1.      国家重点研发计划，2022YFC2305100，新发突发传染病多点触发预警体系及关键技术的研发和示范应用，2022/12-2025/11，2995万元，参与，在研。

2.      国家自然科学基金面上项目，62172169，残缺多源轨迹大数据的挖掘方法与移动性建模研究，2022/01-2025/12。60万元，主持，在研。

3.      国家青年科学基金，61202303，基于移动网络挖掘的多维群体行为模型研究，2013/01-2015/12。23万元，主持，已结题。

4.      国家科技重大专项，2012ZX03001035，基于用户体验的端到端3G-LTE业务质量评测与分析系统，2013/1-2015/6。171.8万元，主持，已结题。

5.      国家科技支撑计划，2012BAH46F03，数字音乐网络传播运营云服务系统的关键技术与标准规范研究，2012/11-2015/12。95万元，主持，已结题。

6.      国家科技重大专项，2010ZX01003-002-02，TD-SCDMA增强型网络优化系统研发-子课题，2010/1-2011/12。48万元，主持，已结题。

1.国家重点研发计划，2022YFC2305100，新发突发传染病多点触发预警体系及关键技术的研发和示范应用，2022/12-2025/11，2995万元，参与，在研。

2.国家自然科学基金面上项目，62172169，残缺多源轨迹大数据的挖掘方法与移动性建模研究，2022/01-2025/12。60万元，主持，在研。

3.国家青年科学基金，61202303，基于移动网络挖掘的多维群体行为模型研究，2013/01-2015/12。23万元，主持，已结题。

4.国家科技重大专项，2012ZX03001035，基于用户体验的端到端3G-LTE业务质量评测与分析系统，2013/1-2015/6。171.8万元，主持，已结题。

5.国家科技支撑计划，2012BAH46F03，数字音乐网络传播运营云服务系统的关键技术与标准规范研究，2012/11-2015/12。95万元，主持，已结题。

6.国家科技重大专项，2010ZX01003-002-02，TD-SCDMA增强型网络优化系统研发-子课题，2010/1-2011/12。48万元，主持，已结题。

7.中国博士后科学基金项目，20070420911，基于移动终端合群运动特性的网络优化研究，2007/12-2009/12。2万元，主持，已结题。

 专著：

王芙蓉, 涂来. 群特征无线移动网络组织理论与技术(专著). 科学技术出版社,2011年5月.

期刊论文：

[1]          TuLai; Wang Shuai; Zhang Desheng; Zhang Fan; He Tian; ViFi-MobiScanner:Observe Human Mobility via Vehicular Internet Service, IEEE Transactions onIntelligent Transportation Systems, vol. 22, no. 1, pp. 280–292, Jan. 2021.

[2]          Zhao,Yangming; Liu, Xin; Tu, Lai; Tian, Chen; Qiao, Chunming; Dynamic ServiceEntity Placement for Latency Sensitive Applications in Transportation Systems, IEEETransactions on Mobile Computing, vol. 20, no. 2, pp. 460–472, Feb. 2021.

[3]          J.Zhang, D. Shen, L. Tu and et al.,“A Real-Time Passenger Flow Estimation and Prediction Method for Urban BusTransit Systems,” IEEE Transactions on Intelligent Transportation Systems,vol. 18, no. 11, pp. 3168–3178, Nov. 2017.

[4]          J.Zhao, F. Zhang, L. Tu and et al.,“Estimation of Passenger Route Choice Pattern Using Smart Card Data for ComplexMetro Systems,” IEEE Transactions on Intelligent Transportation Systems,vol. 18, no. 4, pp. 790–801, Apr. 2017.

[5]          Z.Tian, T. Jung, L. Tu and et al.,“Real-Time Charging Station Recommendation System for Electric-Vehicle Taxis,” IEEETransactions on Intelligent Transportation Systems, vol. 17, no. 11, pp.3098–3109, Nov. 2016.

[6]          K.He, Z. Xu, P. Wang, L. Deng, and L. Tu,“Congestion Avoidance Routing Based on Large-Scale Social Signals,” IEEE Transactionson Intelligent Transportation Systems, vol. 17, no. 9, pp. 2613–2626, Sep.2016.

