[32] Wang Z, Liu K, Zhu L, Jiang H* (2021) Detecting the occurrence times and locations of multiple traffic crashes simultaneously with probe vehicle data. Transportation Research Part C 126:1-12, accepted. (对多个交通事故发生时间和地点的检测模型)
[31] Chen X, Jiang H* (2020) Detecting the Demand Changes of Bike Sharing: A Bayesian Hierarchical Approach. IEEE Transactions on Intelligent Transportation Systems Early Access, accepted. (共享单车需求的变点检测)
[30] Su, S., E. Chaniotakis, S. Narayanan, H. Jiang, C. Antoniou* (2020) Clustered tabu search optimization for reservation-based shared autonomous vehicles. Transportation Letters: the International Journal of Transportation Research, accepted. (共享自动驾驶车辆的调度算法)
[29] Chen, Z.†, H. Jiang* (2020) Impacts of high-speed rail on domestic air cargo traffic in China. Tranportation Research Part A, accepted. (高速铁路对航空货运的影响分析)
[28] Liu, S.†, H. Jiang*, S. Chen, J. Ye, R. He, Z. Sun (2020) Integrating Dijkstra's algorithm into deep inverse reinforcement learning for food delivery route planning. Tranportation Research Part E, 142. (利用深度逆强化学习对外卖配送路径进行优化)
[27] Tao, J.†, H. Dai, H. Jiang, W. Chen*, “Dispatch optimization in O2O on-demand service with crowd-sourced and in-house drivers”, International Journal of Production Research, accepted. (O2O外卖平台专送与众包骑手的派送优化)
[26] Wang, Z.†, L. Zhu, B. Ran and H. Jiang*, “Queue profile estimation at a signalied intersection by exploiting the spatiotemporal propagation of shockwaves”, Transportation Research Part B, 141:59-71, 2020. (信号灯路口排队长度的预测模型)
[25] Chen, R.† and H. Jiang*, Capacitated assortment and price optimization under the nested logit model, Journal of Global Optimization, 77:895-918, 2020.
[24] Chen, R.† and H. Jiang*, “Assortment Optimization with Position Effects under the Nested Logit Model”, Naval Research Logistics, 67(1):21-33, 2020. (基于Nested Logit模型,对综合性电商的商品品类及搜索结果排序进行优化以最大化收益)
[23] Zheng, Z.†, Z. Wang†, L. Zhu, and H. Jiang*, “Determinants of the congestion caused by a traffic accident in urban road networks”, Accident Analysis & Prevention, 136, 2020. (对城市路网中交通事故造成的拥堵进行了成因分析)
[22] Wang, Z.† and H. Jiang*, “Identifying secondary crashes on freeways by leveraging the spatiotemporal evolution of shockwaves in the speed contour plot”, Journal of Transport Engineering, 146(2):04019072, 2020. (基于时空冲击波的路网二次事故侦测模型)
[21] Chen, Z.†, Z. Wang†, and H. Jiang*, “Analyzing the heterogeneous impacts of high-speed rail entry on air travel in China: A hierarchical panel regression approach”, Transportation Research Part A, 127:86-98, 2019. (高速铁路对民航的异质性影响:基于层次面板回归模型的分析)
[20] Wang, Z.† and H. Jiang*, “Simultaneous correction of the time and location bias associated with a reported crash by exploiting the spatiotemporal evolution of travel speed”, Transportation Research Part B, 123:199-223, 2019. (利用车流速度的时空演变对交通事故的发生时间和地点进行修正)
[19] Chen, R.† and H. Jiang*, “Capacitated Assortment and Price Optimization under the Multilevel Nested Logit Model”, Operations Research Letters, 47(1), 2019. (基于多层Nested Logit模型的有限资源下的商品品类及定价优化模型)
