唐進君

唐進君

唐進君,男,中南大學交通運輸工程學院副教授,博士生導師。

智慧交通湖南省重點實驗室副主任,交通運輸系副主任。

基本介紹

  • 中文名:唐進君
  • 出生地:廣西桂林市
  • 畢業院校:哈爾濱工業大學
  • 學位/學歷:博士
  • 職業:教師
  • 專業方向:多源交通數據檢測及挖掘技術 
人物經歷,所獲獎勵,期刊審稿,指導項目,邀請報告,科研項目,發明專利,著作編著,社會兼職,科研方向,講授課程,學術成果,學術獎勵,

人物經歷

2012.09-2016.11博士研究生,交通信息工程及控制專業,哈爾濱工業大學
2014.12-2016.06聯合培養博士研究生,華盛頓大學(西雅圖)智慧型交通套用與研究實驗室(STAR Lab:Smart Transportation Application and Research)
2006.09-2009.07 碩士研究生,交通運輸規劃與管理專業,山東理工大學
2002.09-2006.07 本科,交通工程專業,山東理工大學
2016.12-至今 副教授 中南大學交通運輸工程學院

所獲獎勵

2015年博士研究生國家獎學金
2012年哈爾濱工業大學苗族高等教育獎學金.

期刊審稿

Transportation Research Part C, Transportation Research Part B; Transportation Research Part D; Journal of Transport Geography; Physica A; Journal of Transportation Engineering; Journal of Intelligent Transportation System; Journal of Advanced Transportation; Journal of Transportation Safety & Security, PLOS One; International Journal of Electrical Power & Energy Systems;IET Intelligent Transportation System; Canadian Journal of Civil Engineering, TRB; IEEE Access; PROMET-Traffic&Transportation; Intelligent Transportation System Conference (ITSC).

指導項目

1. 王晨曦,基於機器視覺的道路標誌標線自動識別方法,國家級創新訓練項目,2019-2020,指導老師:唐進君
2. 歐陽靖雲,基於機器視覺和深度學習的公交站點乘客OD數據採集系統,校級創新訓練項目,2019-2020,指導老師:唐進君
3. 都州楊,基於刷卡數據的城市軌道交通網路關鍵節點識別,2019年中南大學本科優秀畢業論文,指導老師:唐進君 .

邀請報告

[1] Urban Travel Behavior Analysis Based on Big Traffic Data. June 20, 2019, Changan University, Xi’an, China.
[2] Deep Analyzing and Exploring of Transportation System Based on Multi Data Source, November 13, 2018, Changsha University of Science and Technology, Changsha, China.
[3] Uncovering urban travel characteristics using large-scale GPS trajectory data, 8th Transportation Research Forum-TRF, November 2-3, 2018, Zhenjiang, China.
[4] Deep learning methods based on multi data source in transportation system, Management science and engineering discipline, 2018 Youth Foundation Project Research Conference, October 25th, 2018, Shanghai University, Shanghai, China.
[5] Uncovering urban travel characteristics using large-scale GPS trajectory data, 18th COTA International Conference of Transportation Professionals (CICTP2018), session, “Information sharing platform of traffic safety research”, July 5-8, 2018, Beijing, China.
[6] Traffic trajectory analysis based on GPS data, Intelligent transportation international cooperation and project research and communication, May 5, 2018, Nanjing University of Science and Technology, Nanjing, China.
[7] Uncovering urban travel characteristics using large-scale GPS trajectory data, The 1st young scholars Forum on traffic engineering and management, April 15, 2018, Beijing, China.
[8] Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System, 17th COTA International Conference of Transportation Professionals (CICTP2017), session, “Freeway Operation and Management”, July 7-9, 2017, Shanghai, China.
[9] Data Quality Control and Prediction for Traffic Flow Data, 12th China Annual Conference on Intelligent Transportation, November 21-23, 2017, Changshu, China.

