个人简介
何方博士现任清华大学工业工程系长聘副教授，2020年入选国家级青年人才计划 。何方老师长期致力于交通运筹与管理领域的教学与科研工作，研究兴趣具体包括以下几个方面：
何方老师的研究团队每年都有计划招收博士生、硕士生，欢迎有志学术研究的同学发送简历到fanghe@tsinghua.edu.cn。
何方老师的研究团队长期招聘博士后与合同制研究人员，感兴趣请发送简历到fanghe@tsinghua.edu.cn。
工作经历
教育背景
工学博士 （2010.08—2014.08），美国佛罗里达大学土木与海岸工程系, 导师：Professor Yafeng Yin（殷亚峰教授）
工学学士 （2006.09—2010.07），清华大学土木工程系
荣誉与奖励
· 国家级青年人才计划，2020
· 清华大学疫情防控期间在线教学优秀教师优秀奖，2020
· Elsevier 2019年中国高被引学者
· 清华大学大学生研究训练（SRT）计划优秀指导教师一等奖，2019
· 第18届COTA 国际交通科技年会最佳论文奖，2018
· 第11届计算交通科学国际研讨会最佳论文奖，2019
· 综合考核优秀奖，清华大学工业工程系，2015，2016，2019
· 科研优秀奖，清华大学工业工程系，2016，2017，2018，2019
· 教学优秀奖，清华大学工业工程系，2016， 2018，2019
· Stella Dafermos最佳论文提名奖，美国交通研究委员会网络建模委员会（ADB30）, 2015
· 杰出学术奖，美国佛罗里达大学可持续工程学院，2014
论文发表 (Google Scholar Citation=1931, H-index=19, as of 2021.04.08)
Referred Journals:
1. Chen, Xiangdong; Li, Meng; Lin, Xi; Yin, Yafeng; HE, FANG*, 2021. Rhythmic Control of Automated Traffic-Part I: Concept and Properties at Isolated Intersections. Transportation Science, Accepted.
2. Lin, X., Li, M., Shen, Z.-J., Yin, Y., He, F.*, 2021. Rhythmic Control of Automated Traffic Part II: Grid Network Rhythm and Online Routing. Transportation Science. Accepted.
3. Lin, X., Yin, Y., He, F.*, 2020. Credit-based mobility management considering travelers' budgeting behaviors under uncertainty. Transportation Science, accepted.
4. Lin, X., He, F.*, Li, M., Liu, Y., 2019. On the existence of system-optimum-inducing tolling functions for transportation networks. Transportation Science, accepted.
5. Chen, Z., He, F., and Yin, Y.*, 2017. Optimal design of autonomous vehicle zones in transportation networks. Transportation Research Part B. Vol. 99, 44-61.
6. Chen, Z., He, F. and Yin, Y.*, 2016. Optimal deployment of charging lanes in transportation networks. Transportation Research Part B. Vol. 91, 344-365.
7. He, F., Yin, Y.*, Chen, Z., and Zhou, J., 2015. Pricing of parking games with atomic players. Transportation Research Part B. Vol. 73, 1-12.
8. He, F., Yin, Y.*, and Lawphongpanich, S., 2014. Network equilibrium models with battery electric vehicles. Transportation Research Part B. Vol. 67, 306-319.
9. He, F., Yin, Y.*, Nima, S., and Nie, Y., 2013. Tradable credit schemes on networks with mixed equilibrium behaviors. Transportation Research Part B. Vol. 57, 47-65.
10. He, F., Wu, D., Yin, Y.*, and Guan, Y., 2013. Optimal deployment of public charging stations for plug-in hybrid electric vehicles. Transportation Research Part B. Vol. 47, 87-101.
11. An, Y., Lin, X., Li, M.*, He, F., 2021. Dynamic Governance Decisions on Multi-modal Inter-city Travel during a Large-scale Epidemic Spreading. Transport Policy. Accepted
12. Huang, K., Wu, J.*, Liao, F.*, Sun, H., He, F., Gao, Z., 2020. Incorporating multimodal coordination into timetabling optimization of the last trains in an urban railway network. Transportation Research Part C: Emerging Technologies, accepted.
13. Zhang, Z., He, F., Lin, X., Wang, Y., Li, M.*, 2020. High-performance traffic speed forecasting based on spatiotemporal clustering of road segments. IET Intelligent Transport Systems, accepted
14. Wang, Y., Li, M., Lin, X., He, F.*, 2020. Online operations strategies for automated multistory parking facilities. Transportation Research Part E: Logistics and Transportation Review, accepted.
