2004-2008，西汉姆联官方网站，交通工程专业，学士学位；

2009-2011，西汉姆联官方网站，交通运输规划与管理专业，硕士学位；

2011-2014，名古屋大学（日本），城市环境专业，博士学位。

2023-至今，西汉姆联官方网站, bw必威西汉姆联官方网站, 教授, 西汉姆联官方网站交通工程系副主任, 西汉姆联官方网站应急交通研究中心副主任

2018-2020, 香港理工大学, CEE, 香江学者

2019, 名古屋大学 Institute of Materials and Systems for Sustainability (IMaSS)，特任准教授

2017-2023，西汉姆联官方网站, bw必威西汉姆联官方网站, 副教授、博导，城市智能交通省重点实验室秘书（曾任），交通工程研究所副所长（曾任），交通工程系副主任（现任）

2014-2017, 西汉姆联官方网站, bw必威西汉姆联官方网站, 讲师

2014，名古屋大学 Green Mobility Collaborative Research Center，博士后研究员

2013， Singapore-MIT Alliance for Research and Technology，研究助理 （合作导师： Moshe Ben-Akiva 教授，麻省理工公司）

2008-2009，内蒙古准格尔旗第一中学，支教志愿者

• 交通行为分析与政策评价

• AI+多模式交通系统建模与仿真

• 智慧出行服务

• 自动驾驶与自主式交通系统等

[1] 国家重点研发计划，交通载运装备与智能交通技术专项， 自主式交通系统运行及环境状态全息感知技术（指南 2.1）， 2022/12-2026/11， 3000 万元， 青年科学家课题“自主式交通系统超视距全息感知与信息传输共享技术” 负责人（负责经费 485 万元）；

[2] 国家自然科学基金项目（面上） ， MaaS 背景下考虑复杂异质性的路径选择建模与网络混合需求分配， 2020/01-2023/12， 50 万元，主持；

[3] 国家自然科学基金青年项目，考虑活动日程的多模式交通网络广义路径选择建模，2017/01-2019/12， 20 万元，主持；

[4] 江苏省自然基金项目，考虑全天活动链的多模式交通网络下路径选择建模研究，2015/07-2018/06， 20 万元，主持，结题，验收结果为“优秀”；

[5] 国家重点研发计划，综合交通运输与智能交通专项，城市多模式交通网运行仿真系统平台开发（指南 2.1）， 2020/02-2022/12， 2200 万元， 子课题负责人（负责经费 175 万元）；

[6] 国家重点研发计划，综合交通运输与智能交通专项，城市多模式交通供需平衡机理与仿真系统（指南 6.1）， 2019/02-2021/12， 2438 万元， 子课题负责人（负责经费 30 万元）；

[7] 国家自然科学基金国际合作与交流重点项目， 515110143，低碳化进程中城市多模式交通系统运营关键问题研究， 2015/09-2018/08， 300 万元，子课题负责人（负责经费 25万元）；

[8] 江苏省政策引导类计划（省重点研发系列，以色列国合项目） ，基于车路协同（V2X）的智慧移动即服务的公交优先系统联合研发， 2020/06-2022/06,100 万元， 技术负责人（企业牵头）。

[1]     贺崇琦,陈琼,李大韦,孙钰凯,朱雪铖. 一种车联网环境下考虑需求流向的交叉口信号滚动优化方法.专利号：ZL202410426510.9, 专利授权日：2025-02-07, 已授权

[2]     杨卫东,朱治邦,李大韦,周涛,刘锐鑫,白桦,王皖东,张桐,曹璐,范甬辰,齐超. 一种基于手机信令的综合交通分配方法.专利号：ZL202310541102.3, 专利授权日：2024-12-20, 已授权

[3]     李大韦,宋玉晨,杨敏,刘向龙. 路线生成方法、装置、计算机设备和存储介质.专利号：ZL202011015613.4, 专利授权日：2024-05-28, 已授权