科研項目

[1]主持,2018.01-2020.12,國家自然基金青年基金項目,71701215
[2]主持,2020.01-2022.12,中南大學創新驅動青年項目, 2020CX041,
[3] 主持,2018.10-2019.06,橫向諮詢類項目(長沙市軌道交通6號線梧桐路車輛段項目交通規劃設計研究,)
[4]主持,2019.06-2020.12,第12批博士後特別資助
[5]主持,中央高校基本科研經費:中南大學“特聘副教授”專項經費, 2017.01-2021.12,502045002
[6]主持,2018.01-2020.12,湖南省交通科技創新項目,201725
[7] 主持,2018.01-2019.12,江蘇省智慧型交通信息感知與數據分析工程實驗室開放基金
[8]主持,長沙市智慧型交通發展模式研究子項目,2017.3-2018.4,長沙市住建委,201612160023
[9]主持, 2018-2019, 博士後科學基金面上項目(一等),140050005
[10]第四參與人,2016.01-2019.12,國家自然基金面上項目,51578198,負責多源檢測數據分析與建模
[11]主要參與人,國家自然基金海外合作研究基金,2009.01-2012.12,51028802,負責主動式交通建模分析
[12]主要參與人,國家自然基金重點項目,2012.01-2016.12,51138003,負責多源檢測數據分析與建模
[13]主要參與人,國家自然基金海外合作延續資助項目,2014.01-2017.12,51329801,負責多源檢測數據分析與建模
[14]第三參與人,國家自然科學基金青年科學基金項目,2015.01-2017.12,71403068,負責出行網路建模.

發明專利

唐進君,劉芳,黃合來,一種交通流速度預測方法及系統, 2017.9.27,申請號:201710889703.8
唐進君,胡瑾,劉芳,一種考慮路徑重複係數的計程車尋客方法及系統,2018.3.12,申請號:201810201482.5
唐進君,胡正,一種站點客流量的統計方法、裝置及計算機存儲介質,2018.12.10,申請號:201811232162.2 .

著作編著

[1]高寒冰雪氣候城市智慧型交通頂層設計研究-以哈爾濱市為例,參編,科學出版社,2015-01-01.
[2]Urban Travel Mobility Exploring With Large-Scale Trajectory Data, Transportation Science, 第二章負責人,Elsevier,2019.

社會兼職

[1]2017.5-2022.4 南京理工大學江蘇省智慧型交通信息感知與數據分析工程實驗室特聘研究員
[2]2018年CICTP (COTA conference International Conference of Transportation Professionals)國際會議的區域主編(Area Editors)
[3]世界交通大會WTC (Word Transport Convention) 交叉科學學部交通數據科學理論與方法技術委員會主席
[4]2019年湖南省城市文明暢通提升行動計畫專家組成員
[5]PLOS ONE Academic Editor。

