Review on Autonomous and Sustainable Urban Mobility Systems: Challenges and Future Directions

This review examines strategies that enable safety and energy efficiency in collaborative intelligent agent ecosystems, including mobile robots, assistive systems, and autonomous vehicles. Safety is framed as a hierarchical architecture: city-wide rou

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Publication Details

Published
2025-09-19
DOI
https://doi.org/10.36227/techrxiv.175825700.01646542/v1
Citations
1
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
1.01
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article

Review on Autonomous and Sustainable Urban Mobility Systems: Challenges and Future Directions

Zirui Wu, Hao Zhang
1 citations
Traffic Prediction and Management Techniques
1.01
article

Review on Autonomous and Sustainable Urban Mobility Systems: Challenges and Future Directions

Zirui Wu, Hao Zhang
article en
1 citations

Abstract

This review examines strategies that enable safety and energy efficiency in collaborative intelligent agent ecosystems, including mobile robots, assistive systems, and autonomous vehicles. Safety is framed as a hierarchical architecture: city-wide rou

University of Manchester (GB), Carnegie Mellon University (US)
Openalex Percentile: Top 20%
Traffic Prediction and Management Techniques
1.01
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Review on Autonomous and Sustainable Urban Mobility Systems: Challenges and Future Directions — Zirui Wu, Hao Zhang · (2025) | TGRS Research Map | TGRS