Journal Publications
- [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: 6.3, JCR 1), Hot Paper and Highly Cited Paper. WOS:000408755500007
- [2]Jinjun Tang*, Jie Zeng. “Spatiotemporal gated graph attention network for urban traffic flow prediction based on license plate recognition data”. Computer-Aided Civil and Infrastructure Engineering, In pressed, 2021. (SCI, IF: 8.5). Doi: 10.1111/mice.12688
- [3]Jinjun Tang, Jian Liang, Fang Liu, Jingjing Hao, Yinhai Wang. “Multi- community passenger demand prediction at region level based on spatio-temporal graph convolutional network”, Transportation Research Part C: Emerging Technologies, Vol.124, 102951, 2021, 1-18.
- [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: 6.0, JCR 1)
- [5]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:6.0, JCR 1)
- [6]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: 6.3, JCR 1)
- [7]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, 21(4), 1347-1358. 2020-04. (SCI, IF: 6.3, JCR 1) Highly Cited Paper. WOS:000523478400001
- [8]Jinjun Tang, Yifan Yang, Wei Hao*, Fang Liu, Yinhai Wang. “A data-driven timetable optimization of urban bus line based on multi-objective genetic algorithm”. IEEE Transactions on Intelligent Transportation Systems, In pressed. 2020. (SCI, IF: 6.3, JCR 1) DOI: 10.1109/TITS.2020.3025031.
- [9]Jinjun Tang, Lanlan Zheng, Chunyang Han, Weiqi Yin, Yue Zhang, Yajie Zou, Helai Huang. “Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review”. Analytic Methods in Accident Research, Vol.27, 100123, 1-16, 2020-09. (SSCI, IF:9.1, JCR 1) Highly Cited Paper. WOS:000544910300005
- [10]Jinjun Tang, Weiqi Yin, Chunyang Han*, Xinyuan Liu, Helai Huang. “A random parameters regional quantile analysis for the varying effect of road-level risk factors on crash rates”. Analytic Methods in Accident Research, Vol.29, 2020, 100153, 1-20. (SSCI, IF:9.1, JCR 1)
- [11]Jinjun Tang, Fan Gao, Fang Liu, Chunyang Han*, Jaeyoung Lee. “Spatial Heterogeneity Analysis of Macro-level Crashes Using Geographically Weighted Poisson Quantile Regression”. Accident Analysis and Prevention, 148, 2020-10, 105833, 1-20.
- [12]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
- [13]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
- [14]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) WOS:000470341900019
- [15]Jinjun Tang, Jie Zeng, Yuwei Wang, Hang Yuan, Fang Liu, Helai Huang. “Traffic Flow Prediction on Urban Road Network Based on License Plate Recognition Data: Combining Attention-LSTM with Genetic Algorithm”. Transportmetrica A: Transport Science, In Pressed, 2020. (SCI, IF: 1.9, JCR 2)
- [16]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)
- [17]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
- [18]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)
- [19]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)
- [20]Jinjun Tang, Wei Bi, Fang Liu, Wenhui Zhang. “Exploring urban travel patterns using density-based clustering with multi-attributes from large-scaled vehicle trajectories”. Physica A. Vol.561, 2020, 125301, 1-15. (SCI, IF: 2.9, JCR 2)
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唐进君
Postal Address:6b56e83cc82d144741cdbac79cc3bc24f3994939cde9ddab7bd0757d4af827035a208a88bacf9d1c5a22f766e91218250f18e21c942f5f2d2132b990f67077f752ce9afda6fa03194f4232291e224df22f04bc06f248f09a29c38ec139b910b92206ee62d9fd544075df3e3bef8d33a5650ce01b16e12a06439f5582cbcdad6e
Email:3df3d5e8a1121a19f1f19a34bc61dd2a8cd43b3e9d3a7f6533b6993f6b15d46f2e5bc4e80fa1b0eb1e2874673977c74461e369864698f9ab6e27cdf85c6829a558cfbc80b9d91fddc1c455d657caf02f004fef8fec22606e504391d030f37cee2449dd7a9d2be77a1ca8042ffd9e9439256303d4d3367e53d6d633fc54cc57b5
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