当前位置: X-MOL首页全球导师 国内导师 › 刘丹

个人简介

教育背景 博士,管理科学与工程,西北工业大学,2009-2013 工作经历 研究助理教授,佛罗里达大西洋大学,2019.11-2021.08 博士后,佛罗里达大西洋大学,2019.01-2019.11 访问学者,华盛顿大学,2016.12-2018.12 副教授,长安大学,2016.12-2021.03 讲师,长安大学,2013.07-2016.12 联合培养博士,代尔夫特理工大学,2010.09-2011.09 主持项目 1.Modeling a Cooperative Location-routing Problem under Multi-echelon Supply Chain Disruption Risk,Freight Mobility Research Institute,2020, 10(共同主持). 2.Integrate Autonomous Delivery Vehicle into Sustainable Urban Logistics Planning and Optimization: Economic and Environmental Evaluation,Freight Mobility Research Institute,2019, 9 (共同主持). 3. Evaluation of Truck Tonnage Estimation Methodologies, 佛罗里达交通局, 2019 (共同主持). 4. 超网络视角下复杂货运系统建模及机器学习-最优化混合方法(61806021),国家自然科学基金青年项目, 2018, 3. 5.超网络视角下复杂货运网络的设计与优化 (15YJCZH093),教育部人文社会科学研究青年项目,2015, 3. 6. 低碳视角下区域多式联运网络设计与优化(2020Z358), 陕西省社科界重大理论与现实问题研究项目, 2020, 3. 7.一带一路背景下我省货运网络规划研究—以中欧班列为例(2018Z158),陕西省社科界重大理论与现实问题研究项目, 2018, 3. 8.陕西省进出口货物多式联运运输方式选择为研究——以丝绸之路例(2014P08),陕西省社会科学基金项目,2014, 8. 10.考虑服务运营商路径选择的同步多式联运网络优化—以中欧班列为例, 中央高校基本科研业务费专项基础研究(重点), 2017, 12. 11.低碳视角下多式联运网络设计与优化, 中央高校基本科研业务费专项资金项目(激励), 2016, 12. 13.可持续多式联运网络组织优化设计研究,中央高校基本科研业务费专项资金项目(激励), 2014, 12. 14.基于时间价值的多式联运运输方式选择研究——以丝绸之路为例,中央高校基本科研业务费专项资金项目(青年) ,2014, 12. 著作教材 1.丝绸之路经济带国际运输通道研究,西安交通大学,2016,负责第五章 “多式联运通道的组织优化”. 2.欧亚经济论坛发展报告, 西安交通大学, 2015, 负责V 互联互通合作发展中 “一带一路”, 运输通道多式联运组织优化. 荣誉 1.陕西高等学校科学技术奖二等奖,陕西省教育厅, 2020,排名第8 2.陕西省交通运输科学技术奖,陕西省公路学会,2019,三等奖

