肖峰，教授，博士生导师，西南财经大学工商管理学院物流管理系。

国家自然科学基金优秀青年基金获得者，主持多项国家和省部级课题。

研究方向包括道路拥挤收费、网络建模和优化、博弈论、机器学习与交通数据挖掘、智能交通系统等。在管理科学与工程交通研究领域著名国际期刊和会议如Transportation Science，Transportation Research Part A、B、C、D, ISTTT等发表多篇论文。

教育背景

美国加州大学戴维斯分校，土木与环境工程系，博士后，2007-2011

香港科技大学，土木工程交通工程专业, 2004-2007，博士

清华大学，土木工程交通工程专业, 2001-2004，硕士

清华大学，土木工程结构工程,1997-2001，学士

科学研究

国家重点研发计划“综合交通运输与智能交通”专项子课题：可计算城市多模式交通网络模型及承载能力分析方法，2019~2021;

NSFC-广东大数据科学中心项目子课题：基于大数据的地方金融安全智能预警与防控系统，2019~2022；

国家自然科学基金国际(地区)合作与交流项目NSFC-RGC(内地-香港)：基于网约车平台数据和人工智能算法的乘客流动性分析， 2019~2022；

国家自然科学基金优秀青年科学基金项目：交通系统建模与管理优化，2017~2019；

国家自然科学基金重点项目子课题：低碳导向型城市交通系统优化与管理，2015-2019；

国家社科基金重大项目子课题：城市地铁系统脆弱性评价及控制策略研究，2014～2018；

四川省应用基础研究面上项目：基于城市交通多源数据与人工智能算法的居民出行特征分析，2018-2019；

成都市科技惠民技术研发项目：基于手机信令数据的成都市交通出行分析系统， 2017~2018；

国家博士点基金项目：具有信用评分机制的出租车派送系统研究，2013～2015；

国家自然科学基金青年科学基金项目：基于可交易信用证券的道路拥堵收费模型和缓堵策略研究，2013～2015；

研究成果

[1]Li, L., Lo, H.K.*, Xiao, F., 2019. Mixed Bus Fleet Scheduling under Range and Refueling Constraints. Transportation Research Part C. In press.

[2]Xiao, F.*, Shen, M.Y., Xu, Z.T., Li, R.J., Yang, H. and Yin, Y.F., 2019. Day-to-day Flow Dynamics for Stochastic User Equilibrium and A General Lyapunov Function. Transportation Science. Published online in Articles in Advance.https://doi.org/10.1287/trsc.2018.0853.

[3]Zhang, D.P., Xiao, F.*, Li, L., Kou, G.，2019. Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network. arXiv:1904.06823 [cs.LG].

[4]Ke, J.T., Xiao, F.*, Yang, H. and Ye, J.P., 2019. Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning. arXiv:1902.06228 [cs.MA].

[5]Xiao, F., Long, J.C., Li, L.*, Kou, G. and Nie, Y., 2019. Promoting Social Equity with Cyclic Tradable Credits. Transportation Research Part B 121(2019), 56-73.

[6]Li, L., Lo, H.K.*, Xiao, F., Cen, X.K., 2018. Mixed Bus Fleet Management Strategy for Minimizing Overall and Emissions External Costs Transportation. Transportation Research Part D 60, 104-118.

[7]Ge, Y.E.*, Long, J.C., Xiao, F., Shi, Q., 2018. Traffic modeling for low-emission transport. Transportation Research Part D 60, 1-6.

[8]Ye, H.B., Xiao, F.*, Yang, H., 2018. Exploration of day-to-day route choice models by a virtual experiment. Transportation Research Part C 94, 220-235.

[9]Tu, W.W., Xiao, F.*, Fu, L.P., Pan, G.Y., 2018. A deep learning model for traffic flow state classification based on smart phone sensor data. arXiv:1709.08802 [cs.LG].

[10]Xu, L., Zhang, C., Xiao, F.* and Wang, F., 2017. A Robust Approach to Airport Gate Assignment with a Solution-dependent Uncertainty Budget. Transportation Research Part B 105, 458-478.

[11]Bao, Y., Xiao, F., Gao, Z.H., Gao, Z.Y.*, 2017. Investigation of the traffic congestion during public holiday and the impact of the toll-exemption policy. Transportation Research Part B 104, 58-81.

