（1）SCI期刊

[1] Guo Y D, Yang F, Xie S Y, Yao Z X*. Activity-based model based on long short-term memory network and mobile phone signalling data[J]. Transportmetrica A: Transport Science, 2024, 20(3): 2217283.

Wang Yanchen, Yang Fei, He Li, et al. Inferring Travel Models from Cellular Signaling Data Based on the Gated Recurrent Unit Neural Network[J]. Journal of Advanced Transportation, 2023.

[2] Guo Y D, Yang F, Jin P J, Liu H D, Ma S, Yao Z X*. Vehicle travel path recognition in urban dense road network environments by using mobile phone data[J]. Transportmetrica A: Transport Science, 2022, 18(3): 1496–1516.

[3]Guo Y D, Yang F, Yan H M, Xie S Y, Liu H D, Dai Z*. Activity-based model based on multi-day cellular data: considering the lack of personal attributes and activity type[J]. IET Intelligent Transport Systems, 2023, 17(12): 2474–2492.

[4] Yihui Huang, Fei Yang, Dong Zhang, Zhennan Ding, "The Car-Purchasing Intention of the Youth in the Context of Online Car-Hailing: The Extended Theory of Planned Behavior", Journal of Advanced Transportation, vol. 2022.

[5] Haihang Jiang, Fei Yang, Xin Zhu, Zhenxing Yao, Tao Zhou, "Improved F-DBSCAN for Trip End Identification Using Mobile Phone Data in Combination with Base Station Density", Journal of Advanced Transportation, vol. 2022.

[6] Haihang Jiang,Fei Yang,Weijie Su,Zhenxing Yao,Zhuang Dai. Activity location recognition from mobile phone data using improved HAC and Bi-LSTM. IET Intelligent Transport Systems, vol.2022,1-16.

[7] Wang L L, Yang F, Jin P J, Zhou T*, Guo Y D. Detection of Traffic Pattern Based on Fuzzy Clustering and Wavelet Analysis Model at Different Signaling Positioning Frequencies[J]. Transportation Research Board, 2022, 2676(8): 601–618..

[8] Yudong Guo, Fei Yang, Peter Jing Jin ,et al. Vehicle Travel Path Recognition in Urban Dense Road Network Environments by Using Mobile Phone Data[J]. Transportmetrica A Transport Science, 2021(1):1-29.

[9] Yang Fei, Wang Yanchen, Jin Peter J.,Li Dingbang,Yao Zhenxing. Random Forest Model for Trip End Identification Using Cellular Phone and Points of Interest Data[J]. Transportation Research Record,2021,2675(7).

[10] Zhenxing Yao ,Yanchen Wang, Fei Yang* ,Yang Cheng，Bin Ran.Map matching for travel route identification based on Earth Mover's Distance algorithm using wireless cell trajectory data. Journal of Intelligent Transportation Systems volume 25,2021-6.

[1] Zhenxing Yao, Yu Zhong, Qiang Liao, Jie Wu, Haode Liu and Fei Yang*. Understanding Human Activity and Urban Mobility Patterns from Massive Cellphone Data: Platform Design and Applications. IEEE Intelligent Transportation Systems Magazine, online，2019.(SCI).

[12] Fei Yang, Zhenxing Yao, Peter J. Jin and Yaohua Xiong*. Arterial Link Travel Time Estimation Considering Traffic Signal Delays Using Cellular Handoff Data. IET Intelligent Transport Systems, 13(3): 461-468, 2018. (SCI) WOS: 000461575400006

[13] Fei Yang, Zhenxing Yao, Yang Cheng, Bin Ran and Da Yang. Multimode trip information detection using personal trajectory data. Journal of Intelligent Transportation Systems: Technology, Planning and Operations, 20(5): 449-460, 2016. (SCI) WOS: 000383885100004