[4]     李大韦,谭啸涛. 一种基于多种收费票制的公交客流OD推导方法.专利号：ZL202210380987.9, 专利授权日：2024-05-28, 已授权

[5]     李大韦,黄鸿飞,邵洁,贺崇琦,刘一平. 一种MaaS背景下考虑混合均衡的动态交通分配方法.专利号：ZL202310253968.4, 专利授权日：2024-03-01, 已授权

[6]     范东涛,朱治邦,李大韦,周涛,白桦,孙婧,刘一平,王皖东,刘秀彩. 面向省域的多模式链式交通分配方法.专利号：ZL202210242684.0, 专利授权日：2024-02-09, 已授权

[7]     李大韦,楼碧霞,陈诗嘉,任刚,白桦,马江山. 基于全链式空铁联程出行的个性化方案生成方法.专利号：ZL202111012909.5, 专利授权日：2024-11-29, 已授权

[8]     李大韦,陈诗嘉,楼碧霞,宋玉晨,朱治邦,白桦,周涛. 一种基于Nested Logit模型的全天多模式出行链的选择建模方法.专利号：ZL202111615033.3, 专利授权日：2024-11-22, 已授权

[9]     任刚,钱叠,杜建玮,张浩斐,吴辰旸,曹奇,凌小静,李大韦,李豪杰. 一种城市多模式公共交通网络冗余性评估方法.专利号：ZL202210799566.X, 专利授权日：2024-11-08, 已授权

[10]  李大韦,宋玉晨,刘东杰,贺崇琦,刘一平,叶正浩. 一种基于巢式动态离散选择的出行活动链生成方法. 专利号：ZL202210711903.5, 专利授权日：2024-12-27, 已授权

[11]  任刚,诸赛,邓玥,马景峰,曹奇,李大韦,吴辰旸,晁晓宁. 一种基于数据融合的车辆时空轨迹重构方法.专利号：ZL202210868085.X, 专利授权日：2023-08-25, 已授权

[12]  任刚,赵铁聪,宋建华,陈维翰,李大韦,李豪杰. 基于归一化谱聚类算法的城市快速路交通状态估计方法.专利号：ZL202210167107.X, 专利授权日：2023-02-14, 已授权

[13]  李大韦,楼碧霞,汤宇翔,陈诗嘉,宋玉晨一种实时预测驾驶员用车行为模式变化的方法.专利号：ZL202111623992.X, 专利授权日：2024-08-23, 已授权

[14]  李大韦,邱树荣,任刚,白桦,宋玉晨. 一种MaaS背景下考虑路径选择权的平台混合均衡定价方法.专利号：ZL 202210313442.6, 专利授权日：2023-10-27, 已授权

[15]  任刚,周平山,李豪杰,李大韦,张梦蝶,孙文婷. 考虑道路运行速度与交叉口交通状态的干线协调控制方法. 专利号：ZL202110697916.7, 专利授权日：2022-11-04，已授权.

[16]  李大韦,贺崇琦,宋玉晨,张韦华,任刚,杨敏. 车联网环境下考虑车内人数的交叉口信号优化控制方法. 专利号：ZL202110724407.9, 专利授权日：2022-08-05, 已授权.

[17]  任刚,海天睿,王亚琨,曹奇,李大韦. 基于多源数据的交通拥堵溯源方法. 专利号：ZL202110830406.2, 专利授权日：2022-07-01, 已授权.

[18]  李大韦,宋玉晨,邱树荣,任刚,杨敏,刘攀. 一种动态结构下考虑群体异质性的出行方式链选择方法. 专利号：ZL202110823723.1, 专利授权日：2022-06-17, 已授权.

[19]  任刚,马景峰,曹奇,杜建玮,李豪杰,李大韦,吴辰旸. 一种并行流交叉口的渠化设计优化方法. 专利号：ZL202110630703.2, 专利授权日：2022-06-10, 已授权.

