Driving Behavior Control Based on an On-line Learning Algorithm. - Kai Cao; Jinjun Tang; Lulu Zhou (ICNC (4), 2008)

A novel adaptive map-matching algorithm in vehicular navigation system. - Fang Liu 021; Shoulin Zhu; Chunhua Qi; Jinjun Tang (FSKD, 2010)

An iterative control for driving model based on fuzzy neural network. - Jinjun Tang; Guo Zhong Wang; Fang Liu 021; Jin Min Tang (ICNC, 2010)

Traffic flow prediction based on hybrid model using double exponential smoothing and support vector machine. - Jinjun Tang; Guangning Xu; Yinhai Wang; Hua Wang; Shen Zhang; Fang Liu 021 (ITSC, 2013)

Study on the dynamic relationships between weather conditions and free-flow characteristics on freeways in Jilin. - Shen Zhang; Jinjun Tang (ITSC, 2013)

A Two-Layer Model for Taxi Customer Searching Behaviors Using GPS Trajectory Data. - Jinjun Tang; Han Jiang 003; Zhibin Li 003; Meng Li 017; Fang Liu 021; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2016)

An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic. - Jinjun Tang; Fang Liu 021; Yajie Zou; Weibin Zhang; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2017)

Lane-changes prediction based on adaptive fuzzy neural network. - Jinjun Tang; Fang Liu 021; Wenhui Zhang; Ruimin Ke; Yajie Zou (Expert Syst. Appl., 2018)

Short-Term Traffic Flow Prediction Considering Spatio-Temporal Correlation: A Hybrid Model Combing Type-2 Fuzzy C-Means and Artificial Neural Network. - Jinjun Tang; Lexiao Li; Zheng Hu; Fang Liu 021 (IEEE Access, 2019)

Analyzing Traffic Crash Severity With Combination of Information Entropy and Bayesian Network. - Fang Zong; Xiangru Chen; Jinjun Tang; Ping Yu; Ting Wu (IEEE Access, 2019)

A hierarchical prediction model for lane-changes based on combination of fuzzy C-means and adaptive neural network. - Jinjun Tang; Shaowei Yu; Fang Liu 021; Xinqiang Chen; Helai Huang (Expert Syst. Appl., 2019)

Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow. - Ruimin Ke; Zhibin Li 003; Jinjun Tang; Zewen Pan; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2019)

Urban spatial structure and travel patterns: Analysis of workday and holiday travel using inhomogeneous Poisson point process models. - Shen Zhang; Xin Liu; Jinjun Tang; Shaowu Cheng; Yinhai Wang (Comput. Environ. Urban Syst., 2019)

Augmented Ship Tracking Under Occlusion Conditions From Maritime Surveillance Videos. - Xinqiang Chen; Xueqian Xu; Yongsheng Yang; Huafeng Wu; Jinjun Tang; Jiansen Zhao (IEEE Access, 2020)

A Denoising Scheme-Based Traffic Flow Prediction Model: Combination of Ensemble Empirical Mode Decomposition and Fuzzy C-Means Neural Network. - Jinjun Tang; Fan Gao 003; Fang Liu 021; Xinqiang Chen (IEEE Access, 2020)

A Lane-Changing Prediction Method Based on Temporal Convolution Network. - Yue Zhang 062; Yajie Zou; Jinjun Tang; Jian Liang (CoRR, 2020)

A Mixed Path Size Logit-Based Taxi Customer-Search Model Considering Spatio-Temporal Factors in Route Choice. - Jinjun Tang; Yiwei Wang; Wei Hao 002; Fang Liu 021; Helai Huang; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2020)

Leveraging Artificial Intelligence in Medicine Compliance Check. - Guoping Jia; Wei Zhu; Jinjun Tang; Wenping Zhang (HCI (22), 2021)

Missing data imputation for traffic flow based on combination of fuzzy neural network and rough set theory. - Jinjun Tang; Xinshao Zhang; Weiqi Yin; Yajie Zou; Yinhai Wang (J. Intell. Transp. Syst., 2021)

A Data-Driven Timetable Optimization of Urban Bus Line Based on Multi-Objective Genetic Algorithm. - Jinjun Tang; Yifan Yang 002; Wei Hao 002; Fang Liu 021; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2021)

Effects of Solidification Microstructure and Properties with Y and Gd Elements on Degradable Biological Magnesium Alloy. - Jinjun Tang; Cui Liang; Chenguang Xu (ICBET, 2022)

Spatiotemporal gated graph attention network for urban traffic flow prediction based on license plate recognition data. - Jinjun Tang; Jie Zeng 002 (Comput. Aided Civ. Infrastructure Eng., 2022)

Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology. - Ziyuan Pu; Zhiyong Cui; Jinjun Tang; Shuo Wang 017; Yinhai Wang (IEEE Internet Things J., 2022)

A Spatial Autoregressive Quantile Regression to Examine Quantile Effects of Regional Factors on Crash Rates. - Tianjian Yu; Fan Gao 003; Xinyuan Liu; Jinjun Tang (Sensors, 2022)