15. Chengzhang Wang, Xi Lin, Fang He, Max Zuo-Jun Shen and Meng Li*，2020. Hybrid of Fixed and Mobile Charging Systems for Electric Vehicles: System Design and Analysis. Accepted in ISTTT24 Symposium, Published in Special Issue of Transportation Research Part C.
16. Tang, X., Li, M., Lin, X., He, F.*, 2020. Online operations of automated electric taxi fleets: a two-step reinforcement learning framework. Transportation Research Part C: Emerging Technologies, accepted.
17. Chen, X., Lin, X., He, F., Li, M., 2020. Modeling and Control of Automated Vehicle Access on Dedicated Bus Rapid Transit Lanes. Transportation Research Part C: Emerging Technologies, accepted.
18. Zhang, K., He, F., Zhang, Z., Lin, X., Li, M.*, 2020. Graph attention temporal convolutional network for traffic speed forecasting on road networks Transportmetrica B: Transport Dynamics, accepted.
19. Tang, P., He, F., Lin, X., Li, M.*, 2020. Online-to-offline mobile charging system for electric vehicles: strategic planning and online operation. Transportation Research Part D: Transport and Environment, accepted.
20. Zhang, K., He, F., Zhang, Z., Lin, X., Li, M.*, 2020. Multi-vehicle routing problems with soft time windows: a multi-agent reinforcement learning approach. Transportation Research Part C: Emerging Technologies, accepted.
21. An, Y., Li, M., Lin, X., He, F.*, Yang, H., 2020. Conflict-free routing in dedicated automated vehicle zones. Transportation Research Part C: Emerging Technologies, accepted.
22. Li, H., Li, M., Lin, X., He, F.*, Wang, Y., 2020 Traffic data imputation with complicated missing patterns: a combined approach with prophet time series and iterative random forest. Transportation Research Part C: Emerging Technologies, accepted.
23. Luo Z., He F., Lin, X., Wu, J., Li, M.*, 2020. Joint deployment of charging stations and photovoltaic power plants for electric vehicles. Transportation Research Part D: Transport and Environment, accepted.
24. Yan, H., He, F., Lin, X., Yu, J., Li, M.* and Wang, Y., 2019. Network-level multiband signal coordination scheme based on vehicle trajectory data. Transportation Research Part C: Emerging Technologies, 107, pp.266-286.
25. Tang, X., Lin, X. and He, F.*, 2019. Robust scheduling strategies of electric buses under stochastic traffic conditions. Transportation Research Part C: Emerging Technologies, 105, pp.163-182.
26. Zhang, Z., Li, M., Lin, X., Wang, Y. and He, F.*, 2019. Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies. Transportation Research Part C: Emerging Technologies, 105, pp.297-322.
27. Wang, C., He, F., Lin, X., Shen, Z.J.M. and Li, M.*, 2019. Designing locations and capacities for charging stations to support intercity travel of electric vehicles: An expanded network approach. Transportation Research Part C: Emerging Technologies, 102, pp.210-232.
28. Li, H., He, F., Lin, X., Wang, Y. and Li, M.*, 2019. Travel time reliability measure based on predictability using the Lempel–Ziv algorithm. Transportation Research Part C: Emerging Technologies, 101, pp.161-180.
29. Yang, Y.*, Li, M., Yu, J. and He, F., 2019. Expressway bottleneck pattern identification using traffic big data—The case of ring roads in Beijing, China. Journal of Intelligent Transportation Systems, pp.1-14.
30. He, F., Yang, J., and Li, M.*, 2018. Vehicle scheduling under stochastic trip times: An approximate dynamic programming approach. Transportation Research Part C: Emerging Technologies, 96, 144-159.
31. Lin, X., Li, M., and He, F*., 2018. Nonlinear pricing in linear cities with elastic demands. Transportation Research Part C: Emerging Technologies, 95, 616-635.
32. He, F*., Wang, X., Lin, X. and Tang, X., 2018. Pricing and penalty/compensation strategies of a taxi-hailing platform. Transportation Research Part C: Emerging Technologies, 86, pp.263-279.
33. Kontou, E.*, Yin, Y., Lin, Z., He, F., 2017. Socially optimal replacement of conventional with electric vehicles for the US household fleet. International Journal of Sustainable Transportation, 11(10), 749-763.