科研方向

多源交通數據檢測及挖掘技術
基於大規模移動式檢測數據的城市居民出行時空特性研究
交通流建模及預測
智慧交通系統。

講授課程

交通工程基礎
城市軌道交通規劃與設計
綜合交通樞紐規劃與設計(研究生)。

學術成果

[1] Jinjun Tang, Fang Liu, Yajie Zou, Weibin Zhang, Yinhai Wang. “An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic”. IEEE Transaction on Intelligent Transportation Systems, 18(9): 2340-2350, 2017-09-1. (SCI, IF: 5.7, JCR 1), Hot Paper and Highly Cited Paper.
[2] Jinjun Tang, Han Jiang, Zhibin Li, Meng Li, Fang Liu, Yinhai Wang. “A Two-layer Model for Taxi Customer Searching Behaviors using GPS Trajectory Data”. IEEE Transactions on Intelligent Transportation Systems, Vol. 17, No. 11, 3318-3324, 2016-11-01. (SCI, IF: 5.7, JCR 1)
[3] Jinjun Tang, Yiwei Wang, Wei Hao, Fang Liu, Helai Huang and Yinhai Wang. “A mixed path size logit based taxi customer-search model considering spatio-temporal factors in route choice”. IEEE Transactions on Intelligent Transportation Systems, 2019-04, 10.1109/TITS.2019.2905579. (SCI, IF: 5.7, JCR 1)
[4] Jinjun Tang, Guohui Zhang, Yinhai Wang, Hua Wang, Fang Liu. “A Hybrid Approach to Integrate Fuzzy C-means Based Imputation Method with Genetic Algorithm for Missing Traffic Volume Data Estimation”. Transportation Research Part C: Emerging Technologies, Vol.51, 2015-02-01, 29-40. (SCI, IF: 5.7, JCR 1)
[5] Shen Zhang, Jinjun Tang*, Haixiao Wang, Yinhai Wang, Shi An. “Revealing intra-urban travel patterns and service ranges from taxi trajectories”. (*corresponding author). Journal of Transport Geography. Vol.61, 72-86, 2017-05-01.(SSCI, IF:3.5, JCR 1) Hot Paper and Highly Cited Paper
[6] Jinjun Tang, Fang Liu, Wenhui Zhang, Ruimin Ke, Yajie Zou. “Lane-Changes Prediction Based on Adaptive Fuzzy Neural Network”. Expert Systems with Applications. Vol.91, 452-463, 2018-01. (SCI, IF: 4.2, JCR 1)Hot Paper and Highly Cited Paper
[7] Jinjun Tang, Jian Liang, Chunyang Han, Zhibin Li, Helai Huang.“Crash injury severity analysis using a two-layer Stacking framework”. Accident Analysis and Prevention, Vol.122, 226-238, 2019-01. (SCI, IF: 3.0, JCR 1) Hot Paper and Highly Cited Paper
[8] Jinjun Tang, Shaowei Yu, Fang Liu, Xinqiang Chen, Helai Huang. “A hierarchical prediction model for lane-changes based on combination of fuzzy c-means and adaptive neural network”. Expert Systems with Applications. Vol.130, 265-275, 2019.05. (SCI, IF: 4.2, JCR 1)
[9] Jinjun Tang, Xinshao Zhang, Weiqi Yin, Yajie Zou, Yinhai Wang. “Missing Data Imputation for Traffic Flow Based on Combination of Fuzzy Neural Network and Rough Set Theory”. Journal of Intelligent Transportation Systems. 2020-1, Doi: 10.1080/15472450.2020.1713772. (SCI, IF: 2.5, JCR 2)
[10] Yajie Zou, Xin Ye, Kristian Henrickson, Jinjun Tang*, Yinhai Wang. “Jointly analyzing freeway traffic incident clearance and response time using a copula-based approach”. Transportation Research Part C, (*corresponding author)Vol.86,2018-01: 171-182. (SCI , IF:5.7, JCR 1)
[11] Shen Zhang, Xin Liu, Jinjun Tang*, Shaowu Chen, Yinhai Wang. “Urban spatial structure and travel patterns: analysis of workday and holiday travel using inhomogeneous Poisson point process models”. Computers, Environment and Urban Systems. Vol. 73, 68-84, 2019-03. (SSCI, IF: 3.3, JCR 1)