[12]Ye, H.B., Xiao, F.*, Yang, H., 2017. Exploration of day-to-day route choice models by a virtual experiment. Transportation Research Procedia 23, 679-699.

[13]Xiao, F.*, Yang, H. and Ye, H.B., 2016. Physics of Day-To-Day Network Flow Dynamics. Transportation Research Part B 86, 86-103.

[14]Nie, Y.M. *, Ghamami, M., Zockaie, A. and Xiao, F., 2016. Optimization of Incentive Polices for Plug-in Electric Vehicles. Transportation Research Part B 84, 103-123.

[15]Zhu, J.C., Xiao, F.* and Liu, X.B., 2015. Taxis in road pricing zone: should they pay the congestion charge? Journal of Advanced Transportation 49(1), 96-113.

[16]Xiao, F. and Zhang, H.M.*, 2014. Pareto-Improving Toll and Subsidy Scheme on Transportation Networks. European Journal of Transport and Infrastructure Research 14(1), 46-65.

[17]Xiao, F.* and Zhang, H.M., 2014. Pareto-Improving and Self-Sustainable Pricing for the Morning Commute with Nonidentical Commuters. Transportation Science 48(2), 159-169.

[18]Xiao, F., Qian, Z. and Zhang, H.M.*, 2013. Managing Bottleneck Congestion with Tradable Credits. Transportation Research Part B 56(0), 1-14.

[19]Xiao, F., Shen, W. and Zhang, H.M.*, 2012. The Morning Commute under Flat Toll and Tactical Waiting. Transportation Research Part B 46(10), 1346-1359.

[20]Qian, Z., Xiao, F., Zhang, H.M.*, 2012. Managing morning commute with parking. Transportation Research Part B 46(7), 894–916.

[21]Qian, Z., Xiao, F. and Zhang, H.M.*, 2011. The Economics of Parking Provision for the Morning Commute. Transportation Research Part A, 45(9), 861-879.

[22]Xiao, F., Qian, Z. and Zhang, H.M.*, 2010. Morning commute problem with coarse toll and nonidentical commuters. Networks and Spatial Economics,11 August 2010, 1-27.

[23]Yang, H.* and Xiao, F., 2009. Private road competition and equilibrium with traffic equilibrium constraints. The Journal of Advanced Transportation 43(1), 21-45.

[24]Xiao, F.*, Yang, H., 2008. Efficiency loss of private road with continuously distributed value of time. Transportmetrica 4(1), 19-32.

[25]Xiao, F., Yang, H.* and Guo, X.L., 2007. Bounding the inefficiency of toll competition among congested roads. Transportation and Traffic Theory 2007(ISTTT17) (edited by Richard E. Allsop),Elsevier, 27-54. Imperial College London, UK.

[26]Xiao, F., Yang, H.* and Han, D.R., 2007. Competition and efficiency of private toll roads. Transportation Research Part B 41(3), 292-308.

[27]Xiao, F. and Yang, H.*, 2007. Three-player game-theoretic model over a freight transportation network. Transportation Research Part C 15(4), 209-217.

[28]肖峰*，涂雯雯，陈冬. 基于手机运动传感器数据的交通流拥挤识别[J]. 西南交通大学学报，2016, 51(3):553-562.

[29]祝进城, 肖峰*, 帅斌. 城市出租车拥挤收费[J]. 吉林大学学报:工学版, 2015, 45(1):89-96.

[30]张大鹏, 肖峰*. 基于个人空间理论的人群疏散机理研究[J]. 交通运输工程与信息学报, 2016, 14(2):144-152.

[31]郑梦雷, 肖峰*, 朱文熙. 电动汽车充电站规模优化模型研究[J]. 西华大学学报(自然科学版), 2015, 34(5):103-107.

[32]邓雪，肖峰*，郑梦雷. 闯黄灯处罚对交叉口通行效率的影响[J]. 西华大学学报(自然科学版), 2016.7, (04): 108~112.

[33]Zhang, M. and Xiao, F.*, 2013. Bus Arrival Time Prediction based on GPS Data. Proceedings of the Fourth International Conference on Transportation Engineering. ASCE Conf. Proc.，2013

[34]Xiao, F.*, 2011. Investment, Pricing, and Efficiency of Private Road with Heterogeneous Trip‐Makers. Proceedings of the Third International Conference on Transportation Engineering. ASCE Conf. Proc. doi:10.1061/41184(419)142.