届全球前沿科技青年科学家论坛从科技创新、产学研融合及人文三个维度的严格评定,选拔出10位前沿科技领域青年先行者,并于7月21日站在面向世界的舞台上展现科学的魅力。希望“全球前沿科技青年科学家奖”能成为青年科学工作者潜心探索未知世界的精神激励,吸引更多青年人投入到基础科学和前沿技术。
Small World AI 分析创新应用奖(2022)
旨在表彰在实际情境中卓越应用分析技术的杰出成就。推动创新使用分析方法解决复杂问题和改进决策过程。获奖者通常是在业务、医疗保健、交通等领域展示创新和有影响力的分析应用的组织或个人。
Small World AI 分析创新应用奖(2022)
旨在表彰在实际情境中卓越应用分析技术的杰出成就。推动创新使用分析方法解决复杂问题和改进决策过程。获奖者通常是在业务、医疗保健、交通等领域展示创新和有影响力的分析应用的组织或个人。
《管道科学与工程杂志》2021-2023 年"编辑委员会卓越证书"
该奖项表彰编辑委员会在维护高质量和专业水准上的卓越表现和奉献精神。评选考量其在编辑领域的专业知识、领导力和影响力。这一荣誉证明了获奖者编辑水准的承诺和卓越表现。
第25届ACM SIGKDD(国际数据挖掘与知识发现大会,KDD)
KDD,全称:Knowledge Discovery in Databases,是专注于知识发现和数据挖掘领域的国际学术会议。研究者们在这个平台上了解最新研究趋势、交流思想,为未来科学研究和应用开发奠定基础。
Awards/获奖
R&D 100 Awards
The R&D 100 Awards have served as the most prestigious innovation awards program for the past 60 years, honoring great R&D pioneers and their revolutionary ideas in science and technology.
Smart 50 Award
Smart 50 Awards - in partnership with Smart Cities Connect and Smart Cities Connect Foundation - annually recognize global smart cities projects, honoring the most innovative and influential work. This year, we will designate three winners from the overall awardee pool.
Finalist of IAAA
Innovative Applications in Analytics Award (IAAA) is to recognize the creative and unique application of a combination of analytical techniques in a new area. The prize promotes the awareness and value of the creative combination of analytics techniques in unusual applications to provide insights and business value.
2022全球青年科学家奖
第三届全球前沿科技青年科学家论坛从科技创新、产学研融合及人文三个维度的严格评定,选拔出10位前沿科技领域青年先行者,并于7月21日站在面向世界的舞台上展现科学的魅力。希望“全球前沿科技青年科学家奖”能成为青年科学工作者潜心探索未知世界的精神激励,吸引更多青年人投入到基础科学和前沿技术。
John Tiratsoo Award
The John Tiratsoo Award for Young Achievement
recognizes the achievements of individuals under 35 years of age who have demonstrated a valuable and original contribution to the industry. Nominations should reference or reflect these qualities: Nature of achievement(s), Industry contribution or innovation, and Leadership potential.
Awards/获奖
R&D 100 Awards
The R&D 100 Awards have served as the most prestigious innovation awards program for the past 60 years, honoring great R&D pioneers and their revolutionary ideas in science and technology.
Smart 50 Award
Smart 50 Awards - in partnership with Smart Cities Connect and Smart Cities Connect Foundation - annually recognize global smart cities projects, honoring the most innovative and influential work. This year, we will designate three winners from the overall awardee pool.
Finalist of IAAA
Innovative Applications in Analytics Award (IAAA) is to recognize the creative and unique application of a combination of analytical techniques in a new area. The prize promotes the awareness and value of the creative combination of analytics techniques in unusual applications to provide insights and business value.
2022全球青年科学家奖
第三届全球前沿科技青年科学家论坛从科技创新、产学研融合及人文三个维度的严格评定,选拔出10位前沿科技领域青年先行者,并于7月21日站在面向世界的舞台上展现科学的魅力。希望“全球前沿科技青年科学家奖”能成为青年科学工作者潜心探索未知世界的精神激励,吸引更多青年人投入到基础科学和前沿技术。
John Tiratsoo Award
The John Tiratsoo Award for Young Achievement
recognizes the achievements of individuals under 35 years of age who have demonstrated a valuable and original contribution to the industry. Nominations should reference or reflect these qualities: Nature of achievement(s), Industry contribution or innovation, and Leadership potential.