34. Li, M., Jia, Y., Shen, Z.M., He, F.*, 2017. Improving the electrification rate of the vehicle miles traveled in Beijing: A data-driven approach. Transportation Research Part A. Vol. 97, 106-120.
35. Chen, Z., He, F., Zhang L.* and Yin Y., 2016. Optimal deployment of autonomous vehicle lanes with endogenous market penetration. Transportation Research Part C. Vol. 72, 143-156.
36. Wang, X.*, He, F., Yang, H. and Gao, H.O., 2016. Pricing strategies for a taxi-hailing platform. Transportation Research Part E. Vol. 93, 212-231.
37. Li, M., Lin, X., He, F.* and Jiang, H., 2016. Optimal locations and travel time display for variable message signs. Transportation Research Part C. Vol. 69, 418-435.
38. He, F., Yin, Y.*, Wang, J., and Yang, Y., 2016. Optimal prices of electricity at public charging stations for plug-in electric vehicles. Networks and Spatial Economics. Vol. 16, 131-154.
39. He, F.*, and Yin, Y., 2015. Deploying public charging stations on urban road networks. Transportation Research Part C. Vol. 60, 227-240.
40. He, F.* and Shen, Z.M., 2015. Modeling taxi services with smartphone-based e-hailing applications. Transportation Research Part C. Vol. 58, 93-106.
41. Chen, Z., Yin, Y.*, He, F. and Lin, J.L., 2015. Parking reservation for managing downtown curbside parking. Transportation Research Record. Vol. 2498, 12-18.
42. He, F., Yin, Y.*, and Zhou, J., 2013. Integrated pricing of roads and electricity enabled by wireless power transfer. Transportation Research Part C. Vol. 34, 1-15.
科研项目
纵向课题
· 新兴交通形态应用边界与协同管控模式研究，国家重点研发计划课题，负责人
· 城市交通电动化：规划与运营关键理论研究，国家自然科学基金面上项目，负责人
· 基于链式出行行为的电动汽车公共充换电设施规划研究，国家自然科学基金青年项目，负责人
· 考虑手机招车软件的城市出租车网络均衡建模与运营机制优化，北京市自然科学基金，负责人
· 大数据时代交通运输治理与服务模式创新，中华人民共和国交通运输部，共同负责人
· 能源网-信息网-交通网三网融合的规划与运行关键技术研究，国家自然科学基金联合基金项目重点项目，共同负责人
企业横向
· 丰田公司，横向合作，未来城市多模式公共出行服务系统的设计与运营优化，主持
· 丰田公司，横向合作，考虑自动驾驶出行的城市多模式交通系统效率提升探究，主持
· 胶州物流研究中心，基于节拍的网络流控制方法，主持
· 丰田预探索项目，横向合作，数据驱动的拥堵收费研究，主持
· 戴姆勒奔驰，横向项目，自动驾驶辅助系统通用评价标准，子课题负责人
· 高德地图，横向项目，交通大数据分析及应用，子课题负责人
· 高德地图，横向项目，交通状况预测，子课题负责人
· 高德地图，横向项目，交通与污染物排放关联性分析，子课题负责人
· 戴姆勒奔驰，横向项目，多模式交通大数据分析，主持
· 高德地图，横向项目，基于大数据分析的交通拥堵缓解政策探究，子课题负责人
· 上海锐力健身装备有限公司，横向项目，基于机器学习模型的销量预测，主持
· 高德地图，横向项目，基于过饱和状态的多模式交通大数据分析与治堵政策研究，主持
· 中国民航科学技术研究院，横向项目，航班监控系统开发，子课题负责人
· 高德地图，横向项目，交通大数据挖掘与信息分析，主持
专业活动
· 专刊组稿专家，《交通运输工程学报》（2020.12-2021.8）
· 编委编辑，Transportation Research Part B （2021至今）
· 中国“双法”研究会高等教育管理分会常务理事，2020-2021
· IEEE PES中国区电动汽车技术委员会常务理事，2020-2021
· 编委, Transportation Research Part C (2017-至今)
· 特刊编辑, IET Smart Grid (2019-2020)
· 审稿人，近20本国际期刊(包括 MS, POM, TR-Part A-E)
· 中国管理科学与工程学会交通运输管理分会常务理事 (2017-至今)
· 世界交通运输大会交通网络设计技术委员会委员 (2018)
· 国家自然科学基金委函评专家 (2018、2019、2020)
· 北京市交管局专家库成员 (2019-至今)
· 清华-戴姆勒可持续交通研究中心执行委员 (2016-2019)
· 清华大学人工智能创新创业辅修专业联合项目主任 (2017-2020)
· 清华大学未来交通与智能汽车交叉研究中心委员 (2018-2021)
讲授课程
· 交通工程与管理理论 ，研究生，春季学期（课号80160182-0）
· 交通系统规划与控制，本科生， 春季学期（课号40160343-0）
受邀演讲与学术讲座（2016年至今）
· 2020. 10. Facility Planning and Operations Management for Electric Vehicles, The 4th IEEE Conference on Energy Internet and Energy System Integration
· 2020. 10，自动驾驶时代的城市交通组织优化，第三届交通工程与管理青年学者论坛
