何方，博士，清华大学长聘副教授，博士生导师，现任清华大学工业工程系科研副系主任，清华大学-中国远洋海运集团绿色数智供应链研究院执行副院长。中组部“万人计划”青年拔尖人才。

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，研究领域：

【方法论】

网络建模与优化 Network Modeling and Optimization

大规模组合优化 Large-scale Combinatorial Optimization

深度学习、强化学习 Deep Learning & Deep Reinforcement Learning

【应用行业】

网约车 Ride-sourcing

远洋海运 Maritime

城市交通管理 Urban Traffic Management

物流与仓储 Logistics & Warehousing

新能源基础设施Electric Vehicle Charging & Battery Swapping Infrastructure

何方老师的研究团队每年都有招收博士生计划，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

实验室公众号：THU-STORM

【职称】

长聘副教授，清华大学工业工程系，2020.07至今

副教授，清华大学工业工程系，2016.12-2020.06

助理教授，清华大学工业工程系，2014.10-2016.12

【职务】

清华-中远海运集团绿色数智供应链联合研究院执行副院长，2024.07至今

清华大学工业工程系科研副主任，2024.01至今

清华大学工业工程系党委副书记，2021.03-2024.04

清华大学工业工程系党委研究生工作组组长，2017.07-2021.01

工学博士，美国佛罗里达大学，土木与海岸工程系， 2010-2014，导师：Professor Yafeng Yin（殷亚峰教授）

工学学士，清华大学土木工程系，2006-2010

·中组部国家“万人计划”青年拔尖人才，2020

·国家自然科学基金项目结题绩效评估“特优”项目负责人，2025

·中国公路学会科技进步二等奖，（第一完成人，第一完成单位），2024

·Elsevier中国高被引学者，2019-2024

·清华大学林枫辅导员奖（教师身份），2023

·《电力系统自动化》杂志“电网与交通网融合发展”方向TOP热论文奖，2023

·国家自然科学基金委“铁路基础研究联合基金项目”会评专家（管理学部），2022

·清华大学优秀博士论文指导教师，清华大学，2022

·清华大学优秀硕士论文指导教师，清华大学，2022

·北京市普通高校本科毕业设计（论文）优秀指导教师，北京市教育委员会，2021

·清华大学疫情防控期间在线教学优秀教师优秀奖，2020

·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，2016-2019

·教学优秀奖，清华大学工业工程系，2016，2018，2019

·第18届COTA 国际交通科技年会最佳论文奖，2018

·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

(Google Scholar Citation=5414, H-index=32, as of 2025.6.23)

Referred Journals:

1. Du, C., He, F.*, & Lin, X. (2025). Dynamic pricing for air cargo revenue management. Transportation Research Part E: Logistics and Transportation Review, 197, 104088.

2. Gao, C., Wang, Y., He, F.*, & Lin, X. (2025). Modeling and analyzing ride-hailing market equilibrium considering drivers’ multi-homing choice behavior. Transportation Research Part E: Logistics and Transportation Review, 197, 104055.

3. Yang, J., He, F.*, Shen, Z.J., Lin, X. (2024). Dynamic pricing and service fulfillment of mobile charging systems with stochastic demands. Production and Operations Management.

4. Yan, Y., Lin, X., He, F., & Wang, D. Z.* (2024). Dynamic Operations of a Mobile Charging Crowdsourcing Platform. Transportation Science, 58(5), 995-1015.

5. Lin, X., Chen, Z.*, Li, M., & He, F. (2024). Bunching-Proof Capabilities of Modular Buses: An Analytical Assessment. Transportation Science.

6. Dai, H., He, F.*, & Lin, X. (2024). Integrated operations strategies for shared and privately-owned autonomous vehicles: A deep reinforcement learning framework. Transportation Research Part C: Emerging Technologies, 163, 104621.

7. Si, J., He, F.*, Lin, X., & Tang, X. (2024). Vehicle dispatching and routing of on-demand intercity ride-pooling services: A multi-agent hierarchical reinforcement learning approach. Transportation Research Part E: Logistics and Transportation Review, 186, 103551.

8. Gao, C., Lin, X., He, F.*, & Tang, X. (2024). Online relocating and matching of ride-hailing services: A model-based modular approach. Transportation Research Part E: Logistics and Transportation Review, 188, 103600.