[20]  任刚,丁晓澍,朱玉霖,李大韦,凌小静,顾克东. 一种基于多源数据的公交IC卡乘客下车站点推导方法. 专利号：ZL202010559560.6, 专利授权日：2022-04-29, 已授权.

[21]  张聪伟,杨敏,刘冬梅,李大韦,程龙. 基于RGB色彩空间与蒙特卡洛方法的城市公交指标计算方法. 专利号：ZL202110468086.0, 专利授权日：2022-03-11, 已授权.

[22]  李大韦,冯思齐,宋玉晨,任刚,杨敏,刘向龙. 基于非对称离散选择模型的路径选择方法. 专利号：ZL202110270914.X, 专利授权日：2021-11-09, 已授权.

[23]  任刚,马景峰,曹奇,李大韦,李豪杰,张洁斐,诸赛,钱叠. 一种连续流交叉口的渠化设计优化方法. 专利号：ZL202010919748.7, 专利授权日：2021-07-13, 已授权.

[24]  李大韦,宋玉晨,任刚,杨敏,刘向龙. 一种组合出行方式下考虑用户感知差异性的路径选择方法. 专利号：ZL202010513555.1, 专利授权日：2021-03-09, 已授权.

[25]  王哲源,杨敏,华雪东,杨桂新,徐铖铖,李大韦. 基于旅客出行多元数据分析的空铁联程中转地点确定方法. 专利号：ZL201911069463.2, 专利授权日：2020-12-29, 已授权.

[26]  王立超,杨敏,李斌,徐铖铖,李大韦. 高速公路常发性瓶颈路段协作车队冲突避险自主决策方法. 专利号：ZL201911115220.8, 专利授权日：2020-11-27, 已授权.

[27]  李大韦,汤宇翔,李成. 多个个体车辆使用行为短时预测的深度学习方法. 专利号：ZL201910457968.X, 专利授权日：2020-07-24, 已授权.

[28]  李大韦,武文通,李成. 一种基于网络承载力的电动公交网络可靠性评价方法. 专利号：ZL201911167071.X, 专利授权日：2020-07-24, 已授权.

[29]  李大韦,张雨嘉. 一种基于不完备人口信息的交通模式选择分析方法. 专利号：ZL 201911165903.4, 专利授权日：2020-06-26, 已授权.

[30]  李大韦,曹奇,任刚,武文通. 一种基于浮动车检测器数据的固定检测器数据匹配新算法. 专利号：ZL201811158230.5, 专利授权日：2020-04-21, 已授权.

[31]  程琳,马捷,李大韦. 一种考虑交通需求和道路网络运行效率的路段检测方法. 专利号：ZL201711128732.9, 专利授权日：2020-02-18, 已授权.

[32]  李大韦. 微博舆情交通事件监测分析软件[简称：舆情分析软件]V1.0. 2019SR0531639.

[33]  李大韦. 多模式交通系统仿真软件[简称：SimTrend]V1.0. 2020SR0352376.

[34]  李大韦,邵洁,宋玉晨. 基于多智能体的联程出行仿真平台V1.0. 2021SR1183879.

（1）  2024《多模式交通系统出行行为分析》，西汉姆联官方网站出版社，作者排名1/3，主编

（2）  2023《智能交通工程》，科学出版社，作者排名3/3，主编

（3）  2021《综合交通运输导论》，人民交通出版社，参编

（4）  2024《交通运输工程学（第3版）》，人民交通出版社，参编

[1]  Javeed, M. A., Li, D., & Ashraf, M. A. (2025). Urban city data delivery optimization in VNDN using a route-based caching approach with content-type awareness in intelligent transportation system. The Journal of Supercomputing, 81(6), 784.

[2]  Liu, D., Li, D., Gao, K., Song, Y., & Zhou, Z. (2025). Context-aware inverse reinforcement learning for modeling individuals’ daily activity schedules. Engineering Applications of Artificial Intelligence, 146, 110279.

