## Published

Year | Title | Journal/Conference | Author | Link |
---|---|---|---|---|

2023 | Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles | Knowledge-Based Systems | Shi, H., Zhou, Y., Wu, K., Chen, S., Ran, B & Nie, Q. | Full Text |

2023 | A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon | Transportation Research Part C: Emerging Technologies | Shi, H., Chen, D., Zheng N., Wang, X., Zhou, Y., & Ran, B. | Full Text |

2022 | How to Collect Tribal Crash Data Properly? Experience from a New Wisconsin Crash Reporting System | International Conference on Transportation and Development 2022 | Chen, T., Shi, H*., Vorhes, G., Parker, S. T., & Noyce, D. A. | Full Text |

2022 | Rolling-horizon-based strategy of fully cooperative traffic under signalized intersections | Computer-Aided Civil and Infrastructure Engineering | Yao, Y., Zhou, Y., Xia, J., Wang, X., Li, X., & Ran, B. | Full Text |

2022 | Distributed Connected Automated Vehicles Control Under Real-Time Aggregated Macroscopic Car Following Behavior Estimation Based on Deep Reinforcement Learning | SSRN | Shi, H., Chen, D., Zheng, N., Wang, X., Zhou, Y., & Ran, B. | Full Text |

2022 | Generative Adversarial Network for Car Following Trajectory Generation and Anomaly Detection | SSRN | Shi, H., Dong, S., Wu, Y., Li, S., Zhou, Y., & Ran, B. | Full Text |

2022 | Spatially Formulated Connected Automated Vehicle Trajectory Optimization with Infrastructure Assistance | Journal of Advanced Transportation | Yi, R., Zhou, Y., Wang, X., Liu, Z., Li, X., & Ran, B. | Full Text |

2022 | An integrated car-following and lane changing vehicle trajectory prediction algorithm based on a deep neural network | Physica A: Statistical Mechanics and its Applications | Shi, K., Wu, Y., Shi, H., Zhou, Y., & Ran, B. | Full Text |

2022 | A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure | Computer‐Aided Civil and Infrastructure Engineering | Shi, H., Zhou, Y., Wang, X., Fu, S., Gong, S., & Ran, B. | Full Text |

2021 | Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach | Transportation Research Part C: Emerging Technologies | Chen, T., Wang, M., Gong, S., Zhou, Y., & Ran, B. | Full Text |

2021 | Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment | Transportation Research Part C: Emerging Technologies | Shi, H., Zhou, Y., Wu, K., Wang, X., Lin, Y., & Ran, B. | Full Text |

2021 | An integrated Empirical Mode Decomposition and Butterworth filter based vehicle trajectory reconstruction method | Physica A: Statistical Mechanics and its Applications | Dong, S., Zhou, Y., Chen, T., Li, S., Gao, Q., & Ran, B. | Full Text |

2021 | Cooperative critical turning point-based decision-making and planning for CAVH intersection management system | IEEE Transactions on Intelligent Transportation Systems | Li, S., Shu, K., Zhou, Y., Cao, D., & Ran, B. | Full Text |

2021 | A distributed deep reinforcement learning–based integrated dynamic bus control system in a connected environment | Computer‐Aided Civil and Infrastructure Engineering | Shi, H., Nie, Q., Fu, S., Wang, X., Zhou, Y., & Ran, B. | Full Text |

2020 | A Feature-Based Approach to Large-Scale Freeway Congestion Detection Using Full Cellular Activity Data | IEEE Transactions on Intelligent Transportation Systems | Li, S., Cheng, Y., Jin, P., Ding, F., Li, Q., & Ran, B. | Full Text |

2020 | Urban arterial traffic status detection using cellular data without cellphone GPS information | Transportation research part C: emerging technologies | Li, S., Li, G., Cheng, Y., & Ran, B. | Full Text |

2019 | Large-scale full-coverage traffic speed estimation under extreme traffic conditions using a big data and deep learning approach: Case study in China | Journal of Transportation Engineering, Part A: Systems | Ding, F., Zhang, Z., Zhou, Y., Chen, X., & Ran, B. | Full Text |

2019 | Development of an Integrated Transportation System of Connected Automated Vehicles and Highways | ITE Journal | Ran, B., Cheng, Y., Leight, S., & Parker, S. | Full Text |