9. Tang, X., Yang, J., Lin, X., He, F.*, & Si, J. (2023). Dynamic operations of an integrated mobility service system of fixed-route transits and flexible electric buses. Transportation Research Part E: Logistics and Transportation Review, 173, 103081.

10. Chen, X., Lin, X., Li, M.*, He, F., & Meng, Q. (2023). A nearly throughput-maximum knotted intersection design and control for connected and automated vehicles. Transportation research part B: methodological, 171, 44-79.

11. Liu, Q., Lin, X., Li, M.*, Li, L., & He, F. (2023). Coordinated lane-changing scheduling of multilane CAV platoons in heterogeneous scenarios. Transportation Research Part C: Emerging Technologies, 147, 103992.

12. Yang, C., Lin, X., Li, M.*, & He, F. (2022). Simulation Comparisons of Vehicle-Based and Movement-Based Traffic Control for Autonomous Vehicles at Isolated Intersections. IEEE Transactions on Intelligent Transportation Systems, 23(12), 22954-22970.

13. Wang, Y., Lin, X., He, F.*, & Li, M. (2022). Designing transit-oriented multi-modal transportation systems considering travelers’ choices. Transportation Research Part B: Methodological, 162, 292-327.

14. Chen, X., Lin, X., Li, M.*, & He, F. (2022). Network-level control of heterogeneous automated traffic guaranteeing bus priority. Transportation Research Part C: Emerging Technologies, 140, 103671.

15. Chen, X., Lin, X., Li, M.*, & He, F. (2022). Multi-rhythm control for heterogeneous traffic and road networks in CAV environments. Transportation Research Part E: Logistics and Transportation Review, 160, 102672.

16. Li, M.*, Tang, P., Lin, X., & He, F. (2022). Multistage planning of electric transit charging facilities under build-operate-transfer model. Transportation Research Part D: Transport and Environment, 102, 103118.

17. Yang, J., He, F.*, Lin, X., Shen, Z.J.*, 2021. Mechanism Design for Stochastic Dynamic Parking Resource Allocation. Production and Operations Management, 30(1), 23–42.

18. Chen, Xiangdong; Li, Meng; Lin, Xi; Yin, Yafeng; HE, FANG*. Rhythmic Control of Automated Traffic-Part I: Concept and Properties at Isolated Intersections. Transportation Science, 55(5), 1233–1256.

19. 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. 55(5), 1257–1279.

20. 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. 110, 38–49.

21. 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, 114, 64–86.

22. 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, 14(8), 938–944.

23. 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, 139, 101956.

24. Chengzhang Wang, Fang He, Xi Lin, 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: Emerging Technologies, 115, 102622.

25. 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, 115, 102621.

26. 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, 115, 102607.

27. Zhang, K., He, F., Zhang, Z., Lin, X., Li, M.*, 2020. Data-driven traffic speed forecasting: graph attention temporal convolutional network. Transportmetrica B: Transport Dynamics, 8(1), 375–395.

28. 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, 87, 102518.

29. 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, 121, 102861.

30. 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, 120, 102777.

31. 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, 119, 102730.

32. Lin, X., Yin, Y., He, F.*, 2020. Credit-based mobility management considering travelers' budgeting behaviors under uncertainty. Transportation Science, 55(2), 297–314.

33. 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, 79, 102247.

34. Lin, X., He, F.*, Li, M., Liu, Y., 2019. On the existence of system-optimum-inducing tolling functions for transportation networks. Transportation Science, 54(6), 1535–1554.

35. 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.

36. 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.

37. 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.

38. 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.

39. 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.

40. 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.

41. 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.

42. 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.

43. 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.

44. 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.

45. 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.

46. 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.

47. 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.

48. 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.

49. Chen, Z., He, F. and Yin, Y.*, 2016. Optimal deployment of charging lanes in transportation networks. Transportation Research Part B. Vol. 91, 344-365.

50. 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.

51. 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.

52. He, F.*, and Yin, Y., 2015. Deploying public charging stations on urban road networks. Transportation Research Part C. Vol. 60, 227-240.

53. He, F.* and Shen, Z.M., 2015. Modeling taxi services with smartphone-based e-hailing applications. Transportation Research Part C. Vol. 58, 93-106.

54. 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.

55. 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.

56. He, F., Yin, Y.*, and Lawphongpanich, S., 2014. Network equilibrium models with battery electric vehicles. Transportation Research Part B. Vol. 67, 306-319.