研究领域

人工智能与无人驾驶配送、多式联运及韧性城市物流、时空数据分析与关键运输通道识别、危险品运输与停车管理

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Liu, D., Kaisar, E., Yang,Y., Yan P., Physical Internet-enabled E-grocery Delivery Network: A Load-dependent Two- echelon Vehicle Routing Problem with Mixed Vehicles. International Journal of Production Economics. In press. Dan Liu, Hao (Frank) Yang, Xinhua Mao, Vasileia Antonoglou, Evangelos I. Kaisar. New Mobility-assist E-grocery Delivery Network: A Load-dependent Two-echelon Vehicle Routing Problem with Mixed Vehicles. Transportation Research Record, 2022. Yangyang, Kun Wang, Zhenzhou Yuan, Dan Liu. Predicting Freeway Traffic Crash Severity Using XGBoost-Bayesian Network Model with Consideration of Features Interaction. Journal of Advanced Transportation. 2022. Liu, D., Deng, Z., Kaisar, E. I., Multi-objective Optimization of Van-robots E-grocery Delivery with Hybrid Artificial Immune Algorithm.Transportation Research Part E: Logistics and Transportation Review. 2021, 154, 102466. Liu, D., Deng, Z., Zhang W., Wang Y., Kaisar, E. I., Design of Sustainable Urban Electronic Grocery Distribution Network.Alexandria Engineering Journal, 2020,7:145-157. Liu, D., Yan P., Deng, Z., Wang Y. Kaisar, E. I., Collaborative Intermodal Freight Transport Network Design and Vehicle Arrangement with Applications in the Oil and Gas Drilling Equipment Industry. Transportmetrica A: Transport Science. 2020, 16:1574–1603. Liu, D., Deng, Z., Wang, Z. Wang, Y., Kaisar, E. I., Method for Identifying Truck Traffic Site Clustering Using Weigh-in-Motion (WIM) Data. IEEE ACCESS.2020, 6. Xu, J., Deng, Z., Song, Q., Chi, Q, Wu, T., Huang,Y., Liu, D., Gao, M., Multi-UAV counter-game model based on uncertain information. Applied Mathematics and Computation, 2020. Liu, D., Hu, B., Ding, Z., Kaisarb, E. I., Method of Group Decision Making with Interval Grey Numbers based on Grey Correlation and Relative Close Degree. Journal Tehnički vjesnik/Technical Gazette, 2020,27:1579-1584. Liu, D., Deng, Z., Mao, X., Yang, Y., Kaisar, E. I., Two-echelon Vehicle Routing Problem: Optimization of Autonomous Delivery Vehicle Assisted E-Grocery Distribution. IEEE ACCESS, 2020, 6. Liu, D., Deng, Z., Sun Q., Wang Y., Wang Y., Design and Freight Corridor-Fleet Size Choice in Collaborative Intermodal Transportation Network Considering Economies of Scale. Sustainability. 11:990. Mao, X., Yuan, C., Liu, D., Resilience-based Optimization of Post-disaster Restoration Strategy for Road Networks. Journal of Advanced Transportation. 2020. Deng, Z., Zhang, T., Liu, D., Jing, X., Li, Z. A High-Precision Collaborative Control Algorithm for Multi-Agent System Based on Enhanced Depth Image Fusion Positioning. IEEE ACCESS, 2020, 6. Deng, Z., Huang,Y., Gu, Z., Liu, D., Gao, L., Multi-games on interdependent networks and the evolution of cooperation. Physica A: Statistical Mechanics and its Applications, 2018. Deng, Z., Huang,Y., Gu, Z., Liu, D., Gao, L., Multi games with voluntary participation on interdependent networks and the evolution of cooperation. Chaos, Solitons & Fractals.2018. Tabassum, Anika, Liu, Dan, Kaisar, Evangelos I. An Optimization Model for Determining Optimal Fleet Size for a Robot-sharing System, ASCE International Conference on Transportation & Development, 2021. Goulianou, P., Charisis, A., Liu, D., Kaisar, E. I., and Golias, M. M., Intermodal Freight Network Design Model Considering Emission Levels and Time Constraints. Presented at 99th Annual Meeting of the Transportation Research Board, Washington, D.C., January, 2020. Ardalan, T., Liu, D., Kaisar, E. I., Zhong M., Tabatabaee F., Truck Tonnage Estimation Using Weigh-In-Motion and AADT Data. Prensented at 99th Annual Meeting of the Transportation Research Board, Washington, D.C., January, 2020. Liu, D., Tabassum A., Zhang W., Kaisar, E. I., Optimizing Last-mile Delivery by Integrating Autonomous Delivery Vehicle: Impact of Customer Density. Chinese