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Shu-Kang Zheng

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#reinforcement learning Open access Sep 2026

Urban Vehicle Route Choice Modeling Based on Multi-Source Trajectory Data and Adversarial Inverse Reinforcement Learning

To address the limitations of traditional route choice models, including their dependence on manually constructed path sets, their difficulty in capturing nonlinear decision preferences, and their insufficient consideration of dynamic congestion factors, this paper proposes an urban vehicle route choice modeling method...

Shu-Kang Zheng, Chang-Jiang Zheng, Gen-Hua Ma et al. · Applied Sciences · 0 citations

Open access Jul 2026

Low-Carbon Urban Freight Optimization: Per-Order Adaptive Mode Mixing with Demonstration-Regularized Constrained Reinforcement Learning

The findings suggest that hard carbon budgets can be controlled in expectation online at modest cost—a step toward operator-facing low-carbon logistics whose average emissions honour a binding carbon budget, though external validation on operational data and a risk-sensitive formulation that upgrades this average contr...

Shu-Kang Zheng, Genhua Ma, Hanpei Yang et al. · Applied Sciences · 0 citations

Open access Aug 2026

Research on Route Optimization for Truck–Drone Delivery Considering En Route Synchronization

Truck–UAV collaborative delivery can improve last-mile logistics efficiency, but fixed-node rendezvous often causes waiting loss and service delay. To address this problem, this paper proposes a route optimization method integrating en route synchronization, pseudo-node insertion, and GAT-PPO. Pseudo-nodes are generate...

Shu-Kang Zheng, Gen-Hua Ma, Hanpei Yang et al. · Applied Sciences · 0 citations