57. 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.

58. 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.

59. 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.

纵向课题

· 多平台网约车市场的博弈与聚合研究：均衡分析与运营策略优化，国家自然科学基金面上项目，负责人

· 考虑汽车智能化与网联化技术的城市交通管理关键问题研究，中组部国家“万人计划”青年拔尖人才，负责人

· 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，后评估为“特优”

· 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

· 中远海运集装箱运输有限公司，央企数转重点项目，航线网络规划人工智能与机器学习算法研究，主持

· 中远海运集装箱运输有限公司，央企数转重点项目，集装箱卡车运输服务模型研究，主持

· 北京白龙马云行科技有限公司，横向合作，大数据驱动的网约车智慧营销算法研究，主持

· 湖北荣创科技有限公司，横向合作，2023年武汉公共充电大数据分析与挖掘，主持

· 宁波舟山港股份有限公司，横向合作，鼠浪湖码头智慧排产算法项目，子课题负责人

· 丰田公司，横向合作，（丰田跨学科专项2022）面向智慧城市的智能出行系统与示范，子课题负责人

· 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

· 丰田公司，横向合作，缓解交通拥堵的最优收费策略探究一种数据驱动方法，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

· 副主编， Transportation Science，2025至今

· 编辑（负责 组织审稿工作）， Transportation Research Part B，2021至今

· 编委， Transportation Research Part C，2017至今

· 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)

· 中国工程院院刊工程管理前沿特约通讯专家，2022至今

· 国家自然科学基金委“铁路基础研究联合基金项目”会评专家，2022

· 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

· 专刊组稿专家，《交通运输工程学报》，2020-2021

· 特刊编辑，IET Smart Grid，2019-2020

· 国家自然科学基金委函评专家，2018-2020

· 世界交通运输大会交通网络设计技术委员会委员，2018

· 北京市交管局专家库成员，2019-至今

· 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

· 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

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）

物流与供应链管理，研究生，秋季学期（课号80160223-0)

运筹学/AI在交通物流运输中的应用，培训课程

·主旨报告AI Driving Innovation in Digital Supply Chain Services, 海洋联盟全球港航合作伙伴大会，2025

·美国运筹学与管理学研究协会国际会议交通电动化分会场主席（受邀），2025

·第25届ISTTT组委会成员，2023

·第29届智能交通世界大会，高级别行政会议特邀报告，2023

·Winter Simulation Conference (WSC) Track Program Committee Member，2024

·Facility Planning and Operations Management for Electric Vehicles, The 4th IEEE Conference on Energy Internet and Energy System Integration, 2020

·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

·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）, 2020

·Towards Future Mobility: Opportunities, Challenges, and Paths, Beijing, International Workshop on Optimization Challenges and Opportunities in Logistics and Mobility, 2019

·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

·Rhythmic control of automated vehicles for isolated intersections, Nanjing, Workshop for Yong Scholars of Transportation Engineering and Management, 2019

·Credit-based Mobility Management Considering Travelers’ Budgeting Behavior under Uncertainty, Beijing, International Workshop on Multi-modal Transportation, 2019

·Infrastructure-based Cloud Control of Automated Transportation, Hawaii, IEEE International ITS Conference, 2018

·The Date That Can't Be Late-Traffic Status Forecasting Based on Deep Learning Method, Hangzhou, The Computing Conference（云栖大会）, 2018

·Multi-source Big Data Driven Transportation Management Decision and Optimization, Chongqing, 2018 Smart China Expo Transportation Forum (智博会), 2018

·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

·Vehicle Scheduling under Stochastic Trip Times: An Approximate Dynamic Programming Approach, China National Convention Center, Beijing, 2018 World Transport Convention - Traffic network modeling session, 2018

·Big Data Driven Transportation Management, Beijing Carsmart Technology Co., Ltd., 2017

A Systematic Investigation of General Nonlinear Road Pricing, University of Michigan, Ann Arbor, USA (Seminar)（美国密西根大学）, 2017

·Optimal Design of Urban Taxi Fleet Electrification: A Simulation-Based Optimization Approach, Houston, USA, 2017 INFORMS Annual Meeting (Invited Presentation), 2017

·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

·A Systematic Investigation of General Nonlinear Road Pricing, Beihang University & Beijing Jiao Tong University & Shanghai Jiao Tong University (Seminar), 2017.03 & 2017.10

·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, 2016

· "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.