[18] Li, D.† and H. Jiang*, “On feature selection in network flow based traffic sign tracking models ”, Computers & Industrial Engineering, 127:657-664, 2019. (交通标志跟踪模型的特征选择)
[17] Li, D.†, C. Antoniou, Q. Xie, W. Shen, W. Han, and H. Jiang*, “The value of prepositioning in smartphone-based vanpool services under stochastic requests and time-dependent travel times”, Journal of the Transportation Research Board, 2673(2):26-37, 2019. (随机需求及随机时变旅行时间下“主动调度“策略在网约小巴运营中的价值)
[16] Wang, Z.†, X. Qi†, H. Jiang*, “Estimating the spatiotemporal impact of traffic incidents: An integer programming approach consistent with the propagation of shockwaves”, Transportation Research Part B, 111:356-369, 2018. (交通事故时空影响范围的整数规划模型:与冲击波理论一致的结果)
[15] Jin, W.†, Y. Deng, H. Jiang*, Q. Xie, W. Shen, W. Han, “Latent class analysis of accident risks in usage-based insurance: Evidence from Beijing”, Accident Analysis and Prevention, 115:79-88, 2018. (驾驶员驾驶风险的潜在类别建模:利用北京智驾盒子的结果)
[14] Yang, X.†, W. Jin†, H. Jiang*, Q. Xie, W. Shen, W. Han, “Car ownership policies in China: Residents' preferences and influence on the choice of electric cars”, Transport Policy, 58:62-71, 2017. (中国居民小汽车限购政策以及居民对电动汽车的偏好)
[13] Jiang, H.*, R. Chen†, and H. Sun†, “Multiproduct Price Optimization Under the Multilevel Nested Logit Model”, Annals of Operations Research, 254(1-2):131-164, 2017. (多层Nested Logit模型下的多产品价格优化模型) [PDF from RG] [PDF from SSRN]
[12] Chen, R.† and H. Jiang*, “Capacitated Assortment and Price Optimization for Customers with Disjoint Consideration Sets”, Operations Research Letters, 45(2):170-174, 2017. (有限资源下的商品品类及定价优化问题:基于MNLD的结果) [PDF全文]
[11] Zhang, Z.†, W. Jin†, H. Jiang*, Q. Xie, W. Shen, W. Han, “Modeling heterogeneous vehicle ownership in China: A case study based onthe Chinese national survey”, Transport Policy, 54:11-20, 2017. [download PDF](中国居民汽车保有量预测模型)
[10] Xie, S.† and H. Jiang*, “Increasing the capacity of signalized intersections by allocating exit lanes to turning movements”, Journal of Advanced Transportation, 50(8):2239-2265, 2016. [download PDF]
[9] Jiang, H.* and S. Chen†, “Dwelling unit choice in a condominium complex: Analysis of willingness to pay and preference heterogeneity”, Urban Studies, v. 53, n. 11, pp. 2273-2292, 2016. [download PDF](居民小区内的住宅选择:对支付意愿及偏好异质性的分析)
[8] Zhang, Z.†*, S. Parr, H. Jiang, B. Wolshon, “Optimization model for regional evacuation transportation system using macroscopic productivity function”, Transportation Research Part B, v. 81, n. 2, pp. 616-630, 2015. (基于宏观生产力函数的区域疏散模型)
[7] Jiang, H.*, X. Qi† and H. Sun†, “Choice-Based Recommender Systems: a Unified Approach to Achieving Relevancy and Diversity”, Operations Research,, v. 62, n. 5, pp. 973-993, 2014. [download PDF](基于选择的推荐系统:一个整合相关性和多样性的解决方案)
[6] Yan, C.†, H. Jiang* and S. Xie†, “Capacity optimization of an isolated intersection under the phase swap sorting strategy”, Transportation Research Part B, v. 60, pp. 85-106, 2014.[download PDF](相位交换策略下的路口通行能力优化模型)
[5] Zhang, Z.* and H. Jiang, “A robust counterpart approach to the bi-objective emergency medical service design problem”, Applied Mathematical Modelling, v.38, n. 3, pp. 1033-1040, 2014.
