李想
李想，2008年畢業(yè)于清華大學(xué)獲得運(yùn)籌學(xué)與控制論專業(yè)博士學(xué)位，現(xiàn)任偉德國際1946bv官網(wǎng)教授/博導(dǎo)；入選“國家青拔”“國家優(yōu)青”“教育部新世紀(jì)優(yōu)秀人才”“斯坦福全球前2%頂尖科學(xué)家”；現(xiàn)任International Journal of General Systems (SCI) 主編、Omega (SCI/SSCI) 副主編、Transportmetrica B (SCI/SSCI) 副主編、Computers & Operations Research (SCI) 編委、《運(yùn)籌與管理》編委、《系統(tǒng)工程學(xué)報(bào)》編委、中國管理科學(xué)與工程學(xué)會(huì)理事、中國優(yōu)選法統(tǒng)籌法與經(jīng)濟(jì)數(shù)學(xué)研究會(huì)理事、中國運(yùn)籌學(xué)會(huì)理事、中國優(yōu)選法統(tǒng)籌法與經(jīng)濟(jì)數(shù)學(xué)研究會(huì)船海經(jīng)濟(jì)管理分會(huì)副理事長、中國運(yùn)籌學(xué)會(huì)不確定系統(tǒng)分會(huì)副理事長等。
研究方向包括數(shù)據(jù)驅(qū)動(dòng)決策、數(shù)智交通管理、智慧物流管理等。出版英文專著2部，在SCI/SSCI期刊發(fā)表論文150余篇，在FMS-T1中文期刊發(fā)表論文10余篇；榮獲省部級(jí)科技獎(jiǎng)勵(lì)9項(xiàng)、國家級(jí)行業(yè)協(xié)會(huì)獎(jiǎng)勵(lì)5項(xiàng)；主持國家自然科學(xué)基金重點(diǎn)項(xiàng)目3項(xiàng)；授權(quán)國內(nèi)外專利37項(xiàng)；登記軟件著作權(quán)10項(xiàng)。
地 址：偉德國際1946bv官網(wǎng)
郵 編：100081
E-mail: 6120240105@bit.edu.cn
歡迎數(shù)理基礎(chǔ)扎實(shí)的同學(xué)報(bào)考碩士、博士研究生
主持科研項(xiàng)目
[1] 國家自然科學(xué)基金重點(diǎn)國際（地區(qū)）合作研究項(xiàng)目：“地鐵+”格局下城市區(qū)域交通運(yùn)營管理理論與方法，No. W2411066，200萬，2025-2029
[2] 國家自然科學(xué)基金鐵路創(chuàng)新發(fā)展聯(lián)合基金項(xiàng)目：煤炭綠色運(yùn)輸組織優(yōu)化理論與評(píng)價(jià)方法，No. U2469202，200萬，2025-2028
[3] 國家自然科學(xué)基金重點(diǎn)項(xiàng)目：共享交通方式的運(yùn)營管理理論與方法，No. 71931001，240萬，2020-2024
[4] 國家萬人計(jì)劃青年拔尖人才計(jì)劃項(xiàng)目：大數(shù)據(jù)驅(qū)動(dòng)的城市交通協(xié)同決策方法及應(yīng)用，50萬，2021-2024
[5] 北京市科技新星計(jì)劃交叉合作項(xiàng)目：網(wǎng)約車運(yùn)營群體事件的數(shù)智化治理，No. 20230484421，50萬，2023-2025
[6] 國家自然科學(xué)基金優(yōu)青項(xiàng)目：地鐵節(jié)能管理，No. 71722007，130萬，2018-2020
[7] 國家自然科學(xué)基金面上項(xiàng)目：城市軌道交通節(jié)能型列車運(yùn)行計(jì)劃集成優(yōu)化方法，No. 71371027，57.5萬，2014-2017
[8] 國家自然科學(xué)基金青年項(xiàng)目：基于隨機(jī)優(yōu)化理論的列車節(jié)能操縱問題研究，No. 71101007，20萬，2012-2014
[9] 教育部新世紀(jì)優(yōu)秀人才支持計(jì)劃項(xiàng)目：城市軌道交通節(jié)能型運(yùn)營管理，No. NCET-13-0649 ，20萬
[10] 北京市科技新星計(jì)劃項(xiàng)目：北京市軌道交通節(jié)能駕駛輔助系統(tǒng)關(guān)鍵算法研究，No. Z14111000180000，35萬
學(xué)術(shù)專著
[1] Li X, Credibilistic Programming, Springer-Verlag, New York, 2013.
