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https://doi.org/10.7307/ptt.v38i6.1369

Intersection Information Modelling and Case Analysis under the Dual Drive of Path Guidance and Scenario Constraints

Yuewen Jiang ; School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
Shen Ying orcid id orcid.org/0000-0001-8066-9203 ; 1 School of Resource and Environmental Sciences, Wuhan University, Wuhan, China *
Guorui Sun ; School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
Yuanyi Liang ; School of Resource and Environmental Sciences, Wuhan University, Wuhan, China

* Dopisni autor.


Puni tekst: engleski pdf 1.721 Kb

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Sažetak

This study proposes a novel intersection-centric information framework, offering a new perspective and a practical approach to enabling autonomous vehicles (AVs) to navigate intersections safely and efficiently. While high-definition (HD) maps provide rich spatial information for autonomous driving, their excessive data volume often leads to increased computational burden and delays, particularly in intersection environments where timely positioning, perception, and decision-making are critical. To address this issue, we introduce the Road-Lane-Device-Scenario (RLDS) model, which separates and extracts key static and dynamic intersection elements, focusing on essential semantic features such as lane topology, traffic signal logic, and right-of-way rules. This targeted framework introduces an innovative approach to reduce data redundancy, thereby providing significant potential for enhancing the efficiency and intelligence of information processing and decision-making in autonomous driving systems. By effectively addressing the critical bottlenecks associated with intersection scenarios, the proposed framework demonstrates strong potential for practical application, enabling safer, more reliable, and more efficient autonomous vehicle operations in complex urban environments.

Ključne riječi

high-definition map; intersection information; Road-Lane-Device-Scenario (RLDS) model; autonomous driving; traffic and transportation

Hrčak ID:

348612

URI

https://hrcak.srce.hr/348612

Datum izdavanja:

29.6.2026.

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