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.

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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
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article

Review of Autonomous Driving Technology in Intelligent Transportation Systems

Hao Yang
Theoretical and Natural Science
Traffic Prediction and Management Techniques
article

Review of Autonomous Driving Technology in Intelligent Transportation Systems

Hao Yang
article en

Abstract

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.

Theoretical and Natural ScienceVol. 83(1)
King's College - North Carolina (US), King's College London (GB)
Openalex Percentile: Top 93%
Traffic Prediction and Management Techniques
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Review of Autonomous Driving Technology in Intelligent Transportation Systems — Hao Yang · Theoretical and Natural Science (2025) | TGRS Research Map | TGRS