· 2020.8 Towards Future Mobility: Opportunities, Challenges, and Paths, 中国优选法统筹法与经济数学研究会网络分会年会（分会场报告）
· 2019. 12. Towards Future Mobility: Opportunities, Challenges, and Paths, Beijing, International Workshop on Optimization Challenges and Opportunities in Logistics and Mobility
· 2019. 6. A Rhythmic Control Framework for Connected and Automated Vehicles on One-Way Grid Networks, Nanjing, Workshop on Ride-sourcing Systems and Data-driven Transportation Management
· 2019.4 Rhythmic control of automated vehicles for isolated intersections, Nanjing, Workshop for Yong Scholars of Transportation Engineering and Management
· 2019.4 Credit-based Mobility Management Considering Travelers’ Budgeting Behavior under Uncertainty, Beijing, International Workshop on Multi-modal Transportation
· 2018. 11 Infrastructure-based Cloud Control of Automated Transportation, Hawaii, IEEE International ITS Conference
· 2018.9.21 The Date That Can't Be Late-Traffic Status Forecasting Based on Deep Learning Method, Hangzhou, The Computing Conference （云栖大会）
· 2018.8 Multi-source Big Data Driven Transportation Management Decision and Optimization, Chongqing, 2018 Smart China Expo Transportation Forum (智博会)
· 2018.7 Vehicle Scheduling under Stochastic Trip Times: An Approximate Dynamic Programming Approach, Tsinghua University, Alumni Forum - Department of Civil Engineering （清华大学土木系系友论坛）
· 2018.6 Vehicle Scheduling under Stochastic Trip Times: An Approximate Dynamic Programming Approach, China National Convention Center, Beijing, 2018 World Transport Convention - Traffic network modeling session
· 2017.11 Big Data Driven Transportation Management, Beijing Carsmart Technology Co., Ltd.
· 2017.10 A Systematic Investigation of General Nonlinear Road Pricing, University of Michigan, Ann Arbor, USA (Seminar)（美国密西根大学）
· 2017.10 Optimal Design of Urban Taxi Fleet Electrification: A Simulation-Based Optimization Approach, Houston, USA, 2017 INFORMS Annual Meeting (Invited Presentation)
· 2017.10 Vehicle Scheduling under Stochastic Trip Times: An Approximate Dynamic Programming Approach, University of Michigan, Ann Arbor, USA (Seminar) （美国密西根大学）
· 2017.3 & 2017.10 A Systematic Investigation of General Nonlinear Road Pricing, Beihang University & Beijing Jiao Tong University & Shanghai Jiao Tong University (Seminar)
· 2016.10 Improving the Electrification Rate of the Vehicle Miles Traveled in Beijing: A Data-driven Approach, Anhui Polytechnic University, China, 2016 NSFC Conference for Yong Scholars - Management Science and Engineering
媒体报道
· "Intelligent Transportation Construction Needs to Fully Utilize the Value of Big Data", Chongqing Daily, 2018.8.25. (重庆日报)
· "Smart China Expo Will Bring Greater Power to Chongqing Development" Chongqing Morning Post, 2018.8.25. （重庆晨报）
· "A Long Way to Go, but Winning in the Future- An Exclusive Interview with Professor Fang He", Scientific Chinese, Vol. 2, 2018. （科学中国人专访）
· "Future Transportation and Urban Computing Lab Announces Traffic Forecasting Research Findings on the Computing Conference", China.com, 2018.9.19.