[2] Li X, and Yang X, Subway Energy-Efficient Management, Springer-Verlag, 2020.
部分論文
[1] Zhao YW, Feng ZY, and Li X, Transfer-based customized bus network design with holding control and heterogeneous fleet, IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2024.3498315
[2] Chen L, Dong T, Li X, and Xu XF, Logistics engineering management in the platform supply chain: An overview from logistics service strategy selection perspective, Engineering, DOI: 10.1016/j.eng.2024.12.032
[3] Ma HG, Yang RC, and Li X, Delivery routing for a mixed fleet of conventional and electric vehicles with road restrictions, International Journal of Production Research, DOI: 10.1080/00207543.2024.2324054
[4] Li X, and Ge JY, Wild goose chase or not? Equilibrium in a hybrid ride-hailing market, Transport Policy, Vol.160, 73-88, 2025
[5] Zhou C, Li X, and Feng B, Build or cooperate with a bike-sharing system? Operation mode selection of metro operator with different information sharing strategies, Omega, Vol.133, 103263, 2024
[6] Li Y, Zhao RQ, Li X, and Choi TM, Fine-tuning of AI managers' logic in a supply chain with competing retailers, Decision Sciences, Vol.55, No.6, 639-652, 2024
[7] Li X, Zhao YW, and Feng ZY, Customized bus service design with holding control and heterogeneous fleet: A column-generation-based decomposition algorithm, IEEE Transactions on Intelligent Transportation Systems, Vol.25, No.12, 19563-19580, 2024
[8] Xu XF, Lin ZR, Li X, Yi WL, and Witold Pedrycz, Flexible districting policy for the multiperiod emergency resource allocation problem with demand priority, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol.54, No.11, 6977-6988, 2024
[9] Feng ZY, Li X, Wu JJ, and Chang XM, Transport capacity optimization for high-speed rail network considering flexible train composition and additional capacity pool, Information Sciences, Vol.680, 121175, 2024
[10] Nie FP, Li X, and Zhou C, Impact of privacy regulation involving information collection on the ride-hailing market, Omega, Vol.126, 103077, 2024
[11] Li X, Chen N, Ma HG, Nie FP, and Wang XZ, A parallel genetic algorithm with variable neighborhood search for the vehicle routing problem in forest fire-fighting, IEEE Transactions on Intelligent Transportation Systems, Vol.25, No.10, 14359-14375, 2024
[12] Liu Y, Qin ZF, and Li X, Are the queueing systems in practice random or uncertain? Evidence from online car-hailing data in Beijing, Fuzzy Optimization and Decision Making, Vol.23, 497-511, 2024
[13] Li X, An XJ, and Zhang BW, Minimizing passenger waiting time in the multi-route bus fleet allocation problem through distributionally robust optimization and reinforcement learning, Computers & Operations Research, Vol.164, 106568, 2024
[14] Li X, Wang XZ, and Feng ZY, Dynamic repositioning in bike-sharing systems with uncertain demand: An improved rolling horizon framework, Omega, Vol.126, 103047, 2024
[15] Zhang BW, Li X, and Francisco Saldanha-da-Gama, Dealing with congestion in the optimization of locating single-server battery swapping stations, Information Sciences, Vol.666, 120426, 2024
