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20202025
most citedGoal-based Neural Physics Vehicle Trajectory Prediction Model

13 citations · 21 across the 13 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.AI2024★ 13 cited

Goal-based Neural Physics Vehicle Trajectory Prediction Model

Rui Gan, Haotian Shi, Pei Li +6

Vehicle trajectory prediction plays a vital role in intelligent transportation systems and autonomous driving, as it significantly affects vehicle behavior planning and control, th…

eess.SY2024

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…

cs.RO2024

Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning

Keshu Wu, Yang Zhou, Haotian Shi +3

The intricate nature of real-world driving environments, characterized by dynamic and diverse interactions among multiple vehicles and their possible future states, presents consid…

eess.SY2024★ 1 cited

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…

cs.LG2024★ 1 cited

Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction

Junwei You, Haotian Shi, Keshu Wu +4

Vehicle trajectory prediction is crucial for advancing autonomous driving and advanced driver assistance systems (ADAS), enhancing road safety and traffic efficiency. While traditi…

eess.SY2024

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…

eess.SY2024

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…