[14] Fei Yang, Zhenxing Yao, Peter J. Jin and Yang Da. Performance Evaluation of Handoff-based Cellular Traffic Monitoring Systems Using Combined Wireless and Traffic Simulation Platform, Journal of Intelligent Transportation Systems: Technology, Planning and Operations, Volume 20(2), pp113-124, 2016. (SCI) WOS: 000372896500002

[15] Fei Yang, Zhenxing Yao and Peter J. Jin. GPS and Acceleration Data in Multimode Trip Data Recognition Based on Wavelet Transform Modulus Maximum Algorithm. Transportation Research Record, Issue 2526, pp90-98, 2015. (SCI) WOS: 000368569900011

[16] Fei Yang, Lin Chen, Yang Cheng, Zhexing Yao and Xu Zhang. Urban Public Transport Choice Behavior Analysis and Service Improvement Policy-making: A Case Study from the Metropolitan City, Chengdu, China. Journal of Applied Statistics, Volume 42(4), pp806-816, 2015. (SCI) WOS: 000348773800001

[17] Fei Yang, Lin Chen, Yang Cheng, Xia Luo and Bin Ran. An Empirical Study of Parameter Estimation for Stated Preference Experimental Design. Mathematical Problems in Engineering, 2014(2): 1-8, 2014. (SCI) WOS: 000344269100001

[18] Fei Yang, Cheng Yang, Jing Jin, Jun Xia, Da Yang and Bin Ran. Wireless Communication Simulation Model for Dynamic Cellular Handoff-based Traffic Monitoring Systems: Framework and Evaluation. Transportation Research Record, Issue 2291, pp26-34, 2012. (SCI) WOS: 000313928800004

[19] Yanfu Qiao, Yihui Huang, Fei Yang* and Lin Chen. Empirical study of travel mode forecasting improvement for the combined revealed preference/stated preference data-based discrete choice model, Advances in Mechanical Engineering, Volume 8, Issue 1, 2016, (SCI) WOS: 000369978400012

[20] Da Yang, Liling Zhu*, Fei Yang and Yun Pu. Modeling and Analysis of the Lateral Driver Behavior in Lane-changing Execution, Issue 2490, 127-137, 2015. (SCI) WOS: 000364437000015

[21] Tang Li, Luo Xia, Cheng Yang, Yang Fei and Ran Bin. Comparing the State-of-the-art Efficient Stated Choice Designs based on Empirical Analysis, Mathematical Problems in Engineering, 2014(2): 1-8, 2014. (SCI) WOS: 000332286700001

[22] Tang Li, Luo Xia, Cheng Yang, Yang Fei and Ran Bin. Constructing an Optimal Orthogonal Choice Design with Alternative-specific Attributes for Stated Choice Experiments, Transportation Research Record: Journal of the Transportation Research Board, Issue 2451, 50-59, 2014. (SCI) WOS: 000348967500006.

（2）国际会议论文

[1] Fei Yang, Haihang Jiang, Zhenxing Yao, Jian yao Zhou and Peng Cao*. A Procedure Optimization Method Based on Support Vector Machine for Identifying Transportation Mode under Different Traffic Conditions Using GPS Trajectory Data. Presented at 99th Annual Meeting of Transportation Research Board, Washington, D.C., 2020.

[2] Fei Yang, Haihang Jiang, Yue Huang, Xu Chen and Zhenxing Yao*. Evaluation of Activity Location Recognition from Cellular Phone Data Using Hierarchical Clustering and Oscillation Correction Methods. Presented at 99th Annual Meeting of Transportation Research Board, Washington, D.C., 2020.

[3] Fei Yang, Jianyao Zhou, Di Zhu and Haitao Wu*. Effect of Incentive Mechanism Towards the Parking Behaviors of Bike-Sharing Users. Presented at 99th Annual Meeting of Transportation Research Board, Washington, D.C., 2020.

[4] Fei Yang, Lilei Wang, Fan Zuo, Yudong Guo and Xin Yue*. Adjacency Matrix Modeling for Urban Subway Passenger Travel Information Extraction Based on Cell Phone Data. Presented at 99th Annual Meeting of Transportation Research Board, Washington, D.C., 2020.