[16] Zhang SC, Li X, Yuan X, Liu JM, Peng JL, and Li DM, Optimising the flight turnaround schedules: an improved sliding time windows approach based on MILP and CP models, Computers & Operations Research, Vol.171, 106433, 2024
[17] Hu H, Li X, Ha MH, Wang XS, Shang CJ, and Shen Q, Multi-depot vehicle routing programming for hazmat transportation with weight variation risk, Transportmetrica B: Transport Dynamics, Vol.11, No.1, 1136-1160, 2023
[18] Zhou C, Li X, and Chen LJ, Modelling the effects of metro and bike-sharing cooperation: Cost-sharing mode vs information-sharing mode, International Journal of Production Economics, Vol.261, 108842, 2023
[19] Zhou C, Li X, and Chen LJ, Impact of negotiation on subsidy scheme to incentivize the integrated use of metro and ride-hailing services, International Journal of Logistics Research and Applications, Vol.27, No.10, 1870-1890, 2023
[20] Li X, Pan ZH, Ma HG, and Zhang BW, Neural network-based subway regenerative energy optimization with variable headway constraints, IEEE Transactions on Intelligent Transportation Systems, Vol.24, No.9, 9698-9711, 2023
[21] Yang M, Ma HG, Li X, Shang CJ, and Shen Q, Bus bridging for rail disruptions: A distributionally robust fuzzy optimization approach, IEEE Transactions on Fuzzy Systems, Vol.31, No.2, 500-510, 2023
[22] Zhang Y, Li X, and Ma HG, Can ride-hailing platforms be immune to dual-fairness concerns? IEEE Transactions on Engineering Management, Vol.70, No.3, 1124-1146, 2023.
[23] Xu XF, Lin ZR, Li X, Shang CJ, and Shen Q, Multi-objective robust optimization model for MDVRPLS in re?ned oil distribution, International Journal of Production Research, Vol.60, No.22, 6772-6792, 2022.
[24] Chen ZH, Lan YF, Li X, and Shang CJ, Quality management by warranty contract under dual asymmetric information, IEEE Transactions on Engineering Management, Vol.69, No.4, 1022-1036, 2022.
[25] Wang J, Wang K, Li X, and Zhao RQ, Suppliers’ trade credit strategies with transparent credit ratings: Null, exclusive, and nonchalant provision, European Journal of Operational Research, Vol.297, No.1, 153-163, 2022.
[26] Huang ZH, Wang DJ, Yin YQ, and Li X, A spatiotemporal bidirectional attention based ride-hailing demand prediction model: A case study in Beijing during COVID-19, IEEE Transactions on Intelligent Transportation Systems, Vol.23, No.12, 25115-25126, 2022.
[27] Li X, Yang M, Ma HG, and Yu KT, Data-driven bus timetabling with spatial-temporal travel time, Industrial Management & Data Systems, Vol.122, No.10, 2281-2298, 2022.
[28] Zhang BW, Li X, and Francisco Saldanha-da-Gama, Free-floating bike-sharing systems: New repositioning rules, optimization models and solution algorithms, Information Sciences, Vol.600, 239-262, 2022.
[29] Zhang SC, Zhao XY, Li X, and Yu HT, Heterogeneous fleet management for one-way electric carsharing system with optional orders, vehicle relocation and on-demand recharging, Computers and Operations Research, Vol.145, 105868, 2022.
[30] Ma HG, Yang M, and Li X, Integrated optimization of customized bus routes and timetables with consideration of holding control, Computers & Industrial Engineering, Vol.175, 108886, 2022.
[31] Li X, Fan HY, Liu JM, and Xun QF, Staff scheduling in blood collection problems, Annals of Operations Research, Vol.316, 365-400, 2022.