[3]  Zhang, T., Li, D., Song, Y., Zhang, J., Yang, J., & Shi, Y. (2025). Activity capacity-based urban shrinkage trend prediction model and response strategy comparison approach. Transportation Research Part E: Logistics and Transportation Review, 194, 103929.

[4]  Zhang, T., Li, D., & Song, Y. (2025). Urban Rail Transit Congestion Management: Coordinated Optimization of Passenger Guidance and Train Scheduling with Skip-Stop Patterns. Journal of Transportation Engineering, Part A: Systems, 151(2), 04024101.

[5]  Song, Y., Li, D., Ma, Z., Zhang, T., Liu, D., & He, C. (2024). Dynamic Recursive Logit Model for Vehicle Driving Route Choices and Path Inference With Incomplete Fixed Location Sensor Data. IEEE Transactions on Intelligent Transportation Systems.

[6]  Liu, D., Li, D., Gao, K., Song, Y., & Zhang, T. (2024). Enhancing choice-set generation and route choice modeling with data-and knowledge-driven approach. Transportation Research Part C: Emerging Technologies, 162, 104618.

[7]  Song, Y., Li, D., Ma, Z., Liu, D., & Zhang, T. (2024). A state-based inverse reinforcement learning approach to model activity-travel choices behavior with reward function recovery. Transportation Research Part C: Emerging Technologies, 158, 104454.

[8]  Song, Y., Li, D., Liu, D., Cao, Q., Chen, J., Ren, G., & Tang, X. (2022). Modeling activity-travel behavior under a dynamic discrete choice framework with unobserved heterogeneity. Transportation research part E: logistics and transportation review, 167, 102914. 

[9]  Wang, J, Miwa, T, Ma, X, Li, D., & Morikawa, T. (2023). Recovering Real Demand for Free-Floating BikeSharing System Considering Demand Truncation Migration, and Spatial Correlation. IEEE Transactions on Intelligent Transportation Systems. Accepted.

[10] Liu, D., Li, D., Sze, N. N., Ding, H., & Song, Y. (2023). An integrated data-and theory-driven crash severity model. Accident Analysis & Prevention, 193, 107282.

[11] Cao, Q., Deng, Y., Ren, G., Liu, Y., Li, D., Song, Y., & Qu, X. (2023). Jointly estimating the most likely driving paths and destination locations with incomplete vehicular trajectory data. Transportation Research Part C: Emerging Technologies, 155, 104283.

[12] Jin, C. J., Shi, K. D., Jiang, R., Li, D., & Fang, S. (2023). Simulation of bi-directional pedestrian flow under high densities using a modified social force model. Chaos, Solitons & Fractals, 172, 113559.

[13]Li, D., Song, Y., Liu, D., Cao, Q., & Chen, J. (2023). How carpool drivers choose their passengers in Nanjing, China: effects of facial attractiveness and credit. Transportation, 50(3), 929-958.

[14]Li, D., Feng, S., Song, Y., Lai, X., & Bekhor, S. (2023). Asymmetric closed-form route choice models: Formulations and comparative applications. Transportation research part A: policy and practice, 171, 103627.

[15]Li, D., Dai, Q., Zhang, T., & Shi, X. (2023). Long-Term Individual Trip Pattern Prediction of Bus Passengers Using Smart Card Data: A Bayesian Method Based on Feature Selection.

[16]Chen, Q., Zhang, H., Song, Y., Huang, D., Li, D., & Wang, H. (2022). Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects. Journal of Advanced Transportation, 2022.

[17]Shi, X., Xue, S., Shiwakoti, N., Li, D., & Ye, Z. (2022). Examining the effects of exit layout designs on children pedestrians’ exit choice. Physica A: statistical mechanics and its applications, 602, 127654.

