13 citations · 21 across the 13 of their papers we have counts for
6 papers · 1 filter
Analytical Optimized Traffic Flow Recovery for Large-scale Urban Transportation Network
Sicheng Fu, Haotian Shi, Shixiao Liang +2
The implementation of intelligent transportation systems (ITS) has enhanced data collection in urban transportation through advanced traffic sensing devices. However, the high cost…
Physically Analyzable AI-Based Nonlinear Platoon Dynamics Modeling During Traffic Oscillation: A Koopman Approach
Kexin Tian, Haotian Shi, Yang Zhou +1
Given the complexity and nonlinearity inherent in traffic dynamics within vehicular platoons, there exists a critical need for a modeling methodology with high accuracy while concu…
The expressway network design problem for multiple urban subregions based on the macroscopic fundamental diagram
Yunran Di, Weihua Zhang, Haotian Shi +3
As urbanization advances, cities are expanding, leading to a more decentralized urban structure and longer average commuting durations. The construction of an urban expressway syst…
Cooperative Route Guidance and Flow Control for Mixed Road Networks Comprising Expressway and Arterial Network
Yunran Di, Haotian Shi, Weihua Zhang +3
Facing the congestion challenges of mixed road networks comprising expressways and arterial road networks, traditional control solutions fall short. To effectively alleviate traffi…
A Robust Integrated Multi-Strategy Bus Control System via Deep Reinforcement Learning
Qinghui Nie, Jishun Ou, Haiyang Zhang +3
An efficient urban bus control system has the potential to significantly reduce travel delays and streamline the allocation of transportation resources, thereby offering enhanced a…
Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach
Haotian Shi, Yang Zhou, Keshu Wu +3
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for partially connected and automated traffic environment based on deep r…