[32] Li X, Zhang TY, Wang L, Ma HG, and Zhao XD, A minimax regret model for the leader-follower facility location problem, Annals of Operations Research, Vol.309, 861-882, 2022.
[33] Du JM, Zhou JD, Li X, Li L, and Guo A, Integrated self-driving travel scheme planning, International Journal of Production Economics, Vol.232, 107963, 2021.
[34] Li X, Zhang BW, and Liu YN, A little bit flexibility on headway distribution is enough: Data-driven optimization of subway regenerative energy, Information Sciences, Vol.554, 276-296, 2021.
[35] Li YN, Li X, and Zhang SC, Optimal pricing of customised bus services and ride-sharing based on a competitive game model, Omega, Vol.103, 102413, 2021.
[36] Zhou JD, Li X, Zhao XD, and Wang L, Driving performance grading and analytics: Learning internal indicators and external factors from multi-source data, Industrial Management & Data Systems, Vol.121, No.12, 2530-2570, 2021.
[37] Zhang Y, Li X, Wang L, Zhao XD, and Gao JW, Financing capital-constrained third party logistic firms: fourth party logistic driven financing mode vs. private lending driven financing mode, International Journal of Production Research, Vol. 60, No. 9, 2963-2982, 2021.
[38] Hu H, Du JM, Li X, Shang CJ, and Shen Q, Risk models for hazardous material transportation subject to weight variation considerations, IEEE Transactions on Fuzzy Systems, Vol.29, No.8, 2271-2281, 2021.
[39] Zhang SC, Li X, Zhang BW, and Wang SY, Multi-objective optimisation in ?exible assembly job shop scheduling using a distributed ant colony system, European Journal of Operational Research, Vol.283, No.2, 441-460, 2020.
[40] Ding PQ, Zhao ZY, and Li X, Government subsidies in the power battery recycling industry, Industrial Management & Data Systems, Vol.120, No.6, 1059-1083, 2020.
[41] Zhang W, Li X, Li J, Yang Y, and Yoshida T, A two-stage rating prediction approach based on matrix clustering on implicit information, IEEE Transactions on Computational Social Systems, Vol.7, No.2, 517-535, 2020.
[42] Ma HG, Li X, and Yu HT, Single bus line timetable optimization with big data: A case study in Beijing, Information Sciences, Vol.536, 53-66, 2020.
[43] Li X, Liu XX, Ma HG, and Hu ST, Integrated routing optimization for post-disaster rapid-detailed need assessment, International Journal of General Systems, Vol.49, No.5, 521-545, 2020.
[44] Jiang B, Lio WC, and Li X, An uncertain DEA model for scale efficiency evaluation, IEEE Transactions on Fuzzy Systems, Vol.27, No.8, 1616-1624, 2019.
[45] Fan J, Yu LA, Li X, Shang CJ, and Ha MH, Reliable location allocation for hazardous materials, Information Sciences, Vol.501, 688-707, 2019.
[46] Bai XJ, Li X, Jia RR, and Liu YK, A distributionally robust credibilistic optimization method for the economic-environmental-energy-social sustainability problem, Information Sciences, Vol.501, 1-18, 2019.
[47] Hu H, Li X, Zhang YY, Shang CJ, and Zhang SC, Multi-objective location-routing model for hazardous material logistics with traffic restriction constraint in inter-city roads, Computers & Industrial Engineering, Vol.128, 861-876, 2019.
[48] Yang H, Li X, and Yang X, Mean-variance model for timetable optimization in urban rail transit systems, Journal of Rail and Rapid Transit, Vol.232, No.4, 1005-1020, 2018.
[49] Su S, Tang T, and Li X, Driving strategy optimization for trains in subway systems, Journal of Rail and Rapid Transit, Vol.232, No.2, 369-383, 2018.
[50] Ma HG, and Li X, Closed-loop supply chain network design for hazardous products with uncertain demands and returns, Applied Soft Computing, Vol.62, 889-899, 2018.