- Haotian Shi, Danjue Chen, Nan Zheng, Xin Wang, Yang Zhou, Bin Ran. (2023). A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon.
*Transportation Research Part C: Emerging Technologies*. [full text] - Chen, T., Shi, H*., Vorhes, G., Parker, S. T., & Noyce, D. A. (2022). How to Collect Tribal Crash Data Properly? Experience from a New Wisconsin Crash Reporting System. In International Conference on Transportation and Development 2022 (pp. 48-60). [full text]
- Yao, Y., Zhou, Y., Xia, J., Wang, X., Li, X., & Ran, B. (2022). Rolling-horizon-based strategy of fully cooperative traffic under signalized intersections.
*Computer-Aided Civil and Infrastructure Engineering*. [full text] - Shi, H., Chen, D., Zheng, N., Wang, X., Zhou, Y., & Ran, B. Distributed Connected Automated Vehicles Control Under Real-Time Aggregated Macroscopic Car Following Behavior Estimation Based on Deep Reinforcement Learning.
*Available at SSRN 4119544*. [full text] - Shi, H., Dong, S., Wu, Y., Li, S., Zhou, Y., & Ran, B. Generative Adversarial Network for Car Following Trajectory Generation and Anomaly Detection.
*Available at SSRN 4111253*.[full text] - Shi, K., Wu, Y., Shi, H., Zhou, Y., & Ran, B. (2022). An integrated car-following and lane changing vehicle trajectory prediction algorithm based on a deep neural network.
*Physica A: Statistical Mechanics and its Applications*, 127303.[full text] - Shi, H., Zhou, Y., Wang, X., Fu, S., Gong, S., & Ran, B. (2022). A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure.
*Computer‐Aided Civil and Infrastructure Engineering*. [full text] - Chen, T., Wang, M., Gong, S., Zhou, Y., & Ran, B. (2021).Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach.
*Transportation Research Part C: Emerging Technologies,133, 103451.*[full text] - Shi, H., Zhou, Y., Wu, K., Wang, X., Lin, Y., & Ran, B. (2021).Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment.
*Transportation Research Part C: Emerging Technologies, 133, 103421.*[full text] - Dong, S., Zhou, Y., Chen, T., Li, S., Gao, Q., & Ran, B. (2021). An integrated Empirical Mode Decomposition and Butterworth filter based vehicle trajectory reconstruction method.
*Physica A: Statistical Mechanics and its Applications*,*583*, 126295.[full text] - Li, S., Shu, K., Zhou, Y., Cao, D., & Ran, B. (2021). Cooperative critical turning point-based decision-making and planning for CAVH intersection management system.
*IEEE Transactions on Intelligent Transportation Systems*. [full text] - Shi, H., Nie, Q., Fu, S., Wang, X., Zhou, Y., & Ran, B. (2021). A distributed deep reinforcement learning–based integrated dynamic bus control system in a connected environment.
*Computer‐Aided Civil and Infrastructure Engineering*. [full text] - Yi, R., Zhou, Y., Wang, X., Liu, Z., Li, X., & Ran, B. (2021). Infrastructure Assisted Constrained Connected Automated Vehicle Trajectory Optimization on Curved Roads: A Spatial Formulation on a Curvilinear Coordinate.
*arXiv preprint arXiv:2103.00699*. [full text] - Li, S., Cheng, Y., Jin, P., Ding, F., Li, Q., & Ran, B. (2020). A Feature-Based Approach to Large-Scale Freeway Congestion Detection Using Full Cellular Activity Data.
*IEEE Transactions on Intelligent Transportation Systems*. [full text] - Li, S., Li, G., Cheng, Y., & Ran, B. (2020). Urban arterial traffic status detection using cellular data without cellphone GPS information.
*Transportation research part C: emerging technologies*,*114*, 446-462. [full text] - Ding, F., Zhang, Z., Zhou, Y., Chen, X., & Ran, B. (2019). Large-scale full-coverage traffic speed estimation under extreme traffic conditions using a big data and deep learning approach: Case study in China.
*Journal of Transportation Engineering, Part A: Systems*,*145*(5), 05019001. [full text] - Ran, B., Cheng, Y., Leight, S., & Parker, S. (2019). Development of an Integrated Transportation System of Connected Automated Vehicles and Highways.
*ITE Journal*,*89*(11). [full text]

## Under Revision

- Shi, H., Zhou, Y., Wu, K., Chen, S., & Ran, B. A physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles. Knowledge-Based Systems. (Under Revision)
- Chen, T., Gong, S., Wang, M., Wang, X., Zhou, Y., & Ran, B. Stochastic capacity analysis for a distributed connected automated vehicle virtual car-following control strategy. (Under Revision)

Last updated: Jan. 30, 2023