何方，副教授
联系信息 姓名：何方 办公电话： +86- 邮箱：发送邮件 传真号码：+86- 地点：舜德楼北502 教师主页：




个人简介

何方 (博士、副教授) 的研究致力于综合运用运筹优化、经济学分析及人工智能等方法，解决与交通科学及工程相关的管理优化问题，特别关注于未来城市及交通系统的规划及运营问题的建模与优化求解。
何方博士的研究兴趣具体包括以下几个方面：
自动化交通
电动化交通
数据化交通
何方老师的研究团队每年都有计划招收博士后、博士生、硕士生，欢迎有志学术研究、爱好创新探索研究的同学发送简历到fanghe@tsinghua.edu.cn
工作经历
工业工程系党委纪检委员、研究生工作组组长，2017年6月至今
副教授，2016.12至今，清华大学工业工程系
助理教授，2014.10—2016.12，清华大学工业工程系
教育背景
工学博士 （2010.08—2014.08），美国佛罗里达大学可持续工程学院,交通科学与工程专业，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，结构工程专业
论文发表 (Google Scholar Citation=1164, H-index=16, as of 2019.11)
Lin, X., He, F.*, Li, M., Liu, Y., 2019. On the existence of system-optimum-inducing tolling functions for transportation networks. Transportation Science, accepted.
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.
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.
He, F., Yin, Y.*, and Lawphongpanich, S., 2013. Network equilibrium models with battery electric vehicles. Transportation Research Part B. Vol. 67, 306-319.
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.
Chen, Z., He, F. and Yin, Y.*, 2016. Optimal deployment of charging lanes in transportation networks. Transportation Research Part B. Vol. 91, 344-365.
Chen, Z., He, F., and Yin, Y.*, 2016. Optimal design of autonomous vehicle zones in transportation networks. Transportation Research Part B. Vol. 99, 44-61.
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.
He, F.*, and Yin, Y., 2015. Deploying public charging stations on urban road networks. Transportation Research Part C. Vol. 60, 227-240.
He, F.* and Shen, Z.M., 2015. Modeling taxi services with smartphone-based e-hailing applications. Transportation Research Part C. Vol. 58, 93-106.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
科研项目
纵向课题
科学技术部，国家重点研发计划课题，新兴交通形态应用边界与协同管控模式研究（冬奥会交通与安保协同管控体系），主持
国家自然科学基金面上项目，城市交通电动化：规划与运营关键理论研究，主持
国家自然科学基金青年项目，基于链式出行行为的电动汽车公共充换电设施规划研究，主持
国家自然科学基金联合基金项目重点项目，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，共同负责人
北京市自然科学基金预探索项目，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，主持
交通运输部，大数据时代交通运输治理与服务模式创新，共同负责人
企业横向
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
编委，Transportation Research Part C （IF=5.775，Q1）
委员，中国管理科学与工程学会交通运输管理分会,
客座编辑，《IET Smart Grid》
执行委员，清华-戴姆勒可持续交通研究中心
委员，世界交通运输大会交通网络设计技术委员会
联合项目主任，清华大学人工智能创新创业辅修专业
函评专家，国家自然科学基金委
专家库成员，北京交管局
审稿人，近20本国际期刊 (including MS, TS, POMS, TR-Part A- E)
讲授课程
交通工程与管理理论 ，研究生，春季学期（课号**-0）
交通系统规划与控制，本科生， 春季学期（课号**-0）
公众演讲
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基于车道的交替通行策略（LACS）：一种全新的交叉口控制模式, 南京，2019年交通工程与管理青年论坛
2019.4 Credit-based Mobility Management Considering Travelers,rsquo; 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 (Invited Speech)（云栖大会）
2018.8 Multi-source Big Data Driven Transportation Management Decision and Optimization, Chongqing, 2018 Smart China Expo Transportation Forum (Invited Speech)（智博会）
2018.7 Vehicle Scheduling under Stochastic Trip Times: An Approximate Dynamic Programming Approach, Tsinghua University, Alumni Forum - Department of Civil Engineering (Invited Speech) （清华土木系系友论坛）
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 (Invited Speech) （世界交通运输大会）
2017.11 Big Data Driven Transportation Management, Beijing Carsmart Technology Co., Ltd. (Seminar) （车网互联公司）
2017.10 A Systematic Investigation of General Nonlinear Road Pricing, University of Michigan, Ann Arbor, USA (Seminar) （美国密歇根大学）
2017.10 Optimal Design of Urban Taxi Fleet Electrification: A Simulation-Based Optimization Approach, Houston, USA, 2017 INFORMS Annual Meeting (Invited Presentation) （INFOMRS）
2017.10 Vehicle Scheduling under Stochastic Trip Times: An Approximate Dynamic Programming Approach, University of Michigan, Ann Arbor, USA (Seminar) （美国密歇根大学）
2017.3 , 2017.10 A Systematic Investigation of General Nonlinear Road Pricing, Beihang University , Beijing Jiao Tong University , Shanghai Jiao Tong University (Seminar) (北航，北交大,上交大)
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 (Invited Speech)
"Optimal travel time displays for dynamic message signs". Transportation Research Board 91st Annual Meeting, Washington, D.C., USA, January 2012.
"Integrated management of road and power networks coupled by electric and plug-in hybrid electric vehicles". 2012 NSF Engineering Research and Innovation Conference, Boston, MA, USA, July 2012.
"Integrated pricing of road and power networks coupled by electric vehicles". INFORMS Annual Meeting 2012, Phoenix, AZ, USA, October 2012.
"Integrated pricing of roads and electricity enabled by wireless power transfer". Transportation Research Board 92ndAnnual Meeting, Washington, D.C., USA, January 2013.
"Optimal prices of electricity at public charging stations for plug-in electric vehicles". University Transportation Center (UTC) Conference for the Southeastern Region, Orlando, FL, USA, April 2013.
"Analysis and design of tradable credit schemes on networks with mixed equilibrium behaviors". INFORMS Annual Meeting 2013, Minneapolis, MN, USA, October 2013.
"Optimal prices of electricity at public charging stations for plug-in electric vehicles". INFORMS Annual Meeting 2013, Minneapolis, MN, USA, October 2013.
"Network equilibrium models with battery electric vehicles". Transportation Research Board 93rd Annual Meeting, Washington, D.C., USA, January 2014.
"Analysis and design of tradable credit schemes on networks with mixed equilibrium behaviors". Transportation Research Board 93rd Annual Meeting, Washington, D.C., USA, January 2014.
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.