[51] Guo SN, Li X, Ching WK, Dan R, Li WK, and Zhang ZW, GPS trajectory data segmentation based on probabilistic logic, International Journal of Approximate Reasoning, Vol.103, 227-247, 2018
[52] Du JM, Li X, Yu LA, and Ralescu D, Multi-depot vehicle routing problem for hazardous materials transportation: A fuzzy bilevel programming, Information Sciences, Vol.399, 201-218, 2017.
[53] Yang X, Li X, Ning B, and Tang T, A survey on energy-efficient train operation for urban rail transit, IEEE Transactions on Intelligent Transportation Systems, Vol.17, No.1, 2-13, 2016.
[54] Du JM, Yu LA, and Li X, Fuzzy multi-objective chance-constrained programming model for hazardous materials transportation, International Journal of General Systems, Vol.45, No.3, 286-310, 2016.
[55] Li X, Zhou JD, and Zhao XD, Travel itinerary problem, Transportation Research Part B, Vol.91, 332-343, 2016.
[56] Guo SN, Yu LA, and Li X, Fuzzy multi-period portfolio selection with different investment horizons,European Journal of Operational Research, Vol.254, 1026-1035, 2016.
[57] Zhou JD, Li X, and Pedrycz W, Mean-semi-entropy models of fuzzy portfolio selection, IEEE Transactions on Fuzzy Systems, Vol.24, No.6, 1627-1636, 2016.
[58] Li X, Guo SN, and Yu LA, Skewness of fuzzy numbers and its applications in portfolio selection, IEEE Transactions on Fuzzy Systems, Vol.23, No.6, 2135-2143, 2015.
[59] Li X, A numerical-integration-based simulation algorithm for expected values of strictly monotone functions of ordinary fuzzy variables, IEEE Transactions on Fuzzy Systems, Vol.23, No.4, 964-972, 2015.
[60] Yang X, Chen A, Li X, Ning B, and Tang T, An energy-efficient scheduling approach to improve the utilization of regenerative energy for metro rail systems, Transportation Research Part C, Vol.57, 13-29, 2015.
[61] Wei MY, Li X, and Yu LA, Time-dependent fuzzy random location-scheduling programming for hazardous materials transportation, Transportation Research Part C, Vol.57, 146-165, 2015.
[62] Wei MY, Yu LA, and Li X, Credibilistic location-routing model for hazardous materials transportation, International Journal of Intelligent Systems, Vol.30, 23-39, 2015.
[63] Yang X, Li X, Ning B, and Tang T, An optimization method for train scheduling with minimum energy consumption and travel time in metro rail system, Transportmetrica B: Transport Dynamics, Vol.3, No.2, 79-98, 2015.
[64] Xu X, Li K, and Li X, Research on passenger flow and energy consumption in a subway system with fuzzy passenger arrival rates, Journal of Rail and Rapid Transit, Vol.229, No.8, 863-874, 2015.
[65] Li X, and Lo Hong K, Energy minimization in dynamic train scheduling and control for metro rail operations, Transportation Research Part B, Vol.70, 269-284, 2014.
[66] Li X, and Lo Hong K, An energy-efficient scheduling and speed control approach for metro rail operations, Transportation Research Part B, Vol.64, 73-89, 2014.
[67] Li X, Shou B, and Dan R, Train rescheduling with stochastic recovery time: A new track-backup approach, IEEE Transactions on Systems, Man, and Cybernetics-Part A, Vol.44, No.9, 1216-1233, 2014.
[68] Su S, Tang T, Li X, and Gao Z, Optimization of multitrain operations in a subway system, IEEE Transactions on Intelligent Transportation Systems, Vol.15, No.2, 673-684, 2014.
[69] Yang X, Ning B, Li X, and Tang T, A two-objective timetable optimization model in subway systems, IEEE Transactions on Intelligent Transportation Systems, Vol.15, No.5, 1913-1921, 2014.