Team/我们的团队
Welcome to join us
团队建设中。欢迎各路英才加入团队
Dr. Qing Yu
余庆
Postdoctoral Fellow/博士后
Muhua Zhao
赵沐华
Research Assistant/科研助理
Zichen Zhang
张子辰
Research Assistant/科研助理
Jiaxing Li
李家兴
Research Assistant/科研助理
Qianwei Cheng
成潜魏
Project researcher/项目研究员
Haiwei Zhi
支海威
Algorithm Engineer/算法工程师
Zepeng Wu
吴泽鹏
Algorithm Engineer/算法工程师
Likun Peng
彭立坤
M1/硕士一年级
Wenqian Zhang
张雯倩
M1/硕士一年级
Wenjie Gong
龚文洁
M0/硕士
Yanzhen Zhang
张言榛
M0/硕士
Liyu Zhang
张力宇
M0/硕士
Siyu Feng
冯思雨
Research Assistant/科研秘书
Xingwen Cao
曹兴文
Intern/实习生
Jian Xu
徐剑
Intern/实习生
Siyuan Liu
刘思远
Intern/实习生
Yuting Chen
陈钰婷
Intern/实习生
Team/我们的团队
Welcome to join us
团队建设中。欢迎各路英才加入团队
Dr. Qing Yu
余庆
Postdoctoral Fellow/博士后
Muhua Zhao
赵沐华
Research Assistant/科研助理
Zichen Zhang
张子辰
Research Assistant/科研助理
Jiaxing Li
李家兴
Research Assistant/科研助理
Zhirong Ling
梁智荣
Project Manager/项目负责人
Qianwei Cheng
成潜魏
Project researcher/项目研究员
Wenzhao Liu
刘文钊
Algorithm Engineer/算法工程师
Haiwei Zhi
支海威
Algorithm Engineer/算法工程师
Zepeng Wu
吴泽鹏
Algorithm Engineer/算法工程师
Zhiyong Peng
彭志勇
Algorithm Engineer/算法工程师
Guangjing Zhou
周广敬
Algorithm Engineer/算法工程师
Qixin Zhou
周启新
Algorithm Engineer/算法工程师
Ziwei Jiang
蒋梓伟
Algorithm Engineer/算法工程师
Sunjun Wen
孙骏文
Algorithm Engineer/算法工程师
Likun Peng
彭立坤
M1/硕士一年级
Wenqian Zhang
张雯倩
M1/硕士一年级
Wenjie Gong
龚文洁
M0/硕士
Yanzhen Zhang
张言榛
M0/硕士
Liyu Zhang
张力宇
M0/硕士
Xingwen Cao
曹兴文
Intern/实习生
Jian Xu
徐剑
Intern/实习生
Siyuan Liu
刘思远
Intern/实习生
Sicong Lai
赖思聪
Research Assistant/科研秘书
Siyu Feng
冯思雨
Research Assistant/科研秘书
Yuting Chen
陈钰婷
Intern/实习生
兄弟课题组
陈奇课题组
工学博士,中国地质大学(武汉)地理与信息工程学院副教授,硕士生导师,东京大学访问研究员(2016-2018年),武汉大学数字摄影测量与计算机视觉研究中心成员。主要从事航空/航天摄影测量和计算机视觉领域的相关研究,研究成果涉及遥感影像配准、影像镶嵌、点云滤波、建筑物分割与矢量测图等技术创新;近年来专注于智能化摄影测量与遥感以及可再生能源遥感方面的研究,主要研究兴趣包括多视图遥感特征学习、分布式光伏开发潜力评估和光伏电站智能化遥感运维等。主持或完成的科研项目包括国家自然科学基金面上项目1项、青年基金项目1项、中国博士后科学基金面上项目1项、中央高校基本科研业务费专项基金项目1项以及其他横向项目多项。公开发表论文40余篇,授权国家发明专利3项。主讲课程包括《计算科学基础》、《计算机视觉与机器学习》、《专业英语》等。
陈云天课题组
东方理工高等研究院助理教授(副高、博导),兼任上海交通大学计算机系博导。研究方向为科学机器学习,主要关注于:
1)物理驱动与数据驱动的融合,2)AI挖掘物理规律。
本科毕业于清华大学能源与动力工程系,同时获北京大学经济学双学位,博士提前毕业于北京大学工学院,并获优秀毕业生荣誉。鹏城实验室博士后。
发表论文30余篇,获授权发明专利18项,主持国家自然科学基金等课题10项,累计经费1510万元。获得中国精品期刊顶尖论文奖,甬江人才工程青年创新人才,Applied Energy客座编辑,Advances in Applied Energy 青年编委。
阎洁课题组
华北电力大学新能源学院教授、博士生导师,新能源电力系统国家重点实验室固定研究人员。研究方向为风光功率预测、风电场运行控制、综合能源系统。
2020 年入选中国科协青年人才托举工程,2023年入选北京市科技新星计划、中国可再生能源学会优秀青年科技人才。担任 Renewable Energy等期刊编委,IEEE Transactions on Power Systems、中国电机工程学报等专刊编委;国际能源署IEA Wind Task 36课题负责人,IEC TC/SC8A工作组专家。主持国家重点研发计划项目、国家自然科学基金等10余项科研项目。