Overseas Transportation Association International Conference, Xi’an, China, Aug. 2021, accepted. Yuting Deng, Xinyu Feng, Dan Liu, Weibin Zhang. Nonlinear Kalman Filter methods for predicting ship encounter situations in terms of near miss collision risk. Chinese Overseas Transportation Association International Conference, Xi’an, China, De. 2021, accepted. Liu, D., Nota Goulianou, Yangfan Zhang, Evangelos I. Kaisar. Autonomous Delivery Vehicle in Urban E-Grocery Delivery: A Two-Echelon Vehicle Routing Problem. International Conference on Information Systems, Logistics & Supply Chain, Austin, Texas, April, 2020. 刘丹, 蒲自源, 许晓晴, 伍佳妮. 基于机器学习-优化混合算法的离散交通网络双层规划模型, 系统工程, 2018. 刘丹,赵嵩正. 可持续多式联运网络设计的多目标优化模型及算法. 系统工程, 2015. 刘丹, 赵嵩正, 刘静. 基于规模经济的多式联运网络成本最优模型的研究. 计算机工程与应用, 2014. 蒋维杨,赵嵩正,刘丹,王莉芳. 大样本评价的定量指标无量纲化方法. 统计与决策, 2012. Liu, D., Zhao, S., Liu, J. The impact of value of time on Mode choice of freight intermodal transport. The 6th IEEE International Conference on Management of Information and Technology. Sanur Bali, Indonesia, 2012. Liu, D., Zhao, S., Jiang, W., An Optimization Framework for Evaluating Freight Transport Mode in Global Supply Chain: Insight from China. Proceedings of the 2012 Second International Conference on Electric Information and Control Engineering. 2012, 2:225- 229. Liu, D., Zhao S., Jiang W., An Empirical Study for Green Supply Chain Management: Relationship between Collaboration and Extended Supply Chain Performance, 2010 International Conference on Management and Service Science. Wuhan, China, 2010. Liu, D., Zhao, S. Value-added Service of Venture Capital Facing Supply Chain Management. International Conference on Engineering and Business Management. 2010. 会议及参会报告 Liu, D., Vasileia Antonoglou, and Kaisar, E. I., Optimization of a Robot-sharing Last-mile Delivery Network: A Dynamic Fleet Assignment Model. Submitted at 101st Annual Meeting of the Transportation Research Board, Washington, D.C., January 2022. Tabassum A., Liu, D., and Kaisar, E. I., New Mobility-assisted E-grocery Delivery Network: A Load-depended Two-echelon Vehicle Routing Problem with Mixed Vehicles. Submitted at 101st Annual Meeting of the Transportation Research Board, Washington, D.C., January 2022. Liu, D., Tabassum A., and Kaisar, E. I., Hybrid Artificial Immune Algorithm for Optimizing a Van-Robot E-grocery Delivery System. The Institute for Operations Research and the Presented at Management Sciences (INFORMS) Annual Meeting, Virtual Conference, October 2021. Liu, D., Tabassum A., and Kaisar, E. I., Hybrid Artificial Immune Algorithm for Optimizing a Van-Robot E-grocery Delivery System. To be presented at 9th International Urban Freight Conference, October 2021 (I-NUF). Liu, D., Ardalan, T., Kaisar, E. I., Zhong, M. Mapping of Truck Tonnage in Florida Using Weigh-in-Motion Data. Submitted to National Travel Monitoring Exposition and Conference (NaTMEC), June 2021. Liu, D., Tabassum A., Zhang W., Kaisar, E. I., Optimizing Last-mile Delivery by Integrating Autonomous Delivery Vehicle: Impact of Customer Density. Chinese Overseas Transportation Association International Conference, Xi’an, China, Aug. 2021. Tabassum A., Liu, D., Kaisar, E. I., An Optimization Model for Determining Optimal Fleet Size for a Robot-sharing System. To be presented at the International Conference on Transportation & Development, June 2021. Liu, D., Tabassum A., Kaisar, E. I.. Autonomous Delivery Vehicle in Urban E-Grocery Delivery: A Two-tier Vehicle Routing Problem. 7th International Physical Internet Conference. Shenzhen, November, 2020. Liu, D., Kaisar, E. I., Modeling A Cooperative Multi Echelon Supply Chain Network Under Disruption Risk. To be present at The Institute for Operations Research and the Presented at Management Sciences (INFORMS) Annual Meeting, Virtual Conference, November, 2020. Tabassum A., Liu, D., Kaisar, E. I.. A Multi-periodic Optimization Based Model for Determining Optimal Fleet Size for a Robot-sharing System. To be present at The Institute for Operations Research and the Presented at Management Sciences (INFORMS) Annual Meeting, Virtual Conference, November, 2020. Tabassum A., Liu, D., Kaisar, E. I.. A Multi-periodic Optimization Based Model for Determining Optimal Fleet Size for a Robot-sharing System. 