[70] Zhang X, and Li X, A semantic study of the first-order predicate logic with uncertainty involved, Fuzzy Optimization and Decision Making, Vol.13, 357-367, 2014.
[71] Yang X, Li X, Gao Z, Wang H, and Tang T, A cooperative scheduling model for timetable optimization in subway systems, IEEE Transactions on Intelligent Transportation Systems, Vol.14, No.1, 438-447, 2013.
[72] Su S, Li X, Tang T, and Gao Z, A subway train timetable optimization approach based on energy-efficient operation strategy, IEEE Transactions on Intelligent Transportation Systems, Vol.14, No.2, 883-893, 2013.
[73] Li X, Wang D, Li K, and Gao Z, A green train scheduling model and fuzzy multi-objective optimization algorithm, Applied Mathematical Modelling, Vol.37, 2063-2073, 2013.
[74] Li X, Wong HS, and Wu S, A fuzzy minimax clustering model and its applications, Information Sciences, Vol.186, 114-125, 2012.
[75] Li X, Shou BY, and Qin ZF, An expected regret minimization portfolio selection model, European Journal of Operational Research, Vol.218, 484-492, 2012.
[76] Yao K, and Li X, Uncertain alternating renewal process and its application, IEEE Transactions on Fuzzy Systems, Vol.20, No.6, 1154-1160, 2012.
[77] Li X, Qin Z, Yang L, and Li K, Entropy maximization model for trip distribution problem with fuzzy and random parameters, Journal of Computational and Applied Mathematics, Vol. 235, 1906-1913, 2011.
[78] Li X, Qin Z, and Kar S, Mean-variance-skewness model for portfolio selection with fuzzy returns, European Journal of Operational Research, Vol.202, 239-247, 2010.
[79] Li X, and Liu B, Foundation of credibilistic logic, Fuzzy Optimization and Decision Making, Vol.8, No.1, 91-102, 2009.
[80] Qin Z, Li X, and Ji X, Portfolio selection based on fuzzy cross-entropy, Journal of Computational and Applied Mathematics, Vol.228, 139-149, 2009.
[81] Li X, Zhang Y, Wong SH, and Qin Z, A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns, Journal of Computational and Applied Mathematics, Vol.233, No.2, 264-278, 2009.
[82] Li X, and Wong SH, Logic optimality for multi-objective optimization, Applied Mathematics and Computation, Vol.215, 3045-3056, 2009.
[83] Li X, and Liu B, A sufficient and necessary condition for credibility measures, International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, Vol.14, No.5, 527-535, 2006.
[84] 李想，聶發(fā)鵬，張藝，競(jìng)爭(zhēng)環(huán)境下考慮長短途乘客的巡游車定價(jià)策略，管理科學(xué)學(xué)報(bào)，28(01), 17-28, 2025
[85] 馮紫嫣，李想，昌錫銘，吳建軍，基于時(shí)空需求預(yù)測(cè)的共享單車動(dòng)態(tài)搬運(yùn)與回收優(yōu)化研究，系統(tǒng)工程理論與實(shí)踐，2024.
[86] 李想，李亞男，馬紅光，考慮乘客效用的多元化共享出行平臺(tái)協(xié)同定價(jià)策略研究，中國管理科學(xué)，32(7), 172-180, 2024
[87] 李想，蔡曉越，孫珂，基于排隊(duì)博弈的網(wǎng)約車信息披露策略與服務(wù)模式選擇研究，系統(tǒng)工程理論與實(shí)踐，43(5), 1465-1483, 2023.
