What type of study is this?

September 5, 2025MathematicsOpen Access

Quantum Computing for Intelligent Transportation Systems: VQE-Based Traffic Routing and EV Charging Scheduling

View Full Paper

Ask AI

Bookmark

Authors

UKUman KhalidKyung Hee University UPUsama Inam ParachaKyung Hee University SRSyed Muhammad Abuzar RizviKyung Hee University

Discussion

Member takes

Implication

Hybrid quantum-classical approach improves traffic routing and EV charging efficiency, suggesting future advancements in intelligent transportation systems.

Key Points

The VQE-based method increases efficiency in EV charging coordination and improves route selection performance.
Simulation results indicate significant improvements in optimization for traffic routing and electric vehicle charging.
A hybrid quantum-classical workflow effectively reformulates scheduling and routing as binary optimization problems.
The research showcases the potential of quantum computing to advance algorithms in next-generation intelligent transportation systems.

Cite This Study

Khalid et al. (2025) studied this question.

synapsesocial.com/papers/68bb3a352b87ece8dc954d8c https://doi.org/10.3390/math13172761

View Full Paper

Ask AI

Bookmark

Implication

Hybrid quantum-classical approach improves traffic routing and EV charging efficiency, suggesting future advancements in intelligent transportation systems.

Quantum Computing for Intelligent Transportation Systems: VQE-Based Traffic Routing and EV Charging Scheduling

Discussion

Member takes

Implication

Key Points

Cite This Study

Quantum Computing for Intelligent Transportation Systems: VQE-Based Traffic Routing and EV Charging Scheduling

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider