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张文波,现为东南大学交通学院讲师、硕导、至善青年学者,入选江苏省双创计划,美国普渡大学土木工程哲学博士学位(交通工程方向),主要从事交通大数据、交通管理与控制、智慧出行、智能交通系统等方面的研究,主讲交通大数据、数据分析与建模、交通行为分析等课程。现为世界交通大会(WTC)交通大数据运用委员会委员、智能与自动交通系统委员会委员。主持国家及省部级以上基金项目3项,交通大数据相关协作课题6项;参与各类省部级以上重大研究项目5项。在国内外高水平学术期刊和会议上发表论文20余篇,受理国家发明专利5项。担任Nature Communications、 IEEE Transaction on Cybernetics, IEEE TITS, Transportation Research Part B、C, IEEE ITSC等期刊的审稿人。出版《交通大数据 – 理论与方法》教材1部,获江苏省高等学校十三五重点教材、中国高等教育学会工程教育专业委员会新工科教材。多次参与交通大数据相关课程建设,江苏省留学生精品课程建设1门、校级全英文精品课程建设2门。
国家自然科学基金青年基金 考虑运营效率和交通影响的出租车路内停靠设施配置方法 52002064 (24万)
主持,项目负责人:张文波 1/2021-12/2023
江苏省科协调研课题 数字经济下城市多模式交通线网融合及居民出行模式变迁 JSKXKT2020031
主持,项目负责人:张文波 5/2020-11/2020
教育部人文社科青年基金项目 共享经济下大城市网络预约出租车供给行为及投放量研究 20YJC630216 (8万)
主持,项目负责人:张文波 3/2020-9/2022
华设设计集团开放课题 城市营运小客运精准执法大数据分析技术研究 (20万)
联合主持,项目负责人:王亚东、张文波 2021/9-2022/8
浙江海康智联外协合作课题 可变公交专用车道设置与控制关键技术 (20万)
主持,项目负责人:张文波 1/2021-8/2021
华设设计集团外协合作课题 基于大数据的车辆超限行为治理关键技术 (20万)
主持,项目负责人:张文波 4/2021-12/2021
中设设计集团开放课题 城市客运交通数据挖掘及融合应用研究 (30万)
联合主持,项目负责人:刘志远、张文波 3/2020-9/2021
中设设计集团外协合作课题 路网交通事件预警系统 (20万)
主持,项目负责人:张文波 12/2019-3/2020
中国交通建设集团重点科技研发项目 雄安新区绿色智能交通建设运营关键技术研究与示范 (2000万)
参与人,项目负责人:王岳平 10/2019-9/2022
华为公司科研攻关项目 信息化环境下交通网络动态承载能力分析 YBN2019085098(110万)
联合主持,项目负责人:刘志远、张文波 9/2019-10/2020
江苏省科技厅重点研发计划【省支撑计划(社会发展)】 城市重大活动交通运行的公共安全事件风险辨识与防控 BE2019713(50万)
参与人,项目负责人:陆建 7/2019-6/2022
南京留学人员科技创新项目拟择优资助项目 大城市电动无人驾驶出租车投放量研究 (3万)
主持,项目负责人:张文波 9/2019-6/2021
科技部国家重点研发计划 城市多模式交通供需平衡机理与仿真系统 2018YFB1600905 (2800万)
参与人,项目负责人:刘攀 1/2019-2/2021
1.Zhang, W.(张文波), and Xu, C. Exploring App-Based Taxi Movement Patterns from Large-scale Geolocation Data. ISPRS International Journal of Geo-Information. 2021.
2.Wang, Y., Zhang, W. (张文波)*, Tang, T., Wang, D., Liu, Z. Bus OD Matrix Reconstruction Based on Clustering Wi-Fi Probe Data. Transportmetrica B. http://dx.doi.org/10.1080/21680566.2021.1956388 (3.030)
3.Zhang, W.(张文波), and Ukkusuri, S.V. Share-a-cab: Scalable Clustering Taxi Group Ride Stand from Huge Geolocation data. IEEE Access. 2021 https://doi.org/10.1109/ACCESS.2021.3050299 (3.367)
4.熊文磊,王升,张文波*,刘志远,贾若. 基于时空特征提取和深度学习的出行需求预测模型. 武汉理工大学学报. 2021
5.Yuan, Y., Zhang, W.(张文波)*, Liu, Y., Liu, Z.*, Wang, W. Traffic state classification and prediction based on trajectory data. Journal of Intelligent Transportation Systems. 2021 https://doi.org/10.1080/15472450.2021.1955210
6.Zhang, W.(张文波), Xi, Y., and Ukkusuri, S.V. Understanding Spatiotemporal Variations of Ridership by Multiple Taxi Services. ISPRS International Journal of Geo-Information, 9(12), 2020. DOI: https://doi.org/10.3390/ijgi9120757. (2.899)
7.Chen, E., Zhang, W.(张文波), Ye, Z.*, and Yang, M. Unraveling Latent Transfer Patterns between Metro and Bus from Large-scale Smart Card Data. IEEE Transactions on Intelligent Transportation Systems. 2020. DOI: https://doi.org/10.1109/TITS.2020.303571
8.Huang, D., Gu, Y., Wang, S., Liu, Z., and Zhang, W.(张文波) A two-phase optimization model for the demand-responsive customized bus network design. Transportation Research Part C: Emerging Technologies, Vol. 111, pp. 1-21. 2020. DOI: https://doi.org/10.1016/j.trc.2019.12.004
9.Qian, X., Kumar, D., Zhang, W.(张文波), and Ukkusuri, S.V.* Understanding the operational dynamics of Mobility Service Providers: A case of Uber. ACM Transactions on Spatial Algorithms and Systems. 2019. DOI: https://doi.org/10.1145/3378888
10.Liu, Y., Lyu, C., Anish, K., Zhang, W.(张文波), and Liu, Z.* Spatio-temporal Ensemble Method for Car-Hailing Demand Prediction. IEEE Transactions on Intelligent Transportation Systems. 2019. DOI: https://doi.org/10.1109/TITS.2019.2948790
11.Chen, E., Ye, Z.*, Wang, C., and Zhang, W.(张文波). Discovering the spatiotemporal impacts of built environment on metro ridership using smart card data. Cities. 2019. DOI: https://doi.org/10.1016/j.cities.2019.05.028