[88] 楊薈，周建棟，李想，基于節(jié)能的地鐵時(shí)刻表隨機(jī)機(jī)會(huì)約束規(guī)劃模型，系統(tǒng)工程學(xué)報(bào)，33(02), 197-211, 2018
部分專利
[1] 一種數(shù)據(jù)驅(qū)動(dòng)的交通樞紐到達(dá)客流量分解-集成預(yù)測(cè)方法，2023-12-16
專利號(hào)：CN202310452587.9；發(fā)明人：李想，金坤
[2] 基于大數(shù)據(jù)的無樁共享單車運(yùn)營調(diào)度策略優(yōu)化方法及系統(tǒng)，2023-7-11
專利號(hào)：CN202111048893.3；發(fā)明人：李想，張博文
[3] 一種獲得城市交通集成傳感設(shè)施的鋪設(shè)最優(yōu)方案的方法，2023-2-3
專利號(hào)：CN202211012278.1；發(fā)明人：李想，路靖雯，易鶴
[4] 公交線路車輛排班計(jì)劃兩階段生成方法及程序產(chǎn)品，2022-04-20
專利號(hào)：CN202210416977.6；發(fā)明人：李想，代聰聰，馬紅光
[5] 多車型定制公交運(yùn)營優(yōu)化方法，2022-09-02
專利號(hào)：CN202211069012.0；發(fā)明人：李想，趙雨薇，馮紫嫣
[6] 一種基于混合智能算法的地鐵安全防撞時(shí)刻表優(yōu)化方法，2022-05-12
專利號(hào)：CN202210514180.X；發(fā)明人：李想，潘兆華，馬紅光，張博文
[7] 一種混合能源車隊(duì)配送路徑優(yōu)化方法，2023-06-15
專利號(hào)：CN202310715834.X；發(fā)明人：楊榮超，馬紅光，李想，趙龍霄
[8] 一種訂單指派與車輛路徑優(yōu)化方法、裝置及設(shè)備，2022-09-14
專利號(hào)：CN202211114476.9；發(fā)明人：李想，楊明，馬紅光，趙雨薇，陳楠
[9] 一種基于深度學(xué)習(xí)樞紐網(wǎng)約車需求預(yù)測(cè)與調(diào)度一體化方法，2023-08-21
專利號(hào)：CN202311053741.1；發(fā)明人：李想，金坤，馮紫嫣，馬紅光
[10] 一種基于拉格朗日松弛算法的雙層車輛路徑規(guī)劃方法，2024-04-15
專利號(hào)：CN202410451388.0；發(fā)明人：李想，寧蓉，馮紫嫣，馬紅光
[11] 一種面向交通樞紐到達(dá)客流疏散的多出行模式組合調(diào)度方法，2021-03-05
專利號(hào)：CN202110244774.9；發(fā)明人：李想，田勝男，馬紅光，于海濤
[12] 一種數(shù)據(jù)驅(qū)動(dòng)的城市交通流速模式識(shí)別與實(shí)時(shí)預(yù)測(cè)預(yù)警方法，2021-03-05
專利號(hào)：CN202110244773.4；發(fā)明人：李想，桂佼，馬紅光，劉佳明，于海濤
[13] 一種基于自適應(yīng)鄰域搜索算法的共享單車搬運(yùn)優(yōu)化方法，2021-03-12
專利號(hào)：CN202110289562.2；發(fā)明人：李想，張博文，于海濤，張思成，肖冉東
[14] 基于全程車與區(qū)間車組合調(diào)度的公交線路串車優(yōu)化方法，2020-12-15
專利號(hào)：CN202011472683.2；發(fā)明人：李想，于海濤，馬紅光，肖冉東，田勝男，杜勇
[15] 一種基于大數(shù)據(jù)的地面公交固定線路時(shí)刻表的優(yōu)化方法，2018-09-11
專利號(hào)：CN201811055557.X；發(fā)明人：于海濤，李想，趙翰毅，肖冉東，杜勇，呂衛(wèi)鋒
