| Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network JC Di Zang, Jiawei Ling, Zhihua Wei, Keshuang Tang IEEE Transactions on Intelligent Transportation Systems 20 (10), 3700 – 3709, 2019 | 98* | 2019 |
| Real-time queue length estimation for signalized intersections using vehicle trajectory data F Li, K Tang, J Yao, K Li Transportation Research Record 2623 (1), 49-59, 2017 | 60 | 2017 |
| Cycle-based queue length estimation for signalized intersections using sparse vehicle trajectory data C Tan, J Yao, K Tang, J Sun IEEE Transactions on Intelligent Transportation Systems 22 (1), 91-106, 2019 | 50 | 2019 |
| Modeling drivers' dynamic decision-making behavior during the phase transition period: An analytical approach based on hidden markov model theory K Tang, S Zhu, Y Xu, F Wang IEEE Transactions on Intelligent Transportation Systems 17 (1), 206-214, 2015 | 47 | 2015 |
| A Bayesian approach for estimating vehicle queue lengths at signalized intersections using probe vehicle data Y Mei, W Gu, ECS Chung, F Li, K Tang Transportation Research Part C: Emerging Technologies 109, 233-249, 2019 | 42 | 2019 |
| Traffic sign detection based on cascaded convolutional neural networks D Zang, J Zhang, D Zhang, M Bao, J Cheng, K Tang 2016 17th IEEE/ACIS International Conference on Software Engineering …, 2016 | 41 | 2016 |
| Safety evaluation for intergreen intervals at signalized intersections based on probabilistic method K Tang, H Nakamura Transportation research record 2128 (1), 226-235, 2009 | 39 | 2009 |
| A Kalman filter-based queue length estimation method with low-penetration mobile sensor data at signalized intersections J Yin, J Sun, K Tang Transportation Research Record 2672 (45), 253-264, 2018 | 38 | 2018 |
| Fuzing license plate recognition data and vehicle trajectory data for lane-based queue length estimation at signalized intersections C Tan, L Liu, H Wu, Y Cao, K Tang Journal of Intelligent Transportation Systems 24 (5), 449-466, 2020 | 35 | 2020 |
| An optimization model for arterial coordination control based on sampled vehicle trajectories: The STREAM model J Yao, C Tan, K Tang Transportation research part C: emerging technologies 109, 211-232, 2019 | 35 | 2019 |
| Day-to-day dynamic origin–destination flow estimation using connected vehicle trajectories and automatic vehicle identification data Y Cao, K Tang, J Sun, Y Ji Transportation Research Part C: Emerging Technologies 129, 103241, 2021 | 34 | 2021 |
| Dynamic origin‐destination flow estimation using automatic vehicle identification data: A 3D convolutional neural network approach K Tang, Y Cao, C Chen, J Yao, C Tan, J Sun Computer‐Aided Civil and Infrastructure Engineering 36 (1), 30-46, 2021 | 29 | 2021 |
| A tensor decomposition method for cycle-based traffic volume estimation using sampled vehicle trajectories K Tang, C Tan, Y Cao, J Yao, J Sun Transportation research part C: emerging technologies 118, 102739, 2020 | 28 | 2020 |
| A Group‐Based Signal Timing Optimization Model Considering Safety for Signalized Intersections with Mixed Traffic Flows F Wang, K Tang, K Li, Z Liu, L Zhu Journal of advanced transportation 2019 (1), 2747569, 2019 | 28 | 2019 |
| Behavior of riders of electric bicycles at onset of green and yellow at signalized intersections in China K Tang, S Dong, F Wang, Y Ni, J Sun Transportation research record 2317 (1), 85-96, 2012 | 28 | 2012 |
| Sampled trajectory data-driven method of cycle-based volume estimation for signalized intersections by hybridizing shockwave theory and probability distribution J Yao, F Li, K Tang, S Jian IEEE Transactions on Intelligent Transportation Systems 21 (6), 2615-2627, 2019 | 27 | 2019 |
| Deep learning–based traffic sign recognition for unmanned autonomous vehicles D Zang, Z Wei, M Bao, J Cheng, D Zhang, K Tang, X Li Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2018 | 27 | 2018 |
| Modeling effects of driver safety attitudes on traffic violations in China using the theory of planned behavior C Tan, Y Shi, L Bai, K Tang, K Suzuki, H Nakamura IATSS research 46 (1), 63-72, 2022 | 26 | 2022 |
| Cycle-based queue length estimation considering spillover conditions based on low-resolution point detector data J Yao, K Tang Transportation research part C: emerging technologies 109, 1-18, 2019 | 25 | 2019 |
| An international comparative study on driving attitudes and behaviors based on questionnaire surveys K Suzuki, K Tang, W Alhajyaseen, K Suzuki, H Nakamura IATSS research 46 (1), 26-35, 2022 | 21 | 2022 |
Jiarong YaoNanyang Technological University確認したメール アドレス: ntu.edu.sg
