Research and practice on building an intelligent connected vehicle simulation test scenario library based on vehicle connected network roadside data

doi:10.12267/j.issn.2096-5931.2024.06.012

Information and Communications Technology and Policy ›› 2024, Vol. 50 ›› Issue (6): 83-88.doi: 10.12267/j.issn.2096-5931.2024.06.012

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Research and practice on building an intelligent connected vehicle simulation test scenario library based on vehicle connected network roadside data

TANG Shaochun¹, SHEN Yunqi², CAI Guohua³, YAN Lidong⁴

1. Deqing County Vehicle Network Intelligent Connectivity Industry Development Co., Ltd., Huzhou 313299, China
2. Huzhou Moganshan State-owned Capital Holding Group Co., Ltd., Huzhou 313299, China
3. Deqing County Ji Tong Vehicle Comprehensive Performance Testing Co., Ltd., Huzhou 313299, China
4. Huzhou branch, China Mobile Communications Group Zhejiang Co., Ltd., Huzhou 313098, China

Received:2024-03-22 Online:2024-06-25 Published:2024-07-30

Abstract

Abstract:

The large amount of real traffic data generated by the infrastructure of the Internet of Vehicles can be used to build a scenario library for simulation testing of intelligent connected vehicles. This article proposes a method system for generating a test scenario library based on the collection of data from the Internet of Vehicles infrastructure, including data collection, scene extraction, scene generation, scene distribution, data desensitization, and looks forward to future development trends.

Key words: Internet of Vehicles, intelligent connected vehicles, safety testing, scenario library

CLC Number:

TP309.7

TANG Shaochun, SHEN Yunqi, CAI Guohua, YAN Lidong. Research and practice on building an intelligent connected vehicle simulation test scenario library based on vehicle connected network roadside data[J]. Information and Communications Technology and Policy, 2024, 50(6): 83-88.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2024.06.012

http://ictp.caict.ac.cn/EN/Y2024/V50/I6/83

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Research and practice on building an intelligent connected vehicle simulation test scenario library based on vehicle connected network roadside data

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