[12] Yajie Zou, Hang Yang,Yunlong Zhang,Jinjun Tang*, Weibin Zhang. “Mixture modeling of freeway speed and headway data using multivariate skew-t distributions” (*corresponding author). Transportmetrica A: Transport Science, Vol.13, No.7, 657-678, 2017-05-01.(SCI, IF: 1.9, JCR 2)
[13] Jinjun Tang, Fan Gao, Fang Liu, Xinqiang Chen. “A Denoising Scheme-Based Traffic Flow Prediction Model Combination of Ensemble Empirical Mode Decomposition and Fuzzy C-Means Neural Network”. IEEE Access, Vol. 8, 11546-11559, 2020-1.
[14] Jinjun Tang, Jin Hu, Wei Hao, Xinqiang Chen, Yong Qi. “Markov Chains Based Route Travel Time Estimation Considering Link Spatio-Temporal Correlation”. Physica A. 123759, 2020. Doi: 10.1016/j.physa.2019.123759.(SCI, IF: 2.5, JCR 2)
[15] Jinjun Tang, Fan Gao, Fang Liu, Wenhui Zhang, Yong Qi. “Understanding Spatio-Temporal Characteristics of Urban Travel Demand Based on the Combination of GWR and GLM”. Sustainability, Vol.11, No.5525, 1-19, 2019-12. (SCI, IF: 2.5, JCR 2)
[16] Jinjun Tang, Lexiao Li, Zheng Hu, Fang Liu. Short-term traffic flow prediction considering spatio-temporal correlation: a hybrid model combing type-2 fuzzy c-means and artificial neural network. IEEE Access, Vol. 7, 101009-101018, 2019-12. (SCI, IF: 4.0, JCR 1)
[17] Jinjun Tang, Xinqiang Chen, Zheng Hu, Fang Zong, Chunyang Han, Lexiao Li. “Traffic flow prediction based on combination of support vector machine and data denoising schemes”. Physica A, 2019, Vol.534, 120642, 1-19. (SCI, IF: 2.5, JCR 2)
[18] Jinjun Tang, Jian Liang, Shen Zhang, Helai Huang, Fang Liu. “Inferring driving trajectories based on probabilistic model from large scale taxi GPS data” Physica A, Vol.506, 566-577, 2018-09. (SCI, IF: 2.5, JCR 2)
[19] Jinjun Tang, Shen Zhang, Xinqiang Chen, Fang Liu, Yajie Zou. “Taxi Trips Distribution Modeling Based on Entropy-maximizing Theory: A Case Study in Harbin City - China”. Physica A, Vol.493, 430-443, 2018-03. (SCI, IF: 2.5, JCR 2)Highly Cited Paper
[20] Jinjun Tang, Yifan Yang, Yong Qi. “A hybrid algorithm for urban transit schedule optimization”, Physica A, Vol.512, 745-755, 2018-12. (SCI, IF: 2.5, JCR 2)
[21] Jinjun Tang, Shen Zhang, Yajie Zou, Fang Liu. “An Adaptive Map-Matching Algorithm based on Hierarchical Fuzzy System from Vehicular GPS data”. PLOS ONE. Vol.12, No.12, e0188796, 2017-12. (SCI, IF: 2.8, JCR 1)
[22] Jinjun Tang, Yajie Zou, John Ash, Shen Zhang, Fang Liu, Yinhai Wang. “Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System”. PLOS ONE. Vol.11, No.2, e0147263, 2016-02-01. (SCI, IF: 2.8, JCR 1)
[23] Jinjun Tang, Yinhai Wang, Fang Liu. “Characterizing Traffic Time Series Based on Complex Network Theory”. Physica A, Vol.392, No.18, 4192-4201, 2013-09-15. (SCI, IF: 2.5, JCR 2)
[24] Jinjun Tang, Yinhai Wang, Hua Wang, Sheng Zhang, Fang Liu. “Dynamic Analysis of Traffic Time Series at Different Temporal Scales: A Complex Networks Approach”. Physica A, 405,303-315, 2014-07-01. (SCI, IF: 2.5, JCR 2)
[25] Jinjun Tang, Fang Liu, Weibin Zhang, Shen Zhang, Yinhai Wang. “Exploring dynamic property of traffic flow time series in multi-states based on complex networks: phase space reconstruction versus visibility graph”. Physica A. Vol.450, 635-648. 2016-05-15. (SCI, IF: 2.5, JCR 2)
