由標準化觀點探討自駕車所需道路事件資訊之設計與建立

Jia Qi Li, Chin Sung Yang, Jung Hong Hong

研究成果: Article同行評審

摘要

The safe driving of self-driving cars not only relies on the Advanced Driver Assistance Systems (ADAS), but also needs to have a more comprehensive understanding about the real-time road condition based on varieties of consideration that may affect road traffic. Based on the Local Dynamic Map (LDM) concept, this research intends to propose a standardized schema of road event data to assist the operation of self-driving cars from the perspective of 5W1H (What, Where, When, Who, Why, How). The mapping between Common Alerting Protocol and the proposed event scheme is established to facilitate the conversion between alert information and the required road event. Finally, route selection based on dynamically updated road event data is tested with GIS software. The research shows that for implementing the mechanism of LDM, it is necessary to incorporate real-time information provided by various professional authorities and standardized road event description can enable the integrated developments among the industry of self-driving cars.

貢獻的翻譯標題A Standardization Perspective Towards the Design and Establishment of Road Event Information for Self-Driving Cars
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頁(從 - 到)229-241
頁數13
期刊Journal of the Chinese Institute of Civil and Hydraulic Engineering
34
發行號3
DOIs
出版狀態Published - 2022 5月

All Science Journal Classification (ASJC) codes

  • 土木與結構工程

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