[18]Li, D., Al-Mahamda, M. F., Song, Y., Feng, S., & Sze, N. N. (2022). An alternate crash severity multicategory modeling approach with asymmetric property. Analytic methods in accident research, 35, 100218.

[19]Li, D., Liu, Y., Song, Y., Ye, Z., & Liu, D. (2022). A Framework for Assessing Resilience in Urban Mobility: Incorporating Impact of Ridesharing. International Journal of Environmental Research and Public Health, 19(17), 10801.

[20]梁顺利;李香红;李大韦;郑兰兰;宋晖颖. (2022) 疫情下安装共享电动车头盔消毒装置博弈. 交通科技与经济, 24(4), 23.

[21]Wang, Y., Ren, G., & Li, D. (2022). Activity-Travel Demand Modeling Based on Multi-Agent Simulation. In CICTP 2022 (pp. 1492-1502).

[22]李大韦;冯思齐;曹奇;宋玉晨;赖信君;任刚.(2021) 大数据背景下的路径选择行为建模，中国公路学报2021, 34(12): 161-174

[23]Song, Y., Li, D., Cao, Q., Yang, M., Ren, G. (2021) The whole day path planning problem incorporating mode chains modeling in the era of mobility as a service. Transportation Research Part C: Emerging Technologies 132, 103360.

[24]Li, D., Song, Y., Sze, N., Li, Y., Miwa, T., Yamamoto, T. (2021) An alternative closedform crash severity model with the non-identical, heavy-tailed, and asymmetric properties. Accident Analysis & Prevention 158, 106192.

[25]Ma, J., Li, D., Tu, Q., Du, M., Jiang, J. (2021) Finding optimal reconstruction plans for separating trucks and passenger vehicles systems at urban intersections considering environmental impacts. Sustainable Cities and Society 70, 102888.

[26]Yuan, Y., Yang, M., Feng, T., Rasouli, S., Li, D., Ruan, X. (2021) Heterogeneity in passenger satisfaction with air-rail integration services: Results of a finite mixture partial least squares model. Transportation Research Part A: Policy and Practice 147, 133-158.

[27]Jin, C.-J., Jiang, R., Liu, T., Li, D., Wang, H., Liu, X. (2021) Pedestrian dynamics with different corridor widths: Investigation on a series of uni-directional and bi-directional experiments. Physica A: Statistical Mechanics and its Applications 581, 126229.

[28]Shi, X., Xue, S., Feliciani, C., Shiwakoti, N., Lin, J., Li, D., Ye, Z. (2021) Verifying the applicability of a pedestrian simulation model to reproduce the effect of exit design on egress flow under normal and emergency conditions. Physica A: Statistical Mechanics and its Applications 562, 125347.

[29]Jin, C.-J., Shi, X., Hui, T., Li, D., Ma, K. (2021) The automatic detection of pedestrians under the high-density conditions by deep learning techniques. Journal of advanced transportation 2021.

[30]Xue, S., Shi, X., Jiang, R., Feliciani, C., Liu, Y., Shiwakoti, N., Li, D. (2021) Incentivebased experiments to characterize pedestrians’ evacuation behaviors under limited visibility. Safety Science 133, 105013.

[31]Cao, Q., Ren, G., Li, D., Li, H., Ma, J. (2021) Map Matching for Sparse Automatic Vehicle Identification Data. IEEE Transactions on Intelligent Transportation Systems.

[32]Li, D., Yang, M., Jin, C.-J., Ren, G., Liu, X., Liu, H. (2020) Multi-Modal Combined Route Choice Modeling in the MaaS Age Considering Generalized Path Overlapping Problem. IEEE Transactions on Intelligent Transportation Systems 22, 2430-2441.

[33]Li, D., Al-Mahamda, M.F. (2020) Collective risk ranking of highway segments on the basis of severity-weighted crash rates. Journal of advanced transportation 2020.

[34]Cao, Q., Ren, G., Li, D., Ma, J., Li, H. (2020) Semi-supervised route choice modeling with sparse Automatic vehicle identification data. Transportation Research Part C: Emerging Technologies 121, 102857.