[26] Jinjun Tang, Shen Zhang, Fang Liu, Weibin Zhang, Yinhai Wang. “Statistical properties of urban mobility from location-based travel networks”. Physica A, Vol. 461, 694-707, 2016-11-01. (SCI, IF: 2.5, JCR 2)
[27] Jinjun Tang, Fang Liu, Yinhai Wang, Hua Wang. “Uncovering urban human mobility from large scale taxi GPS data”. Physica A, Vol.438, No.15, 140-153, 2015-11-15. (SCI, IF: 2.5, JCR 2)
[28] Jinjun Tang, Yinhai Wang, Hua Wang, Fang Liu. “On missing traffic data imputation based on fuzzy c-means method by considering spatial temporal correlation”. Transportation Research Record. No.2528, 86-95, 2015-10-01.(SCI,IF: 0.5, JCR 4)
[29] Jinjun Tang, Hua Wang, Yinhai Wang, Xiaoyue Liu, Fang Liu. “Hybrid Predicting Approach Based on Weekly Similarity for Traffic Flow at Different Temporal Scales”. Transportation Research Record, No. 2443, 21-31, 2014-10-01. (SCI,IF: 0.5 , JCR 4)
[30] Xinqiang Chen, Yongsheng Yang, Shengzheng Wang, Huafeng Wu, Jinjun Tang*, Jiansen Zhao, Zhihuan Wang. Ship Type Recognition via a Coarse-to-Fine Cascaded Convolution Neural Network, Journal of Navigation, (*corresponding author), 2020, Doi: 10.1017/S0373463319000900.(SCI,IF: 1.8 , JCR 1)
[31] Ying Yan, Xiangli Yang, Ying Zhang, Jin Hu, Jinjun Tang*, Zhongyin Guo. “Crash Prediction based on Random Effect Negative Binomial Model Considering Data Heterogeneity”, Physica A. (*corresponding author), In pressed, 2020, Doi: 10.1016/j.physa.2019.123858. (SCI, IF: 2.5, JCR 2)
[32] Xiaoxue Yang, Yajie Zou, Jinjun Tang*, Jian Liang, Muhammad Ijaz. Evaluation of Short-term Freeway Speed Prediction Based on Periodic Analysis Using Statistical Models and Machine Learning Models. Journal of Advanced Transportation (*corresponding author). 2020, 9628957, 1-16. (SCI, IF:1.9, JCR 2)
[33] Jingjing Hao, Ling Zhang, Xiaofeng Ji, Jinjun Tang*, “Modeling and Analyzing of Family Intention for the Customized Student Routes: A Case Study in China”. Physica A. (*corresponding author), In pressed, DOI: 10.1016/j.physa.2019.123399 2020. (SCI, IF: 2.5, JCR 2)
[34] Xinqiang Chen, Lei Qi, Yongsheng Yang, Qiang Luo, Octavian Postolache, Jinjun Tang*, Huafeng Wu. “Video-based Detection Infrastructure Enhancement for Automated Ship Recognition and Behavior Analysis”. Journal of Advanced Transportation (*corresponding author), 2020, 7194342,1-12. (SCI, IF:1.9, JCR 2)
[35] Zhouyang Du, Jinjun Tang*, Yong Qi, Yiwei Wang, Chunyang Han, Yifan Yang. “Identifying Critical Nodes in Metro Network Considering Topological Potential: A case study in Shenzhen city—China”. Physica A. (*corresponding author), Vol.539, 1-13, 2020. (SCI, IF: 2.5, JCR 2)
[36] Ying Yan, Youhua Dai, Xiaodong Li, Jinjun Tang*, Zhongyin Guo. “Driving risk assessment using driving behavior data under continuous tunnel environment”. (*corresponding author), Traffic Injury Prevention. Vol.20, No.8, 807-812, 2019-12. (SSCI, IF:1.4, JCR 3)
[37] Qaing Luo, Jie Yuan, Xinqiang Chen, Shubo Wu, Zhijian Qu, Jinjun Tang*. Analyzing start-up time headway distribution characteristics at signalized intersections. Physica A. (*corresponding author), Vol.535, 1-10, 2019. (SCI, IF: 2.5, JCR 2)
