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Jiwan Jiang

Publications
4
Citations
10
Publications by Year
20202025
Co-Authors:
Show All Co-Authors (11)
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Jiwan Jiang

Affiliation

Department of Civil and Environmental Engineering
University of Wisconsin–Madison
Madison, WI, USA

Publication Topics

Biography

Jiwan Jiang received the M.S. degree from the School of Transportation, Southeast University, Nanjing, China, in 2021. She is currently pursuing the Ph.D. degree with the Department of Civil and Environmental Engineering, University of Wisconsin-Madison, USA. Her main research interests focus on controlling and operating the connected automated vehicle, harnessing stochastic methods to learn microscopic and macroscopic traffic flow, and utilizing parallel computing to enhance efficiency.(Based on document published on 16 January 2025).
Publications
4
Citations
10
Publications by Year
20202025
Co-Authors:
Show All Co-Authors (11)
Author's Published Works

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Stochastic Calibration of Automated Vehicle Car-Following Control: An Approximate Bayesian Computation Approach

Jiwan Jiang;Yang Zhou;Ghazaleh Jafarsalehi;Xin Wang;Soyoung Ahn;John D. Lee

IEEE Transactions on Intelligent Transportation Systems
Year: 2025 | Volume: 26, Issue: 3 | Journal Article |
This paper presents a stochastic calibration method based on Approximate Bayesian Computation (ABC). This method is applied to calibrate two car-following control models: linear control and model predictive control (MPC). The method is likelihood-function-free, where the likelihood function is replaced by simulation to approximate the posterior distribution of model parameters. This structure affo...Show More

Stochastic Calibration of Automated Vehicle Car-Following Control: An Approximate Bayesian Computation Approach

Jiwan Jiang;Yang Zhou;Ghazaleh Jafarsalehi;Xin Wang;Soyoung Ahn;John D. Lee

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

Sequencing-Enabled Hierarchical Cooperative CAV On-Ramp Merging Control With Enhanced Stability and Feasibility

Sixu Li;Yang Zhou;Xinyue Ye;Jiwan Jiang;Meng Wang

IEEE Transactions on Intelligent Vehicles
Year: 2024 | Early Access Article |
This paper develops a sequencing-enabled hierarchical connected automated vehicle (CAV) cooperative on-ramp merging control framework. The proposed framework consists of a two-layer design: the upper-level control sequences the vehicles to harmonize the traffic density across mainline and on-ramp segments, simultaneously enhancing lower-level control efficiency through a mixed-integer linear progr...Show More

Sequencing-Enabled Hierarchical Cooperative CAV On-Ramp Merging Control With Enhanced Stability and Feasibility

Sixu Li;Yang Zhou;Xinyue Ye;Jiwan Jiang;Meng Wang

Year: 2024 | Early Access Article |

Sequencing-Enabled Hierarchical Cooperative On-Ramp Merging Control for Connected and Automated Vehicles

Sixu Li;Yang Zhou;Xinyue Ye;Jiwan Jiang;Meng Wang

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2023 | Conference Paper |
This paper develops a sequencing-enabled hierarchical connected automated vehicle (CAV) cooperative on-ramp merging multi-scale control framework. The proposed framework consists of a two-layer design: the upper level control sequences the vehicles to balance the density difference between mainline and on-ramp segments while enhancing lower-level control efficiency through a mixed-integer linear p...Show More

Sequencing-Enabled Hierarchical Cooperative On-Ramp Merging Control for Connected and Automated Vehicles

Sixu Li;Yang Zhou;Xinyue Ye;Jiwan Jiang;Meng Wang

Year: 2023 | Conference Paper |

A Personalized Human Drivers’ Risk Sensitive Characteristics Depicting Stochastic Optimal Control Algorithm for Adaptive Cruise Control

Jiwan Jiang;Fan Ding;Yang Zhou;Jiaming Wu;Huachun Tan

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (10)
This paper presents a personalized stochastic optimal adaptive cruise control (ACC) algorithm for automated vehicles (AVs) incorporating human drivers' risk-sensitivity under system and measurement uncertainties. The proposed controller is designed as a linear exponential-of-quadratic Gaussian (LEQG) problem, which utilizes the stochastic optimal control mechanism to feedback the deviation from th...Show More

A Personalized Human Drivers’ Risk Sensitive Characteristics Depicting Stochastic Optimal Control Algorithm for Adaptive Cruise Control

Jiwan Jiang;Fan Ding;Yang Zhou;Jiaming Wu;Huachun Tan

Year: 2020 | Volume: 8 | Journal Article |

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