Review of Autonomous Driving Technology in Intelligent Transportation Systems
The main problems in transportation are traffic accidents, increasingly slow traffic flow, and pollution. It requires huge infrastructure investments in traditional transportation systems to solve. The advent of autonomous driving techniques with intelligent transportation systems (ITS) can overcome these problems. This paper investigates the integration of autonomous driving technology with intelligent transportation systems (ITS) and explores the latest case studies and research findings on this integration. The purpose is to emphasize the crucial role of merging autonomous driving technology with ITS in-boosting transportation efficiency, ensuring road safety, and fostering sustainability. The study delves into innovations such as intelligent traffic management systems and autonomous logistics distribution vehicles. Key findings highlight the potential of this integration to enhance traffic safety, and efficiency, and reduce congestion and accidents. However, unresolved challenges persist in system integration, data correlation, and hazard detection. The paper concludes by emphasizing the transformative potential of autonomous driving within ITS while proposing future research directions to address these challenges.
Authors
- Hao Yang (ORCID: https://orcid.org/0000-0001-6431-8956)
Institutions
- King's College - North Carolina (US)
- King's College London (GB)
Publication Details
- Journal
- Theoretical and Natural Science
- Published
- 2025-01-15
- DOI
- https://doi.org/10.54254/2753-8818/2025.19925
- Primary Topic
- Traffic Prediction and Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00