[38] Fang Zong, Xiangru Chen, Jinjun Tang*, Ping Yu, Ting Wu. “Analyzing Traffic Crash Severity with Combination of Information Entropy and Bayesian Network”. (*corresponding author), IEEE Access. Vol.7, 63288-63302, 2019. (SCI,IF: 4.0 , JCR 1)
[39] Yajie Zou, Xinzhi Zhong, Jinjun Tang*, Xin Ye, Lingtao Wu, Muhammad Ijaz, Yinhai Wang. A copula-based approach for accommodating the underreporting effect in wildlife-vehicle crash analysis. Sustainability. No.11, Vol.418, 1-13, 2019-01. (SCI,IF: 2.5 , JCR 2) Highly Cited Paper
[40] Fang Zong, Ping Yu, Jinjun Tang, Xiao Sun. “Understanding Parking Decisions with Structural Equation Modeling”, Physica A, (*corresponding author) Vol.523, 408-417, 2019.(SCI, IF: 2.5, JCR 2)
[41] Fang Zong, Yongda Tian, Yanan He, Jinjun Tang*, Jianyu Lv. “Trip destination prediction based on multi-day GPS data”, Physica A. (*corresponding author) Vol.515, 258-269, 2019-02.(SCI, IF: 2.5, JCR 2) Highly Cited Paper
[42] Shen Zhang, Xin Liu, Jinjun Tang*, Shaowu Cheng, Yong Qi, Yinhai Wang. “Spatio-temporal modeling of destination choice behavior through the Bayesian hierarchical approach”, Physica A, (*corresponding author) Vol.512, 537-551, 2018-12. (SCI, IF: 2.5, JCR 2)
[43] Fang Zong, Jianyu, Lv, Jinjun Tang*, Xiao Wang, Fei Gao. “Identifying Activities and Trips with GPS Data”. IET Intelligent Transport Systems. (*corresponding author) Vol.12, No.8, 884-890, 2018-05.(SCI, IF: 2.0, JCR 3)
[44] Ying Yan, Gengping Li, Jinjun Tang*, Zhongyin Guo. “A Novel Approach for Operating Speed Continuous Predication Based on Alignment Space Comprehensive index”. (*corresponding author). Journal of Advanced Transportation. Vol.2017, 2017-12, ID:9862949, 1-14. (SCI, IF:1.9, JCR 3)
[45] Yajie Zou, Jinjun Tang*, Lingtao Wu, Kristian Henrickson, Yinhai Wang. “Quantile analysis of freeway incident clearance time”. Proceedings of the Institution of Civil Engineers – Transport, (*corresponding author) Vol.170, No.5, 296-304, 2017-10-01.(SCI, IF: 0.3, JCR 4區)
[46] Ying Yan, Shen Zhang, Jinjun Tang*, Xiaofei Wang. “Understanding characteristics in multivariate traffic flow time series from complex network structure”. (*corresponding author). Physica A, Vol.477, 149-160, 2017-07.(SCI, IF: 2.5, JCR 2)
[47] Han Jiang, Yajie Zou, Shen Zhang, Jinjun Tang*, Yinhai Wang. “Short-term speed prediction using remote microwave sensor data: machine learning versus statistical model”. Mathematical Problems in Engineering. Vol.2016, ID 9236156, 2016-01-19. (* corresponding author) (SCI, IF: 0.7, JCR 3)
[48] Weibin Zhang, Jinjun Tang*,Kris,Yajie Zou, Yinhai Wang. “Hybrid short-term prediction of traffic volume at ferry terminal based on data fusion”. IET Intelligent Transport Systems, (* corresponding author) Vol.10, No.8, 524-534, 2016-09-26. (SCI, IF: 2.0, JCR 3)
[49] Xiaofei Wang, Siqi Yang, Xinwei Li, Jintao Du, Jinjun Tang*. “Analysis on Accidents Distribution of Freeway under Various Conditions in China”. Advances in Mechanical Engineering, (*corresponding author) Vol.8, No.8, 1-12, 2016-04. (SCI, IF: 0.7, JCR 4)
[50] Haixiao Wang, Fang Liu, Jinjun Tang*. “Exploring intra-urban travel mobility using large-scale taxi Global Positioning System Trajectories”. International Journal of Vehicle Structures & Systems (*corresponding author) Vol.10, No.2, 150-159, 2018-09. (EI)
