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Transportation Research Part C: Emerging Technologies

Elsevier

ABDC A*
Abstract coverage—see Methodology
Recent paperssorted by most recent
PaperYearCitations
Semi-on-demand hybrid transit route design with shared autonomous mobility services
Max T. M. Ng et al.
20262 citations
Large language model guided deep reinforcement learning for safe autonomous vehicle decision making
Hao Pang et al.
20262 citations
On the resilience-enhanced control for road traffic systems - An “ecological” approach
Shengling Gao et al.
20261 citations
Distributionally robust optimization of sailing speed, bunkering, and fuel switching for dual-fuel liner services
Ping He et al.
20261 citations
From voice to safety: Language AI powered pilot-ATC communication understanding for airport surface movement collision risk assessment
Yutian Pang et al.
20261 citations
Dynamic on-demand delivery with spatial divisions of labor
Yue Yang et al.
20261 citations
Joint optimization of multimodal transit frequency and shared autonomous vehicle fleet size with hybrid metaheuristic and nonlinear programming
Max T. M. Ng et al.
20261 citations
A physics-informed uncertainty quantification framework for deep learning-based real-time lane-change intention prediction
Zhuo Cao et al.
20260 citations
An agent-based approach for travel mode choice equilibrium problem in MaaS considering heterogeneous users
Yifan Zhang et al.
20260 citations
Resilient multi-agent reinforcement learning for centralised tactical conflict resolution under uncertain perturbations and non-cooperative traffic in urban air mobility
Rodolphe Fremond et al.
20260 citations
A large language model for feasible and diverse population synthesis
Sung-Yoo Lim et al.
20260 citations
Robust and reproducible evaluation framework for population synthesis models—Application to probabilistic and deep generative models
Vianey Darsel et al.
20260 citations
A dynamic prompting and scenario generation method for autonomous driving perception via large-model optimization
Song Zhang et al.
20260 citations
The growing role of active and micro-mobility modes: Insights from mode adoption and weekly use by trip purpose
Camila Balbontín et al.
20260 citations
Multi-agent reinforcement learning with a hybrid sequential reward feedback strategy for dynamic multi-modal traffic assignment
Dongyue Cun et al.
20260 citations
GATSim: Urban mobility simulation with generative agents
Qi Liu et al.
20260 citations
Multi-service network design with multi-function drones: Urban monitoring, data collection, and parcel delivery services
Mingzhi Lyu et al.
20260 citations
Origin-destination flow generation for metro network expansion using spatiotemporal gated graph neural networks
Fangyi Ding et al.
20260 citations
TransFM: A foundation model for cross-city multimodal transportation demand prediction
Zhihuan Jiang et al.
20260 citations
NeuralMOVES: A lightweight and microscopic vehicle emission estimation model based on reverse engineering and surrogate learning
Edgar Ramirez-Sanchez et al.
20260 citations

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