[4] Jin, W.†, S. Chen† and H. Jiang*, “Finding the K Shortest Paths in a Time-Schedule Network with Constraints on Arcs”, Computers & Operations Research, v. 40 n. 12, pp. 2975-2982, 2013 [download PDF](时刻表网络下的K最短路算法)
[3] Jiang, H.* and C. Barnhart, “Robust Airline Schedule De-Banking in a Dynamic Scheduling Environment”, Computers & Operations Research, vol. 40, n. 3, 2013.(动态航班调度环境下的鲁棒航班计划模型)
[2] Zhang, Z.*, H. Jiang and X. Pan, "A Lagrangian Relaxation Based Approach for the Capacitated Lot Sizing Problem in Closed-loop Supply Chain", International Journal of Production Economics, vol. 140, n. 1, 2012.(闭环供应链背景下产量有限的批量生产问题)
[1] Jiang, H.* and C. Barnhart, “Dynamic Airline Scheduling”, Transportation Science, v. 43, n. 3, pp. 336-354, 2009.(动态航班调度模型)
研究资助-企事业委托项目
■ 骑手骑行路线规划模型,美团,PI
■ 基于智驾盒子GPS数据的驾驶员风险评估模型,清华大学(苏州)汽车研究院,PI
■ 动态巴士调度算法,美国福特汽车公司,PI
■ 基于OpenXC车辆数据的驾驶行为分析,美国福特汽车公司,PI
■ 基于多数据源的路况预测模型,北京交通发展研究中心,PI
■ 基于浮动车GPS数据的北京市区路口延误测算,北京交通发展研究中心,PI
■ 中国不同地域小汽车保有量的预测,美国福特汽车公司,PI
■ 中国未来出行领域的研究调研,美国福特汽车公司,PI
■ 汽车共享在中国的市场前景,美国福特汽车公司,PI
■ 航线航班检测系统开发,中国民航科学技术研究院,PI
■ 基于低频浮动车数据的新路识别算法,高德地图,PI
■ 基于浮动车数据的路口信号灯周期与排队长度测算模型,北京交通发展研究中心,PI
■ 道路影像自动识别软件开发项目,高德地图,PI
■ 信号交叉口的通行模型研究,高德地图,PI
■ 基于断面流量的OD反推模型及流量检测断面选择方案研究,北京交通发展研究中心,PI
■ 酒店优化算法研究,去哪儿网,PI
■ 城市交通拥堵等级判断关键技术研究,中兴通讯股份有限公司,PI
■ 动态交通分析系统模型研究,中国航天系统工程公司,PI
■ 北京市交通路径选择模型研究,北京交通发展研究中心,PI
■ 高速甘特图可视化方法的开发,三菱重工,PI
■ 铁路旅客运输的收益管理模式研究,易程股份,PI
本科/研究生课程
■ 数据结构与算法设计(课号30160192,春季学期开课),【查看教学评估2015春】。
教材:Brassard, Gilles, and Paul Bratley. Fundamentals of algorithmics. Englewood Cliffs: Prentice Hall, 1996.
■ 交通系统分析(本科生课号:40160343)【查看教学评估2015春】
这门课主要讲授四个模块的内容:交通需求建模(Transportation Demand Modeling),交通网络分析(Transportation Network Analysis),交通系统优化(Transportation System Optimization),适合对交通工程感兴趣的三年级本科生(或有概率和统计基础的低年级本科生)和研究生选课。春季学期开课。内容选自:
1. Ben-Akiva, M. and S. Lerman, Discrete Choice Analysis: Theory and Application to Travel Demand, MIT Press, 1985
2. Sheffi, Y., Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods, Prentice-Hall, 1985
3. Larson, R. and A.R. Odoni, Urban Operations Research, Dynamic Ideas, 2007
■ 运筹学/定量分析方法(3或4学分)
为工程硕士/MEM等在职教育开的课程,比较科普,老少咸宜,适合对运筹学感兴趣的本科生和研究生选修,内容包括线性规划、整数规划、动态规划、排队论、网络模型、库存模型等,课业负担较轻。通常周三晚上上课。秋季学期开课。教材:熊伟,运筹学(第二版),机械工业出版社,2009
学生培养
■ 查看名单
推荐链接
■ iOptimize(爱优化)研究组
■ 我收集的一些资源
■ 摇摇公交-离线免流量的公交地铁查询应用
■ 清华校园实时公交
■ 清华大学民航数据网
所获奖励
■ 国家自然科学基金-优秀青年科学基金(“优青”)资助,2016
■ 清华大学第二批“标杆课程”(数据结构)【新闻】,2019
■ 清华大学精品课(数据结构),2019
■ 清华大学2017年度“教学优秀奖”【澎湃新闻】【新浪新闻】
■ 清华大学2013年度“青年教师教学优秀奖”,2014
■ 清华大学第32届“挑战杯”优秀指导教师,2014
■ 工业工程系科研工作优秀奖,2013
■ 清华大学大学生研究训练(SRT)优秀项目一等奖,2012
■ 第二届清华大学“落地北京”优秀项目,2012
■ 工业工程系本科生课程教学优秀奖(交通),2012
■ 工业工程系本科生课程教学优秀奖,2011
■ 工业工程系科研工作优秀奖,2011
■ 清华大学第29届“挑战杯”优秀指导教师,2011
■ 工业工程系研究生课程教学优秀奖,2010
■ CIO’s Special Award for Exceptional Performance, Sabre Holdings Corp., 2009
■ Anna Valicek Medal, AGIFORS, 2006
■ Alfred P. Sloan Foundation Fellowship, MIT Global Airline Industry Program, 2003-2006
■ Research Assistantship, Ford-MIT Alliance, 2001-2003
■ 茅以升科技教育奖学金,中国科协,2000
■ 清华大学第七届结构设计大奖赛专业组一等奖,2000
■ 清华大学第七届结构设计大奖赛专业组最佳结构分析奖,2000