Understanding the correlation between destination distribution and urban built environment from taxi GPS data. - Fang Liu 021; Wei Bi; Jinjun Tang; Wei Hao 002 (Trans. GIS, 2022)

Development of a Safety Prediction Method for Arterial Roads Based on Big-Data Technology and Stacked AutoEncoder-Gated Recurrent Unit. - Wei Hao 002; Donglei Rong; Zhaolei Zhang; Qiyu Wu 003; Young-Ji Byon; Kefu Yi; Jinjun Tang; Nengchao Lyu (IEEE Trans. Intell. Transp. Syst., 2022)

Combining Individual Travel Preferences Into Destination Prediction: A Multi-Module Deep Learning Network. - Jian Liang; Jinjun Tang; Fang Liu 021; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2022)

Reposition optimization in the free-floating bike-sharing system considering transferring travels from urban rail transit. - Xiaoyi Pan; Jinjun Tang; Tianjian Yu; Jianming Cai; Yong Xiong; Fan Gao 003 (Comput. Ind. Eng., 2023)

Combining knowledge graph into metro passenger flow prediction: A split-attention relational graph convolutional network. - Jie Zeng 002; Jinjun Tang (Expert Syst. Appl., 2023)

MSSRGO: A multimeta-model-based global optimization method using a selection-rank-based infill sampling strategy. - Mingyang Li; Lipeng Hu; Jinjun Tang (J. King Saud Univ. Comput. Inf. Sci., 2023)

On region-level travel demand forecasting using multi-task adaptive graph attention network. - Jian Liang; Jinjun Tang; Fan Gao 003; Zhe Wang; Helai Huang (Inf. Sci., 2023)

Modeling Dynamic Traffic Flow as Visibility Graphs: A Network-Scale Prediction Framework for Lane-Level Traffic Flow Based on LPR Data. - Jie Zeng 002; Jinjun Tang (IEEE Trans. Intell. Transp. Syst., 2023)

A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges. - Jian Liang; Jintao Ke; Hai Wang 011; Hongbo Ye; Jinjun Tang (IEEE Trans. Intell. Transp. Syst., 2023)

The flex-route transit service routing plan considering heterogeneous requests and time windows. - Mingyang Li; Jinjun Tang (Adv. Eng. Informatics, 2024)

Road network traffic flow prediction: A personalized federated learning method based on client reputation. - Guowen Dai; Jinjun Tang; Jie Zeng 002; Chen Hu; Chuyun Zhao (Comput. Electr. Eng., 2024)

Vehicle trajectory extraction and integration from multi-direction video on urban intersection. - Jinjun Tang; Weihe Wang (Displays, 2024)

Perception Methods for Adverse Weather Based on Vehicle Infrastructure Cooperation System: A Review. - Jizhao Wang; Zhizhou Wu; Yunyi Liang; Jinjun Tang; Huimiao Chen (Sensors, 2024)

A deep reinforcement learning-based approach for autonomous lane-changing velocity control in mixed flow of vehicle group level. - Zhe Wang; Helai Huang; Jinjun Tang; Lipeng Hu (Expert Syst. Appl., 2024)

Compressing Vehicle Trajectory Data Using Hybrid Coding With Kinematic Motion Prediction. - Lipeng Xu; Zhizhou Wu; Yinhai Wang; Jinjun Tang; Yunyi Liang (IEEE Trans. Intell. Transp. Syst., 2024)

Optimal Deployment of Connected and Autonomous Vehicle Dedicated Lanes: A Trade-Off Between Safety and Efficiency. - Cheng Hu; Chunyang Han; Amjad Pervez; Jingjing Hao; Guangming Xu; Jinjun Tang; Helai Huang (IEEE Trans. Intell. Transp. Syst., 2024)

System-Wide Optimization of Free-Floating Bike-Sharing for Urban Rail Stations: A demand prediction and scheduling approach. - Jinjun Tang; Maoxin Ren; Ziyue Yuan; Jianming Cai; Yunyi Liang (Comput. Ind. Eng., 2025)

Multimodal vehicle trajectory prediction based on intention inference with lane graph representation. - Yubin Chen; Yajie Zou; Yuanchang Xie; Yunlong Zhang; Jinjun Tang (Expert Syst. Appl., 2025)

An exact method to solve the flex-route transit operational planning problem considering energy consumption. - Mingyang Li; Jinjun Tang; Tao Feng (Int. J. Prod. Res., 2025)

Inquiring the Next Location and Travel Time: A Deep-Learning-Based Temporal Point Process for Vehicle Trajectory Prediction. - Jie Zeng 002; Chenxi Xiao; Jinjun Tang; Cheng Hu (IEEE Internet Things J., 2025)

Joint Optimization of Transit Network Design, Timetable, and Passenger Assignment With Exact Transfer Behavior Modeling. - Yunyi Liang; Constantinos Antoniou 001; Mohammad Sadrani; Jinjun Tang (IEEE Trans. Intell. Transp. Syst., 2025)