[16] 一種平均等待時(shí)間可控的電動(dòng)汽車換電站選址優(yōu)化方法，2022-08-15
專利號(hào)：CN202210974374.8；發(fā)明人：李想，張博文，于海濤，鐘園，肖冉東
[17] 一種網(wǎng)約車需求模式識(shí)別與短時(shí)需求預(yù)測(cè)方法，2023-02-24
專利號(hào)：CN202310159395.9；發(fā)明人：李想，陳楠，馮紫嫣，金坤，于海濤，鐘園
[18] 基于站臺(tái)冗余的列車運(yùn)行圖調(diào)整方法和系統(tǒng)，2015-07-01
專利號(hào)：CN201310096001.6；發(fā)明人：李想，李克平，楊立興
[19] 危險(xiǎn)化學(xué)品運(yùn)輸?shù)哪：p層優(yōu)化方法，2015-05-24
專利號(hào)：CN201510268940.3；發(fā)明人：杜皎幔，李想，余樂安
[20] 一種基于變權(quán)風(fēng)險(xiǎn)的危險(xiǎn)化學(xué)品多倉庫車輛路徑優(yōu)化方法，2020-11-17
專利號(hào)：CN202011284543.2；發(fā)明人：李想，胡皓，哈明虎，王小勝
[21] 一種危化品多車型運(yùn)輸?shù)陌腴_放式車輛路徑優(yōu)化方法，2019-12-18
專利號(hào)：CN201911309655.6；發(fā)明人：馬紅光，李想，周仲鑫，哈明虎
[22] 一種危化品園區(qū)泄露事故的應(yīng)急人員疏散路線設(shè)計(jì)方法，2023-05-18
專利號(hào)：CN202310564758.7；發(fā)明人：李想，馮紫嫣，林明奇，郭亮亮
[23] 一種裝載滅火彈的森林消防救援車輛路徑優(yōu)化方法，2022-08-23
專利號(hào)：CN202211017322.8；發(fā)明人：李想，陳楠，胡松濤，聶發(fā)鵬
[24] 面向森林防火的空地一體化救援車輛路徑優(yōu)化方法，2023-03-14
專利號(hào)：CN202310265831.0；發(fā)明人：胡松濤，李想，張博文，陳楠，豐學(xué)友
[25] 森林防火預(yù)警通訊設(shè)備的鋪設(shè)方案確定方法，2022-05-18
專利號(hào)：CN202210543114.5；發(fā)明人：李想，路靖雯，易鶴，胡松濤，任爽，馬紅光
科研獎(jiǎng)勵(lì)
[1] 教育部自然科學(xué)獎(jiǎng)二等獎(jiǎng)（2022）：危化品道路運(yùn)輸風(fēng)險(xiǎn)防控理論與方法，排名第一
[2] 教育部人文社科獎(jiǎng)三等獎(jiǎng)（2019）：An energy-efficient scheduling and speed control approach for metro rail operations，排名第一
[3] 教育部自然科學(xué)獎(jiǎng)一等獎(jiǎng)（2019）：大城市復(fù)雜交通流特性分析及管控策略研究
[4] 河北省自然科學(xué)獎(jiǎng)二等獎(jiǎng)（2018）：不確定信息簡(jiǎn)約理論與參數(shù)可信性優(yōu)化方法
[5] 北京市科學(xué)技術(shù)獎(jiǎng)二等獎(jiǎng)（2017）：城市公共交通精細(xì)化運(yùn)營組織與精準(zhǔn)化信息服務(wù)關(guān)鍵技術(shù)與應(yīng)用
[6] 教育部自然科學(xué)獎(jiǎng)一等獎(jiǎng)（2015）：列車運(yùn)行組織優(yōu)化理論與方法
[7] 教育部霍英東青年教師獎(jiǎng)三等獎(jiǎng)（2014）
主編教材
[1] 李想，徐小峰，張博文，運(yùn)籌學(xué)教程，科學(xué)出版社，2022
[2] 李想，優(yōu)化與預(yù)測(cè)，清華大學(xué)出版社，2024