[5] Fei Yang, Yihui Huang, Peter J. Jin and Jun Xie*. An Empirical Study of the Travel Choice Behavior Model Based on the Mental Accounts Theory. Presented at 98th Annual Meeting of Transportation Research Board, Washington, D.C., 2019.

[6] Fei Yang*, Zongting Hou. The Impact on Traditional Taxi Industry of Different Types Service of Taxi-calling Mobile Apps: A Case Study in Chengdu, China. Presented at 97th Annual Meeting of Transportation Research Board, Washington, D.C., 2018.

[7] Zhenxing Yao, Yanchen Wang, Dingbang Li, Fei Yang*.A Random Forest Model for Trip End Identification Using Cellular Phone and POI Data:A Field Case Study from China.Presented at 100th Annual Meeting of Transportation Research Board, Washington, D.C., 2021.

[8] Zhenxing Yao, Jianyao Zhou, Peter J. Jin and Fei Yang*. Trip End Identification Based on Spatial-Temporal Clustering Algorithm Using Smartphone GPS Data. Presented at 98th Annual Meeting of Transportation Research Board, Washington, D.C., 2019.

[9] Zhenxing Yao, Jianyao Zhou, Peter J. Jin and Fei Yang*. GPS-based Travel Survey Method and Performance Evaluation Considering Key Influence Factors in Practical Application. Presented at 98th Annual Meeting of Transportation Research Board, Washington, D.C., 2019.

（3）EI期刊

[1]黄奕慧,杨飞,张栋,曾优美. 基于MA-CPT模型的出行方式选择模型优化[J]. 西南交通大学学报, 2023, 58(2): 367-372.

[2] 郭煜东,杨飞,周涛等. 基于手机信令的城市机动化方式细分双层模型研究[J]. 交通运输系统工程与信息,2023,23(3):101-109.

[3] 王彦琛,杨飞,李荣玲等.手机信令定位频率对交通方式识别的影响[J/OL].西南交通大学学报:1-9.

[4]杨飞,侯宗廷,王亮,吴海涛.考虑个体异质性的汽车分时租赁选择行为[J/OL].西南交通大学学报:1-8.

[5]杨飞,姜海航,郭煜东,刘健国,周涛.基于阶梯收费刷卡数据的公交下车站点算法优化与实证评估[J].同济大学学报(自然科学版),2022,50(03):320-327.

[6] 杨飞,侯宗廷,周涛*.考虑异质性的经典随机后悔最小化模型改进研究[J]. 交通运输系统工程与信息, 2020, 20(6):191-196.

[7] 杨飞,姜海航,姚振兴,刘好德.基于手机信令数据的出行端点识别效果评估[J].西南交通大学学报, 2020.

[8] 杨飞,姜海航,刘好德,姚振兴,霍娅敏^*,周子一.基于GPS 轨迹数据的不同交通状态下交通方式识别流程优化方法[J].交通运输系统工程与信息，2020, 20(4):83-89.

[9] 杨飞, 郭煜东*, Peter J. Jin, 吴海涛. 基于手机传感器数据的交通出行调查实证评估[J]. 交通运输工程学报,2019.

[10] 杨飞*, 姚振兴, 刘强. 基于通信与交通集成仿真的手机切换数据平台[J]. 北京理工大学学报(自然科学版), 32(S1), pp165-169, 2012. EI: 20130515972909

[11] Yang Fei, Liu Zhongyou and Zhang nian. Application of Cluster Algorithm for Travel Speed Classification Based on Cell Phone Handoff Location, 2nd International Conference on Structures and Building Materials, pp2507-2513, 2012. EI: 000308576701104

[12] 杨飞*, 夏军, 崔亚平. 基于通信仿真的手机切换扰动对车速误差影响[J]. 同济大学学报(自然科学版), 39(10), pp1479-1484, 2011. EI: 20114714541363