[51] Xi Chen, Yinhai Wang ,Jinjun Tang, Zhuang Dai, Xiaolei Ma. “Examining regional mobility patterns of public transit and automobile users based on the smart card and mobile Internet data: a case study of Chengdu, China”. IET Intelligent Transport Systems. Vol.14, No.1, 45-55, 2020-1. (SCI, IF:1.8, JCR 3)
[52] Zhengwu Wang, Jie Yu, Wei Hao, Jinjun Tang, Qiang Zeng, Changxi Ma. Rongjie Yu. “Two-Step Coordinated Optimization Model of Mixed Demand Responsive Feeder Transit”. Journal of Transportation Engineering, Part A: Systems, 2020-1, 146(3): 04019082. 1-12.
[53] Shaowei Yu, Jinjun Tang, Qi Xin. “Relative Velocity Difference Model for the Car-following Theory”.Nonlinear Dynamic. Vol.91, No.3, 1415-1428, 2018-02. (SCI, IF:3.4, JCR 1)Hot Paper and Highly Cited Paper
[54] Baoyu Hu, Yulong Pei, Jinjun Tang, Wei Gao. Common network characteristics of four bus transport networks in northeast china based on a perfect space p. International Journal of Modern Physics B, Vol.32, No.21, 2018-07,1850228, 1-15. (SCI, IF: 0.5, JCR 4)
[55] Xinqiang Chen, Zhibin Li, Yinhai Wang, Jinjun Tang, Wenbo Zhu, Chaojian Shi, Huafeng Wu. “Anomaly Detection and Cleaning of Highway Elevation Data from Google Earth using Ensemble Empirical Mode Decomposition”. Journal of Transportation Engineering, part A: Systems. 144(5), 2018-05, 04018015, 1-14.(SCI, IF: 0.8, JCR 3)
[56] R. Ke, Z. Li, J. Tang, Z. Pan, Y. Wang. Real-time traffic flow parameter estimation from uav video based on ensemble classifier and optical flow. IEEE Transactions on Intelligent Transportation Systems, Vol.20, No.1, 54-64. 2019. (SCI, IF: 5.7, JCR 1)
[57] Xianzhe Chen, Yajie Zou, Jinjun Tang, Yichuan Peng*, Lingtao Wu. Analysing the Impact of Traffic Incidents on the Travel Time Reliability of Freeway High-occupancy Vehicle Lanes. Discrete Dynamics in Nature and Society. Vol.2018, 2018, 7470645, 1-12.(SCI, IF: 0.7, JCR 4)
[58] Yinsong Wang, Yajie Zou, Kristian Henrickson, Yinhai Wang, Jinjun Tang, B. Park. “Google earth elevation data extraction and accuracy assessment for transportation applications”. PLoS ONE. Vol.12, No.4, 2017-04-01, e0175756.(SCI, IF: 2.8, JCR 1)
[59] Weibin Zhang, Cole Kopca, Jinjun Tang, Dongfang Ma, Yinhai Wang. “A Systemic Approach for Collision Risk Analysis based on AIS data”. Journal of Navigation, Vol.70, No.5, 1117-1132, 2017-09-01.(SCI, IF: 1.3, JCR 1)
[60] Weibin Zhang, Yong Qi, Kristian Henrickson, Jinjun Tang, Yinhai Wang. “Vehicle traffic delay prediction in ferry terminal based on Bayesian multiple models combination method”. Transportmetrica A: Transport Science, Vol. 13, No.5, 467-490, 2017-03-07. (SCI, IF: 1.8, JCR 2)
[61] Weibin Zhang, Yong Qi, Ying Yan, Jinjun Tang, Yinhai Wang. “A method of emission and traveler behavior analysis under multimodal traffic condition”. Transportation Research Part D: Transport and Environment, Vol. 52, 139-155, 2017-05-01. (SCI, IF: 1.8, JCR 2)
[62] Weibin Zhang, Yajie Zou,Jinjun Tang, Ash John, Yinhai Wang. “Short-term Prediction of Vehicle Waiting Queue at Ferry Terminal based on Machine Learning Method”. Journal of Marine Science and Technology, 1-13, 2016-01-01, DOI: 10.1007/s00773-016-0385-y.(SCI, IF: 0.8, JCR 3)
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