4th VREF Conference on Urban Freight, Sweden, October, 2020. Liu, D., Kaisar, E. I.. Autonomous Delivery Vehicle in Urban E-Grocery Delivery: A Two-Echelon Vehicle Routing Problem. The 23nd IEEE International Conference on Intelligent Transportation Systems, Rhodes, GR, September, 2020. Liu, D., Kaisar, E. I., Applying Deep Learning for Autonomous Delivery Vehicle-assisted Last-mile Distribution: From Estimation to Optimization, presented at 7th Annual UTC Conference, Boca Raton, Florida, September, 2020. Liu, D. Mapping of Truck Tonnage in Florida Using Weigh-in-Motion Data. Presented at FAU-ITE student chapter event, Boca Raton, Florida, Jun 2020, Webinar. Goulianou, P., Charisis, A., Liu, D., Kaisar, E. I., and Golias, M. M., Intermodal Freight Network Design Model Considering Emission Levels and Time Constraints. Presented at 99th Annual Meeting of the Transportation Research Board, Washington, D.C., January, 2020. Ardalan, T., Liu, D., Kaisar, E. I., Zhong M., Tabatabaee F., Truck Tonnage Estimation Using Weigh-In-Motion and AADT Data. Presented at 99th Annual Meeting of the Transportation Research Board, Washington, D.C., January, 2020. Liu, D., Tabassum A., Kaisar, E. I., Integration of Autonomous Delivery Vehicle in Sustainable Urban E-Grocery Distribution Network. Presented at The Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting, Seattle, October 2019. Liu, D. The Florida Automated Vehicles (FAV) Summit, Miami, September 2019. Liu, D., Ardalan, T., Kaisar, E. I., Evaluation of Truck Tonnage Estimation Methodologies Florida's Mobility Measures Program (MMP), Florida Department of Transportation, Tallahassee, FL, September 2019. Liu, D., Ardalan, T., Kaisar, E. I., Mapping of Truck Tonnage in Florida Using Weigh-in-Motion Data. Presented at FIU-ITE student chapter event, Miami, September 2019. Ardalan, T., Liu, D., Kaisar, E. I., Mathematical Model for Estimating Truck Tonnage. Presented at Freight Mobility Advisory Board, University of Memphis, TN., May, 2019. Liu, D., Tavasszy L. Freight transport demand modeling: an introduction. The Asian Logistics Round Table (ALRT) Conference, Antwerp, Belgium. 11/12 /2010. 邀请报告 1.Vehicle Routing Planning, Data Sources and ITS. Presented at FAU-ITE student chapter event, Boca Raton, Florida. Feb 2021. 2.Mapping of Truck Tonnage in Florida Using Weigh-in-Motion Data. Presented at FAU-ITE student chapter event, Boca Raton, Florida. Jun 2020, Webinar. 3.Mapping of Truck Tonnage in Florida Using Weigh-in-Motion Data. Presented at FIU-ITE student chapter event, Miami, Florida. September 2019. 4.Evaluation of Truck Tonnage Estimation Methodologies, Florida Department of Transportation, Tallahassee, Florida, September 2019. 5.Sustainable Freight Network Design: Hybrid Approaches, Data Sources and ITS. Presented at FAU-ITE student chapter event, Boca Raton, Florida. September 2019.

学术兼职

学术会员 Standing Committee of Economic Development and Land Use (AMS50), Transportation Research Board Member of The Institute for Operations Research and the Management Sciences (INFORMS) Member of Women Transportation Studies (WTS) Member of American society of Civil Engineers (ASCE) 期刊审稿 Transportation Research Part E: Logistics and Transportation Review IEEE transactions on intelligent transportation systems International Journal of Production Economics Journal of Advanced Transportation Transportmetrica A: Transport Science IEEE Access Journal of Cleaner Production Applied Science Sustainability TRB Annual Meeting IEEE Intelligent Transportation Systems Conference (ITSC) 7th Annual UTC Conference

推荐链接
down
wechat
bug