[13] Yang Fei* and Cui Yaping. Wireless Communication Simulation Experiment on Map Matching Method between Parallel Roads Based on Mobile Phone Handover, 2010 International Symposium on Traffic Information and logistic Engineering, pp730-732, 2010. EI: 20133016524285

[14] Yang Fei, Jiang Yangsheng and Wang Liang. Traffic Probe Sample Size Experiment Based On Mobile Phone Handover Information, 2nd International Conference on Transportation Engineering, pp681-686, 2009. EI: 20100112602841

[15] Yang Fei and Jiang Yangsheng. Characteristics of Road Travel Speed Data Collection Based on Mobile Phone Handover Location Technology, Proceedings of the Eighth International Conference of Chinese Logistics and Transportation Professionals, pp2145-2150, 2008. EI: 20093812323968

[16] 杨飞*, 惠英, 杨东援. 基于手机切换定位的交通路网标定方法[J]. 同济大学学报(自然科学版), 37(1), pp67-72, 2009. EI: 20090811915168

[17] 陈林*,杨飞,姜海航. 基于心理账户理论的交通出行选择行为研究[J]. 上海交通大学学报(自然科学版)), 50(8), pp1214-1220, 2016. EI: 20163802821726

[18] Zhao Wei and Yang Fei. Users based land-use pattern on railway passenger station area, Proceedings of Second International Conference on Transportation Engineering, ICTE 2009, pp4116 -4121, 2009. EI: 20100112603394

[19] 任挺, 陈林, 杨飞*, 晏启鹏. 基于AVC最小的交通行为特征研究方法[J]. 西南交通大学学报, 2014(05), 2014. EI: 201447221924

[20] 陈坚*, 晏启鹏, 杨飞, 胡骥. 出行方式选择行为的SEM—Logit 整合模型[J]. 华南理工大学学报: 自然科学版, 41 (2): 51-57, 2013. EI: 20131416174816

[21] 杨达, 蒲云*, 杨飞, 祝俪菱. 基于最优间距的车辆跟驰模型及其特性[J]. 西南交通大学学报, 47(5): 888-894, 2012. EI: 20124815724275215979

[22] 杨达*, 祝俪菱, 蒲云, 杨飞. 两种驾驶方式构成的异质交通流稳定性研究[J]. 北京理工大学学报, 33(011): 1140-1144, 2013. EI: 20140317

[23] 霍娅敏*, 陈坚, 李啸虎, 杨飞. 城市建设项目交通影响后评价模型[J]. 交通运输工程学报, 12(1): 79-86, 2012. EI: 20121614949771

（4）国内期刊论文

[1] 杨飞,郭煜东,钟宇*等. 融合手机大数据的区域综合交通需求分析理论体系[J]. 交通运输研究, 2023, 9(3): 46-54.

[2] 杨飞*, 姚振兴. 基于手机传感器数据的出行特征提取方法[J] . 城市交通, 14(1), pp9-14, 2016

[3] 杨飞*, 杨建中. 交通可达性对居住地选择的影响——以成都市为例[J].城市交通, 14(3), pp21-28,2016

[4] 杨飞*, 陈林, 杨桥东. 应用正交设计法的公交出行意愿与政策分析[J]. 中国科技论文, 08(11), pp1083-1087, 2013.

[5] 杨飞, 陈林, 夏军. 南充构建川东北区域交通枢纽定位下的综合交通发展战略[J]. 铁道运输与经济, 32(12), pp62-65, 2010.

[6] 杨飞, 赵炜, 王亮. 构建乐山综合交通枢纽战略规划[J]. 铁道运输与经济, 32(1), pp70-74, 2010.

[7] 杨飞*. 基于手机定位的交通OD数据获取技术[J]. 系统工程, 25(1), 2007.

[8] 杨飞*, 惠英. 基于手机切换变化模式的道路匹配方法[J]. 系统工程, 25(11),2007.

[9] 杨飞*. 停车换乘实施效果分析——以英国牛津和约克为例[J]. 交通与运输, 2005.02.

[10] 杨飞*, 裘炜毅. 基于手机定位的实时交通数据采集技术[J]. 城市交通, 3(4), 2005.