12.Zhang, W.(张文波), Honnappa, H., and Ukkusuri, S.V.*. Modeling urban taxi service with e-hailings: a queueing networks approach. Transportation Research Part C. 113, 2020. DOI: https://doi.org/10.1016/j.trc.2019.05.036 (8.089)
13.Zhang, W.(张文波), Le, T., Ukkusuri, S.V.*, and Li, R. Influencing factors and heterogeneity in ridership of traditional and app based taxi systems. Transportation. 47, 2020. DOI: https://doi.org/10.1007/s11116-018-9931-2
14.Zhang, W.(张文波), Ukkusuri, S.V.*, and Yang, C. Modeling the Taxi Drivers’ Customer-Searching Behaviors outside Downtown Areas. Sustainability, 10(9). 2018. DOI: https://doi.org/10.3390/su10093003
15.Qian, X., Zhang, W.(张文波), Ukkusuri, S.V.*, and Yang, C. Optimal Assignment and Incentive Design in the Taxi Group Ride Problem. Transportation Research Part B, 103, 208-226. 2017. DOI: http://dx.doi.org/10.1016/j.trb.2017.03.001
16.Zhang, W.(张文波), Ukkusuri, S.V.*, and Lu, J.J.. Impacts of urban built environment on empty taxi trips using limited geolocation data. Transportation, 44(6), 1445-1473, 2017. DOI: http://dx.doi.org/10.1007/s11116-016-9709-3
17.Zhang, W.(张文波), Ukkusuri, S.V.*. Optimal Fleet Size and Fare Setting in Emerging Taxi Markets with Stochastic Demand. Computer-Aided Civil and Infrastructure Engineering, 31(9), 2016: 647-660. DOI: http://dx.doi.org/10.1111/mice.12203
18.Lu Li, Yuan Zhang, Wenbo Zhang, Zhiyuan Liu. GATC and DeepCut: Deep Spatiotemporal Feature Extraction and Clustering for Large-scale Transportation Network Partition. 101th Annual Meeting of Transportation Research Board
19.Wu, X., Zhang, W.(张文波), Liu, Z., Wang, M. QUANTIFY THE LINK PERFORMANCE AND CAPACITY WITH DEEP LEARNING AND BPR FUNCTION. In the 100th Annual Meeting of Transportation Research Board, Washington D.C., 2021.
20.Lu, L., Zhang, W.(张文波), Bao, J., Ukkusuri, S.V. Influencing factors for Right Turn Lane Crash Frequency from Multi-source Datasets. In the 99th Annual Meeting of Transportation Research Board, Washington D.C., 2020.
21.Zhang, W.(张文波), and Ukkusuri, S.V.* Flexible Supply of App-based Taxi Services: Modeling the Driver Partners' Platform-Exiting Behaviors. IEEE ITSC 2019.
22.Zhang, W.(张文波), Honnappa, H., and Ukkusuri, S.V.* Modeling urban taxi service with e-hailings: a queueing networks approach. In The 23nd International Symposium on Transportation and Traffic Theory (ISTTT23), Lausanne, Switzerland, July 2019 (acceptance rate 20%, 48 out of more than 250 papers)
23.Zhang, W.(张文波), Kumar, D., and Ukkusuri, S.V.* Exploring the dynamics of surge pricing in mobility-on-demand taxi services. In 2017 IEEE International Conference on Big Data, Boston, USA, 2017. (acceptance rate 20%, 87 out of 437 received papers)
| § 博士研究生 | 8/2013-12/2018 |
| 美国普渡大学土木工程系交通运输与基础设施系统方向 导师:Dr. Satish Ukkusuri 博士选题:Modeling emerging app-based taxi services: interactions of demand and supply | |
| § 硕士研究生 | 9/2010-5/2013 |
| 东南大学交通学院交通运输与工程 导师: 陆键教授 硕士选题:干线公路中央分隔带开口类型选择及合理间距的研究 | |
| § 本科 | 9/2006-6/2010 |
| 中国矿业大学矿业工程学院交通运输系 辅修专业:工商管理 | |
| § 硕士研究生导师 | 4/2021-至今 |
| 东南大学交通学院交通工程系 | |
| § 讲师/助理教授 | 2/2019-至今 |
| 东南大学交通学院交通工程系 复杂交通网络研究中心 | |
| § 访问学者 | 5/2017-7/2017 |
| 瑞士洛桑联邦理工 合作导师: Dr. Nikolas Geroliminis | |
§ 本科生
城市规划原理A (3学分, 2019秋,2020秋)
交通大数据挖掘技术 (在线开放课程, 2019夏 录制)
交通大数据 (3学分, 2021 春)
行为分析 (3学分, 2021 春)
§ 研究生
交通运输工程专业案例 (3学分, 2019 秋, 2020秋)
数据分析与建模 (3学分, 2020春, 2021春)
Nature Communications
IEEETransactions on Intelligent Transportation System
IEEEIntelligent Transportation System Magazine
IEEETransactions on Cybernetics
TransportationResearch Part B
TransportationResearch Part C
IET IntelligentTransport Systems
Journal ofTransport Geography
TransportmetricaA
TransportationResearch Record
ISTTT24
IEEE ITSC
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