[35] Li, D., Jin, C.-j., Yang, M., Chen, A. (2020) Incorporating multi-level taste heterogeneity in route choice modeling: From disaggregated behavior analysis to aggregated network loading. Travel Behaviour and Society 19, 36-44.

[36]Jin, C.-J., Jiang, R., Li, D.-W. (2020) Influence of bottleneck on single-file pedestrian flow: Findings from two experiments. Chinese Physics B 29, 088902.

[37]Li, D., Miwa, T., Xu, C., Li, Z. (2019) Non-linear fixed and multi-level random effects of origin–destination specific attributes on route choice behaviour. IET Intelligent Transport Systems 13, 654-660.

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[40]Jin, C.-J., Jiang, R., Li, R., Li, D. (2019) Single-file pedestrian flow experiments under high-density conditions. Physica A: Statistical Mechanics and its Applications 531, 121718.

[41]Tu, Q., Cheng, L., Li, D., Ma, J., Sun, C. (2019) Traffic paradox under different equilibrium conditions considering elastic demand. Promet-Traffic&Transportation 31, 1-9.

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[43]Jin, C.-J., Jiang, R., Wei, W., Li, D., Guo, N. (2018) Microscopic events under high-density condition in uni-directional pedestrian flow experiment. Physica A: Statistical Mechanics and its Applications 506, 237-247.

[44]Lou, X., Cheng, L., Li, D., Zhu, S., Zhou, J. (2018) Modeling Day-to-Day Dynamics of Travelers’ Risky Route Choices under the Influence of Predictive Traffic Information. Transp. Res. Record 2672, 12-23.

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（1）中国公路学会科学技术奖一等奖（2022 年度，排1/15）

（2）江苏省科学技术奖二等奖（2022 年度，排2/11）

（3）中国交通运输协会科学技术奖一等奖（2021 年度，排5/15），多方式联程智慧出行服务关键技术与系统平台

（4）江苏省综合交通运输学会科学技术奖一等奖（2023 年度，排2/10），基于机器学习的区域综合交通客运一体化模型

（5）钱学森城市学金奖（2024 年度，排3/3），智能交通工程:从状态感知到机理认知

（6）2022 国家级教学成果二等奖（排15/16）

（7）2022 江苏省教学成果奖特等奖（排15/16）

（8）2021 西汉姆联官方网站教学成果奖特等奖（排15/16）

本科生课程：

1.交通工程基础

2.交通行为分析基础

3.交通经济学(全英文)

研究生课程：

1.交通科技论文写作指导(交通系统优化类)

2.数据分析与建模

[1] 中国交通教育研究会高教研究分会理事，2020

[2] 中国公路学会自动驾驶工作委员会委员，2019

[3] 世界交通运输大会（WTC）

 交通感知与大数据学科主席，2024

 交通工程学部秘书，2019

 多模式交通网络规划技术委员会主席，2019

 面向未来的城市综合交通系统技术委员会主席，2017

[4] 交通运输工程学报（英文版）青年学术编辑,2020

[5] 交通运输部公交都市建设示范工程验收专家，2019

[6] 腾讯“犀牛鸟精英人才培养计划”专家组成员，2019

[7] 《Frontier in Built Environment》,审稿编辑，2022

[8] 江苏省智慧低空飞行管服重点实验室，学术委员会成员

[9] Social Sciences & Humanities Open，编委会成员

[10]《青年科学与工程》青年编委

[11] Digital Transportation and Safety，青年编委

[12] 名古屋大学(日本)，(IMaSS)，客座准教授(短期)

智慧交通、低空交通、智慧港口、智慧城市、交能融合等方面的硕博研究生、博士后。特别是具有交叉学科背景（计算机、信息、机械、自动化、电气等）的同学。联系方式：lidawei@seu.edu.cn