[7]          D.Hu, B. Huang, L. Tu, and S. Chen,“Understanding Social Characteristic from Spatial Proximity in Mobile SocialNetwork,” International Journal of Computers Communications & Control,vol. 10, no. 4, pp. 539–550, Aug. 2015.

[8]        Z.Wang, L. Tu, Z. Guo, L. T. Yang, andB. Huang, “Analysis of user behaviors by mining large network data sets,” FutureGeneration Computer Systems, vol. 37, pp. 429–437, Jul. 2014.

[9]        L. Tu and C.-M. Huang, “CollaborativeContent Fetching Using MAC Layer Multicast in Wireless Mobile Networks,” IEEETransactions on Broadcasting, vol. 57, no. 3, pp. 695–706, Sep. 2011.

[10]        L. Tu and C.-M. Huang, “Forwards: AMap-Free Intersection Collision-Warning System for All Road Patterns,” IEEETransactions on Vehicular Technology, vol. 59, no. 7, pp. 3233–3248, Sep.2010.

会议论文

[1]       T. Chen, L. Nie, J. Pan, L. Tu, B. Zheng and X. Bai, "Origin-Destination Traffic Prediction based on Hybrid Spatio-Temporal Network," 2022 IEEE International Conference on Data Mining (ICDM), Orlando, FL, USA, 2022, pp. 879-884.

[2]       L. Tu, Z. Ma, and B. Huang, “Analysisand Prediction of Differential Parking Behaviors,” in 2019 IEEE Intl Conf onDependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligenceand Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on CyberScience and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2019, pp.44–49.

[3]       J.Zhang, L. Tu, F. Zhang, X. Yin, J.Sun, and H. S. Chen, “Flexible Express Bus Line Planning and Operating Based onPassenger Flow Analysis,” in 2018 21st International Conference onIntelligent Transportation Systems (ITSC), 2018, pp. 2511–2518.

[4]       L. Tu, J. Wen, B. Huang, and D. Tan,“Multi-scale Trajectory Data Management and Query,” in 2018 IEEE 4th Intl Conf on Big Data Intelligence andComputing and Cyber Science and TechnologyCongress(CyberSciTech), 2018, pp. 143–150.

[5]       J.Zhang, L. Tu, F. Zhang, and B.Huang, “A Real-Time Bus Transfer Scheme Recommendation Systems,” in 2017Fifth International Conference on Advanced Cloud and Big Data (CBD), 2017,pp. 206–212.

[6]       Z.Tian, L. Tu, C. Tian, Y. Wang, andF. Zhang, “Understanding Battery Degradation Phenomenon in Real-Life ElectricVehicle Use Based on Big Data,” in 2017 3rd International Conference on BigData Computing and Communications, 2017, pp. 334–339.

[7]       SiZhao, Hongwei Wu, Lai Tu, and Benxiong Huang, “Segmentation of Urban AreasUsing Vector-based Model,” presented at the The 11th IEEE InternationalConference on Ubiquitous Intelligence and Computing (UIC-2014), Bali,Indonesia, 2014.

[8]       ShuChen, Hongwei Wu, Lai Tu, and Benxiong Huang, “Identifying Hot Lines of UrbanSpatial Structure using Cellphone Call Detail Record Data,” presented at theThe 11th IEEE International Conference on Ubiquitous Intelligence and Computing(UIC-2014), Bali, Indonesia, 2014.

[9]     J.Zhang, X. Yu, C. Tian, F. Zhang, L. Tu,and C. Xu, “Analyzing passenger density for public bus: Inference ofcrowdedness and evaluation of scheduling choices,” in 17th InternationalIEEE Conference on Intelligent Transportation Systems (ITSC), 2014, pp.2015–2022.

[10]     Z.Tian, Y. Wang, C. Tian, F. Zhang, L. Tu,and C. Xu, “Understanding operational and charging patterns of Electric Vehicletaxis using GPS records,” in 17th International IEEE Conference onIntelligent Transportation Systems (ITSC), 2014, pp. 2472–2479.

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