[11] 陈林, 杨飞*. 基于 RP 数据的成渝通道方式分担率变化[J]. 中国科技论文, 2012(11): 876-879.

[12] 惠英*, 杨飞. 英国停车换乘交通对策的实践与借鉴[J]. 重庆交通大学学报（自然科学版), 27(6), 2008.

[13] 王亮, 帅斌, 杨飞, 李冬平. 用地布局与交通组织衔接协同规划的实践[J]. 铁道运输与经济, 31(11), 2009.

[1]《Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data》，Fei Yang，Zhengxing Yao，Springer，2022，ISBN：978-981-16-8007-6

[2]《基于行为选择的交通需求管理——理论、方法演进与案例》，杨飞，杨敏，西南交通大学出版社，2021.11，ISBN：9787564379063

[3]《基于手机切换定位的道路行程车速采样提取技术研究》，杨飞，科学出版社，2013.06，ISBN：978-7-03-037424-0

[4]《基于手机定位数据的个体出行行为特征分析与技术研究——方法与实证》，杨飞，姚振兴，2017.04，ISBN：978-7-5608-6770-0

[5]《交通管理与控制案例集》，罗霞，刘澜，刘海旭，李娟，杨飞，人民交通出版社，2013.12，ISBN: 987-7-114-10577-7

[6]《Traffic Management and Control:Principles, Applications and Trends》，杨飞，罗霞，2016.10，ISBN：978-7-114-13434-0

[1] 基于GPS定位的交通方式组合出行的计算机识别方法，杨飞、姚振兴，中国，授权号：ZL2012102239395

[2] 基于手机切换定位的交通车速车载采集系统及方法，杨飞、姚振兴，中国，授权号：ZL2013100204146

[3] 基于EMD算法的个体出行手机切换序列道路匹配方法，杨飞、姚振兴、曾大堃、韩旭、刘中游，中国，授权号：ZL2014108249173

[4] 基于小波分析模极大值算法的交通出行换乘点识别方法，杨飞、姚振兴，中国，授权号：ZL201410829655.X

[5] 基于马尔科夫链的公共自行车站点供需预测方法，杨飞、黄奕慧、谭玉龙，中国，授权号：ZL201510050755.7

[6] 基于时空聚类分析算法的交通出行起讫点识别方法，杨飞、周建尧、戴露，中国，授权号：ZL201611195128.3

[7] 融合公交GPS轨迹与IC卡数据的乘客OD识别方法，杨飞、郭煜东、陈旭、姜海航、王彦琛、王利雷，中国，授权号：ZL201911126994.0

[8] 基于信令数据的建成环境与轨道客流分布关系确定方法，中国，授权号：ZL201911126993.6

[9]城市密集路网环境下车辆出行路径识别方法，杨飞、郭煜东、马赛、王嘉鑫、刘怡、姚振兴，中国，申请号：202211245151.4

[10] 基于多层凝聚层次聚类算法的交通出行端点识别方法，杨飞、姜海航、周建尧，中国，申请号：201810929564.1

[11] 基于邻接矩阵和信令触发规则的轨道出行特征提取方法, 中国，申请号：201910997777.2

[12] 融合时空聚类和支持向量机的居民出行特征提取方法，中国，申请号：201910997779.1

[1]《基于GPS定位数据的多模式交通方式组合识别软件》，杨飞、姚振兴、陈林、夏军，2012，中国，2012SR097336

[2]《基于手机传感器数据的交通出行智能调查软件》，杨飞、姚振兴、韩旭、赵瑜、杨桥东，2014，中国，2014SR067332

[3]《耦合“人-车-通信”的一体化集成仿真软件V1.0》，杨飞、姚振兴、姜海航、周建尧、岳鑫，2020，中国，2020SR0647822

[4]《易行智能交通调查平台[简称易行]V1.0》，杨飞、王彦琛、郭煜东、周建尧、王嘉鑫，2022，中国，2022SR0097322