Cooperative Negotiation in Connected Vehicles for Mitigating Traffic Congestion

Article Computer Science, Artificial Intelligence

Multiple ACO-based method for solving dynamic MSMD traffic routing problem in connected vehicles

Tri-Hai Nguyen et al.

Summary: The study proposes an ACO-based routing method to solve the multi-source multi-destination traffic routing problem, and applies the idea of coloring ants in a distributed manner. Simulation results show that this method outperforms shortest path-based routing methods.

NEURAL COMPUTING & APPLICATIONS (2021)

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Article Chemistry, Multidisciplinary

Traffic Incident Detection Based on Dynamic Graph Embedding in Vehicular Edge Computing

Gen Li et al.

Summary: This study introduces a new anomaly detection method based on dynamic graph embedding for large time series datasets from the Internet of Things in Ambient Intelligence-enabled smart environments. Experimental results demonstrate significant improvements in traffic incident detection compared to other baseline methods.

APPLIED SCIENCES-BASEL (2021)

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Article Construction & Building Technology

Swarm intelligence-based green optimization framework for sustainable transportation

Tri-Hai Nguyen et al.

Summary: This study proposes a decentralized green traffic optimization framework using digital pheromones to facilitate dynamic routing decisions in connected vehicles. By introducing the concept of repelling pheromone, the method effectively distributes vehicle travel paths throughout the road network, resulting in a congestion-free environment. Simulation results demonstrate that the proposed method outperforms traditional baseline methods in reducing traffic congestion, fuel consumption, emissions, and average trip duration.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Review Green & Sustainable Science & Technology